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THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: Introduction and Other Protein Targets
Stephen P H Alexander, Eamonn Kelly, Alistair Mathie and 50 more
British Journal of Pharmacology · 2021 · CC BY
Abstract
The Concise Guide to PHARMACOLOGY 2021/22 is the fifth in this series of biennial publications. The Concise Guide provides concise overviews, mostly in tabular format, of the key properties of nearly 1900 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands ( www.guidetopharmacology.org ), which provides more detailed views of target and ligand properties. Although the Concise Guide constitutes over 500 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point‐in‐time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/bph.15537 . In addition to this overview, in which are identified ‘Other protein targets’ which fall outside of the subsequent categorisation, there are six areas of focus: G protein‐coupled receptors, ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid‐2021, and supersedes data presented in the 2019/20, 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC‐IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 19, 2026. Paragraph numbers are ours, so an answer can point at one.
Conflict of interest
The authors state that there are no conflicts of interest to disclose.
Table of contents
S1 Introduction and Other Protein Targets
S8 Adiponectin receptors
S9 Aryl hydrocarbon receptor
S10 Non‐enzymatic BRD containing proteins
S11 CD molecules
S13 Methyllysine reader proteins
S14 Fatty acid‐binding proteins
S16 Notch receptors
S17 Regulators of G protein Signaling (RGS) proteins
S17 RZ family
S18 R4 family
S19 R7 family
S19 R12 family
S20 Sigma receptors
S21 Transthyretin
S22 Tubulins
S23 SARS‐CoV‐2
S23 Structural proteins
S24 Polyproteins
S24 Proteases
S25 Nucleic acid turnover
S25 Other proteins
S27 G protein‐coupled receptors
S31 Orphan and other 7TM receptors
S32 Class A Orphans
S41 Class C Orphans
S41 Opsin receptors
S42 Taste 1 receptors
S43 Taste 2 receptors
S44 Other 7TM proteins
S45 5‐Hydroxytryptamine receptors
S48 Acetylcholine receptors (muscarinic)
S50 Adenosine receptors
S52 Adhesion Class GPCRs
S55 Adrenoceptors
S59 Angiotensin receptors
S60 Apelin receptor
S61 Bile acid receptor
S62 Bombesin receptors
S63 Bradykinin receptors
S64 Calcitonin receptors
S66 Calcium‐sensing receptor
S67 Cannabinoid receptors
S68 Chemerin receptors
S69 Chemokine receptors
S73 Cholecystokinin receptors
S74 Class Frizzled GPCRs
S76 Complement peptide receptors
S78 Corticotropin‐releasing factor receptors
S79 Dopamine receptors
S81 Endothelin receptors
S82 G protein‐coupled estrogen receptor
S83 Formylpeptide receptors
S84 Free fatty acid receptors
S86 GABAB receptors
S87 Galanin receptors
S89 Ghrelin receptor
S90 Glucagon receptor family
S91 Glycoprotein hormone receptors
S92 Gonadotrophin‐releasing hormone receptors
S93 GPR18, GPR55 and GPR119
S94 Histamine receptors
S96 Hydroxycarboxylic acid receptors
S97 Kisspeptin receptor
S98 Leukotriene receptors
S100 Lysophospholipid (LPA) receptors
S101 Lysophospholipid (S1P) receptors
S103 Melanin‐concentrating hormone receptors
S104 Melanocortin receptors
S105 Melatonin receptors
S106 Metabotropic glutamate receptors
S108 Motilin receptor
S110 Neuromedin U receptors
S111 Neuropeptide FF/neuropeptide AF receptors
S112 Neuropeptide S receptor
S113 Neuropeptide W/neuropeptide B receptors
S114 Neuropeptide Y receptors
S116 Neurotensin receptors
S117 Opioid receptors
S119 Orexin receptors
S120 Oxoglutarate receptor
S120 P2Y receptors
S123 Parathyroid hormone receptors
S124 Platelet‐activating factor receptor
S125 Prokineticin receptors
S126 Prolactin‐releasing peptide receptor
S127 Prostanoid receptors
S129 Proteinase‐activated receptors
S131 QRFP receptor
S132 Relaxin family peptide receptors
S134 Somatostatin receptors
S135 Succinate receptor
S136 Tachykinin receptors
S137 Thyrotropin‐releasing hormone receptors
S138 Trace amine receptor
S139 Urotensin receptor
S140 Vasopressin and oxytocin receptors
S142 VIP and PACAP receptors
S157 Ion channels
S159 Ligand‐gated ion channels
S160 5‐HT3 receptors
S162 Acid‐sensing (proton‐gated) ion channels (ASICs)
S165 Epithelial sodium channel (ENaC)
S166 GABA A receptors
S172 Glycine receptors
S175 Ionotropic glutamate receptors
S180 IP3 receptors
S181 Nicotinic acetylcholine receptors
S185 P2X receptors
S187 ZAC
S188 Voltage‐gated ion channels
S188 CatSper and Two‐Pore channels
S190 Cyclic nucleotide‐regulated channels
S192 Potassium channels
S193 Calcium‐ and sodium‐activated potassium channels
S195 Inwardly rectifying potassium channels
S199 Two‐pore domain potassium channels
S201 Voltage‐gated potassium channels
S204 Ryanodine receptors
S205 Transient Receptor Potential channels
S219 Voltage‐gated calcium channels
S222 Voltage‐gated proton channel
S223 Voltage‐gated sodium channels
S225 Aquaporins
S227 Chloride channels
S228 ClC family
S230 CFTR
S231 Calcium activated chloride channel
S232 Maxi chloride channel
S233 Volume regulated chloride channels
S234 Connexins and Pannexins
S236 Piezo channels
S237 Sodium leak channel, non‐selective
S238 Orai channels
S245 Nuclear hormone receptors
S247 1A. Thyroid hormone receptors
S248 1B. Retinoic acid receptors
S249 1C. Peroxisome proliferator‐activated receptors
S250 1D. Rev‐Erb receptors
S251 1F. Retinoic acid‐related orphans
S252 1H. Liver X receptor‐like receptors
S253 1I. Vitamin D receptor‐like receptors
S254 2A. Hepatocyte nuclear factor‐4 receptors
S255 2B. Retinoid X receptors
S255 2C. Testicular receptors
S256 2E. Tailless‐like receptors
S256 2F. COUP‐TF‐like receptors
S257 3B. Estrogen‐related receptors
S257 4A. Nerve growth factor IB‐like receptors
S258 5A. Fushi tarazu F1‐like receptors
S259 6A. Germ cell nuclear factor receptors
S259 0B. DAX‐like receptors
S260 Steroid hormone receptors
S260 3A. Estrogen receptors
S261 3C. 3‐Ketosteroid receptors
S264 Catalytic receptors
S266 Cytokine receptor family
S266 IL‐2 receptor family
S268 IL‐3 receptor family
S268 IL‐6 receptor family
S270 IL‐12 receptor family
S271 Prolactin receptor family
S272 Interferon receptor family
S273 IL‐10 receptor family
S274 Immunoglobulin‐like family of IL‐1 receptors
S275 IL‐17 receptor family
S276 GDNF receptor family
S277 Integrins
S281 Pattern recognition receptors
S281 Toll‐like receptor family
S283 NOD‐like receptor family
S285 RIG‐I‐like receptor family
S285 Receptor guanylyl cyclase (RGC) family
S286 Transmembrane guanylyl cyclases
S287 Nitric oxide (NO)‐sensitive (soluble) guanylyl cyclase
S288 Receptor tyrosine kinases (RTKs)
S289 Type I RTKs: ErbB (epidermal growth factor) receptor family
S290 Type II RTKs: Insulin receptor family
S291 Type III RTKs: PDGFR, CSFR, Kit, FLT3 receptor family
S292 Type IV RTKs: VEGF (vascular endothelial growth factor) receptor family
S293 Type V RTKs: FGF (fibroblast growth factor) receptor family
S294 Type VI RTKs: PTK7/CCK4
S294 Type VII RTKs: Neurotrophin receptor/Trk family
S295 Type VIII RTKs: ROR family
S296 Type IX RTKs: MuSK
S296 Type X RTKs: HGF (hepatocyte growth factor) receptor family
S297 Type XI RTKs: TAM (TYRO3‐, AXL‐ and MER‐TK) receptor family
S297 Type XII RTKs: TIE family of angiopoietin receptors
S298 Type XIII RTKs: Ephrin receptor family
S299 Type XIV RTKs: RET
S299 Type XV RTKs: RYK
S300 Type XVI RTKs: DDR (collagen receptor) family
S300 Type XVII RTKs: ROS receptors
S301 Type XVIII RTKs: LMR family
S301 Type XIX RTKs: Leukocyte tyrosine kinase (LTK) receptor family
S302 Type XX RTKs: STYK1
S302 Receptor serine/threonine kinase (RSTK) family
S303 Type I receptor serine/threonine kinases
S304 Type II receptor serine/threonine kinases
S304 Type III receptor serine/threonine kinases
S305 RSTK functional heteromers
S306 Receptor tyrosine phosphatase (RTP) family
S308 Tumour necrosis factor (TNF) receptor family
S313 Enzymes
S318 Acetylcholine turnover
S318 Adenosine turnover
S321 Amino acid hydroxylases
S322 L‐Arginine turnover
S336 2.1.1.‐ Protein arginine N‐methyltransferases
S322 Arginase
S323 Arginine:glycine amidinotransferase
S323 Dimethylarginine dimethylaminohydrolases
S324 Nitric oxide synthases
S325 Carbonic anhydrases
S325 Carboxylases and decarboxylases
S326 Carboxylases
S327 Decarboxylases
S328 Catecholamine turnover
S330 Ceramide turnover
S331 Serine palmitoyltransferase
S331 Ceramide synthase
S332 Sphingolipid Δ4‐desaturase
S332 Sphingomyelin synthase
S333 Sphingomyelin phosphodiesterase
S333 Neutral sphingomyelinase coupling factors
S334 Ceramide glucosyltransferase
S334 Acid ceramidase
S334 Neutral ceramidases
S335 Alkaline ceramidases
S335 Ceramide kinase
S336 Chromatin modifying enzymes
S336 2.1.1.‐ Protein arginine N‐methyltransferases
S337 3.5.1.‐ Histone deacetylases (HDACs)
S338 Cyclic nucleotide turnover/signalling
S338 Adenylyl cyclases (ACs)
S340 Exchange protein activated by cyclic AMP (EPACs)
S341 Phosphodiesterases, 3’,5’‐cyclic nucleotide (PDEs)
S344 Cytochrome P450
S344 CYP1 family
S345 CYP2 family: drug metabolising subset
S346 CYP2 family: physiological enzymes subset
S346 CYP3 family
S347 CYP4 family
S348 CYP5, CYP7 and CYP8 families
S349 CYP11, CYP17, CYP19, CYP20 and CYP21 families
S350 CYP24, CYP26 and CYP27 families
S350 CYP39, CYP46 and CYP51 families
S351 DNA topoisomerases
S351 E3 ubiquitin ligase components
S352 Endocannabinoid turnover
S353 N‐Acylethanolamine turnover
S354 2‐Acylglycerol ester turnover
S355 Eicosanoid turnover
S355 Cyclooxygenase
S356 Prostaglandin synthases
S358 Lipoxygenases
S359 Leukotriene and lipoxin metabolism
S359 GABA turnover
S361 Glycerophospholipid turnover
S361 Phosphoinositide‐specific phospholipase C
S363 Phospholipase A2
S364 Phosphatidylcholine‐specific phospholipase D
S365 Lipid phosphate phosphatases
S366 Phosphatidylinositol kinases
S368 Phosphatidylinositol phosphate kinases
S369 Haem oxygenase
S370 Hydrogen sulphide synthesis
S371 Hydrolases
S373 Inositol phosphate turnover
S373 Inositol 1,4,5‐trisphosphate 3‐kinases
S373 Inositol polyphosphate phosphatases
S374 Inositol monophosphatase
S374 Kinases (EC 2.7.x.x)
S375 Rho kinase
S375 Protein kinase C (PKC) family
S376 Alpha subfamily
S376 Delta subfamily
S377 Eta subfamily
S377 Iota subfamily
S378 FRAP subfamily
S378 Cyclin‐dependent kinase (CDK) family
S379 CDK4 subfamily
S379 GSK subfamily
S380 Polo‐like kinase (PLK) family
S381 STE7 family
S382 Abl family
S382 Ack family
S383 Janus kinase (JakA) family
S383 Src family
S384 Tec family
S385 RAF family
S385 Lanosterol biosynthesis pathway
S388 Nucleoside synthesis and metabolism
S389 Paraoxonase (PON) family
S390 Peptidases and proteinases
S390 Blood coagulation components
S391 A1: Pepsin
S391 A22: Presenilin
S392 C14: Caspase
S392 M1: Aminopeptidase N
S393 M2: Angiotensin‐converting enzymes (ACE and ACE2)
S393 M10: Matrix metallopeptidase
S394 M12: Astacin/Adamalysin
S394 M28: Aminopeptidase Y
S395 M19: Membrane dipeptidase
S395 S1: Chymotrypsin
S396 T1: Proteasome
S397 S8: Subtilisin
S397 S9: Prolyl oligopeptidase
S397 Peptidyl‐prolyl cis/trans isomerases
S399 Poly ADP‐ribose polymerases
S399 Prolyl hydroxylases
S400 Sphingosine 1‐phosphate turnover
S400 Sphingosine kinase
S402 Sphingosine 1‐phosphate phosphatase
S402 Sphingosine 1‐phosphate lyase
S403 Thyroid hormone turnover
S404 1.14.13.9 Kynurenine 3‐monooxygenase
S405 2.5.1.58 Protein farnesyltransferase
S405 3.5.3.15 Peptidyl arginine deiminases (PADI)
S406 3.6.5.2 Small monomeric GTPases
S406 RAS subfamily
S406 RAB subfamily
S412 Transporters
S414 ATP‐binding cassette transporter family
S415 ABCA subfamily
S416 ABCB subfamily
S417 ABCC subfamily
S418 ABCD subfamily of peroxisomal ABC transporters
S419 ABCG subfamily
S419 F‐type and V‐type ATPases
S420 F‐type ATPase
S420 V‐type ATPase
S420 P‐type ATPases
S421 P1B P‐type ATPases: Cu+‐ATPases
S421 P2A P‐type ATPases: Ca2+‐ATPases
S422 P2B P‐type ATPases: Ca2+‐ATPases
S422 Na+/K+‐ATPases
S422 H+/K+‐ATPases
S423 P4 P‐type ATPases: Phospholipid‐transporting ATPases
S423 P5 P‐type ATPases: Mn2+‐ATPases
S424 SLC superfamily of solute carriers
S425 SLC1 family of amino acid transporters
S425 Glutamate transporter subfamily
S427 Alanine/serine/cysteine transporter subfamily
S427 SLC2 family of hexose and sugar alcohol transporters
S428 Class I transporters
S428 Class II transporters
S429 Proton‐coupled inositol transporter
S430 SLC3 and SLC7 families of heteromeric amino acid transporters (HATs)
S430 SLC3 family
S430 SLC7 family
S432 SLC4 family of bicarbonate transporters
S432 Anion exchangers
S433 Sodium‐dependent HCO3 − transporters
S433 SLC5 family of sodium‐dependent glucose transporters
S434 Hexose transporter family
S435 Choline transporter
S436 Sodium iodide symporter, sodium‐dependent multivitamin transporter and sodium‐coupled monocarboxylate transporters
S437 Sodium myo‐inositol cotransporter transporters
S438 SLC6 neurotransmitter transporter family
S439 Monoamine transporter subfamily
S439 GABA transporter subfamily
S440 Glycine transporter subfamily
S442 Neutral amino acid transporter subfamily
S443 SLC8 family of sodium/calcium exchangers
S444 SLC9 family of sodium/hydrogen exchangers
S444 SLC10 family of sodium‐bile acid co‐transporters
S445 SLC11 family of proton‐coupled metal ion transporters
S446 SLC12 family of cation‐coupled chloride transporters
S448 SLC13 family of sodium‐dependent sulphate/carboxylate transporters
S449 SLC14 family of facilitative urea transporters
S450 SLC15 family of peptide transporters
S453 SLC16 family of monocarboxylate transporters
S454 SLC17 phosphate and organic anion transporter family
S454 Type I sodium‐phosphate co‐transporters
S455 Sialic acid transporter
S455 Vesicular glutamate transporters (VGLUTs)
S456 Vesicular nucleotide transporter
S456 SLC18 family of vesicular amine transporters
S457 SLC19 family of vitamin transporters
S458 SLC20 family of sodium‐dependent phosphate transporters
S459 SLC22 family of organic cation and anion transporters
S460 Organic cation transporters (OCT)
S461 Organic zwitterions/cation transporters (OCTN)
S461 Organic anion transporters (OATs)
S462 Urate transporter
S463 Atypical SLC22B subfamily
S464 SLC23 family of ascorbic acid transporters
S465 SLC24 family of sodium/potassium/calcium exchangers
S466 SLC25 family of mitochondrial transporters
S466 Mitochondrial di‐ and tri‐carboxylic acid transporter subfamily
S467 Mitochondrial amino acid transporter subfamily
S468 Mitochondrial phosphate transporters
S468 Mitochondrial nucleotide transporter subfamily
S469 Mitochondrial uncoupling proteins
S469 Miscellaneous SLC25 mitochondrial transporters
S470 SLC26 family of anion exchangers
S470 Selective sulphate transporters
S471 Chloride/bicarbonate exchangers
S471 Anion channels
S472 Other SLC26 anion exchangers
S472 SLC27 family of fatty acid transporters
S473 SLC28 and SLC29 families of nucleoside transporters
S474 SLC28 family
S475 SLC29 family
S476 SLC30 zinc transporter family
S477 SLC31 family of copper transporters
S478 SLC32 vesicular inhibitory amino acid transporter
S479 SLC33 acetylCoA transporter
S480 SLC34 family of sodium phosphate co‐transporters
S481 SLC35 family of nucleotide sugar transporters
S482 SLC36 family of proton‐coupled amino acid transporters
S483 SLC37 family of phosphosugar/phosphate exchangers
S484 SLC38 family of sodium‐dependent neutral amino acid transporters
S484 System A‐like transporters
S485 System N‐like transporters
S485 Orphan SLC38 transporters
S486 SLC39 family of metal ion transporters
S487 SLC40 iron transporter
S488 SLC41 family of divalent cation transporters
S489 SLC42 family of Rhesus glycoprotein ammonium transporters
S490 SLC43 family of large neutral amino acid transporters
S491 SLC44 choline transporter‐like family
S492 SLC45 family of putative sugar transporters
S493 SLC46 family of folate transporters
S494 SLC47 family of multidrug and toxin extrusion transporters
S495 SLC48 heme transporter
S495 SLC49 family of FLVCR‐related heme transporters
S496 SLC50 sugar transporter
S497 SLC51 family of steroid‐derived molecule transporters
S498 SLC52 family of riboflavin transporters
S499 SLC53 Phosphate carriers
S499 SLC54 Mitochondrial pyruvate carriers
S500 SLC55 Mitochondrial cation/proton exchangers
S500 SLC56 Sideroflexins
S501 SLC57 NiPA‐like magnesium transporter family
S501 SLC58 MagT‐like magnesium transporter family
S502 SLC59 Sodium‐dependent lysophosphatidylcholine symporter family
S502 SLC60 Glucose transporters
S503 SLC61 Molybdate transporter family
S503 SLC62 Pyrophosphate transporters
S504 SLC63 Sphingosine phosphate transporters
S504 SLC64 Golgi Ca2+/H+ exchangers
S505 SLC65 NPC‐type cholesterol transporters
S505 SLC66 Lysosomal amino acid transporters
S506 SLCO family of organic anion transporting polypeptides
Introduction
In order to allow clarity and consistency in pharmacology, there is a need for a comprehensive organisation and presentation of the targets of drugs. This is the philosophy of the IUPHAR/BPS Guide to PHARMACOLOGY presented on the online free access database (http://www.guidetopharmacology.org/). This database is supported by the British Pharmacological Society (BPS), the International Union of Basic and Clinical Pharmacology (IUPHAR), the University of Edinburgh and previously the Wellcome Trust. Data included in the Guide to PHARMACOLOGY are derived in large part from interactions with the subcommittees of the Nomenclature amd Standards Committee of the International Union of Basic and Clinical Pharmacology (NC‐IUPHAR). A major influence on the development of the database was Tony Harmar (1951‐2014), who worked with a passion to establish the curators as a team of highly informed and informative individuals, with a focus on high‐quality data input, ensuring a suitably validated dataset. The Editors of the Concise Guide have compiled the individual records, in concert with the team of Curators, drawing on the expert knowledge of these latter subcommittees. The tables allow an indication of the status of the nomenclature for the group of targets listed, usually previously published in Pharmacological Reviews. In the absence of an established subcommittee, advice from several prominent, independent experts has generally been obtained to produce an authoritative consensus on nomenclature, which attempts to fit in within the general guidelines from NC‐IUPHAR. This current edition, the Concise Guide to PHARMACOLOGY 2021/22, is the latest snapshot of the database in print form, following on from the Concise Guide to PHARMACOLOGY 2019/20. It contains data drawn from the online database as a rapid overview of the major pharmacological targets. Thus, there are many fewer targets presented in the Concise Guide compared to the online database. The priority for inclusion in the Concise Guide is the presence of quantitative pharmacological data for human proteins. This means that often orphan family members are not presented in the Concise Guide, although structural information is available on the online database. The organisation of the data is tabular(where appropriate) with a standardised format, where possible on a single page, intended to aid understanding of, and comparison within, a particular target group. The Concise Guide is intended as an initial resource, with links to additional reviews and resources for greater depth and information. Pharmacological and structural data focus primarily on human gene products, wherever possible, with links to HGNC gene nomenclature and UniProt IDs. In a few cases, where data from human proteins are limited, data from other species are indicated. Pharmacological tools listed are prioritised on the basis of selectivity and availability. That is, agents(agonists, antagonists, inhibitors, activators, etc.) are included where they are both available (by donation or from commercial sources, now or in the near future) AND the most selective. The Concise Guide is divided into seven sections, which comprise pharmacological targets of similar structure/function. These are G protein‐coupled receptors, ion channels (combining previous records of ligand‐gated, voltage‐gated and other ion channels), catalytic receptors, nuclear hormone receptors, enzymes, transporters and other protein targets. We hope that the Concise Guide will provide for researchers, teachers and students a state‐of‐the art source of accurate, curated information on the background to their work that they will use in the Introductions to their Research Papers or Reviews, or in supporting their teaching and studies. We recommend that any citations to information in the Concise Guide are presented in the following format:
Alexander SPH et al. (2021). The Concise Guide to PHARMACOLOGY 2021/22: Overview. Br J Pharmacol 178: S1–S26.
In this overview are listed protein targets of pharmacological interest, which are not G protein‐coupled receptors, ion channels, nuclear hormone receptors, catalytic receptors, transporters or enzymes. For obvious reasons, we have included potential drug targets of the SARS‐CoV‐2 virus, despite the current limited pharmacological data.
Acknowledgements
We are extremely grateful to the British Pharmacological Society and the International Union of Basic and Clinical Pharmacology, for financial support of the website and for advice from the NC‐IUPHAR subcommittees. We thank the University of Edinburgh, who host the www.guidetopharmacology.org website. Previously, IUPHAR and the Wellcome Trust (099156/Z/12/Z]) also supported the initiation and expansion of the database. We are also tremendously grateful to the long list of collaborators from NC‐IUPHAR subcommittees and beyond, who have assisted in the construction of the Concise Guide to PHARMACOLOGY 2021/22 and the online database www.GuideToPHARMACOLOGY.org.
Conflict of interest
The authors state that there are no conflicts of interest to disclose.
Family structure
– Abscisic acid receptor complex
S8 Adiponectin receptors
– Anti‐infective targets
– Antimalarial targets
– Other anti‐infective targets
S9 Aryl hydrocarbon receptor
– B‐cell lymphoma 2(Bcl‐2) protein family
– Bromodomain‐containing proteins
S10 Non‐enzymatic BRD containing proteins
– Butyrophilin and butyrophilin‐like proteins
S11 CD molecules
– Chaperone proteins
– Lipid binding chaperones
– Chitinase‐like proteins
– Chromatin‐interacting transcriptional repressors
S13 Methyllysine reader proteins
– Circadian clock proteins
– Claudins
– Cytolytic pore‐forming proteins
– EF‐hand domain containing proteins
S14 Fatty acid‐binding proteins
– Guanine nucleotide exchange factors (GEFs)
– Heat shock proteins
– Hypoxia‐inducible factors
– Immune checkpoint proteins
– Immunoglobulin C1‐set domain‐containing proteins
– Immunoglobulin C2‐set domain‐containing proteins
– Immunoglobulin like domain containing proteins
– Immunoglobulins
– Inhibitors of apoptosis (IAP) protein family
– Kelch‐like proteins
– Kinesins
– Leucine‐rich repeat proteins
– Lymphocyte antigens
– Mitochondrial‐associated proteins
– Myosin binding proteins
– Neuropilins and Plexins
– Non‐catalytic pattern recognition receptors
S16 Notch receptors
– Nuclear export proteins
– Pentraxins
S17 Regulators of G protein Signaling (RGS) proteins
S17 RZ family
S18 R4 family
S19 R7 family
S19 R12 family
– Repulsive guidance molecules
– Reticulons and associated proteins
– Ribosomal factors
– Sialic acid binding Ig like lectins
S20 Sigma receptors
– Signal regulatory proteins
– Tetraspanins
– Transcription factors
– Transcription factor regulators
–NF‐κB regulators
S21 Transthyretin
S22 Tubulins
– Tumour‐associated antigens
– WD repeat‐containing proteins
– Plasmodium multidrug resistance family
S23 SARS‐CoV‐2
S23 Structural proteins
S24 Polyproteins
S24 Proteases
S25 Nucleic acid turnover
S25 Other proteins
Overview
Adiponectin receptors (provisional nomenclature, ENSFM00500000270960) respond to the 30 kDa complement‐related protein hormone adiponectin (also known as ADIPOQ: adipocyte, C1q and collagen domain‐containing protein; ACRP30, adipose most abundant gene transcript 1; apM‐1; gelatin‐binding protein: Q15848) originally cloned from adipocytes [69]. Although sequence data suggest 7TM domains, immunological evidence indicates that, contrary to typical 7TM topology, the carboxyl terminus is extracellular, while the amino terminus is intracellular [136]. Signalling through these receptors appears to avoid G proteins; modelling based on the crystal structures of the adiponectin receptors suggested ceramidase acivity, which would make these the first in a new family of catalytic receptors [121].
Further reading on Adiponectin receptors
Fisman EZ et al. (2014) Adiponectin: a manifold therapeutic target for metabolic syndrome, diabetes, and coronary disease? Cardiovasc Diabetol 13: 103 [PMID:24957699]
Okada‐Iwabu M et al. (2018) Structure and function analysis of adiponectin receptors toward development of novel antidiabetic agents promoting healthy longevity. Endocr J 65: 971‐977 [PMID:30282888]
Ruan H et al. (2016) Adiponectin signaling and function in insulin target tissues. J Mol Cell Biol 8: 101‐9 [PMID:26993044]
Wang Y et al. (2017) Cardiovascular Adiponectin Resistance: The Critical Role of Adiponectin Receptor Modification. Trends Endocrinol Metab 28: 519‐530 [PMID:28473178]
Zhao L et al. (2014) Adiponectin and insulin cross talk: the microvascular connection. Trends Cardiovasc Med 24: 319‐24 [PMID:25220977]
Comments
T‐Cadherin ( CDH13, P55290) has also been suggested to be a receptor for (hexameric) adiponectin [47].
Overview
The aryl hydrocarbon receptor, highly expressed in the liver and barrier organs, is resident in the cytoplasm bound to the chaperone heat shock protein hsp90. Upon agonist activation, the ligand:aryl hydrocarbon receptor complex migrates to the nucleus and binds the aryl hydrocarbon receptor nuclear translocator (ARNT, P27540, also known as HIF1β). The complex regulates transcription of selected genes through interaction with xenobiotic response elements (XRE). Among the genes regulated by the AHR/ARNT complex are cytochrome P450s, particularly CYP1A1, and the period circadian protein homolog 1 (PER1, O15534). The aryl hydrocarbon receptor is also capable of non‐genomic signalling.
Further reading on Aryl hydrocarbon receptor
Bock KW. (2019) Aryl hydrocarbon receptor (AHR): From selected human target genes and crosstalk with transcription factors to multiple AHR functions. Biochem Pharmacol 168: 65‐70 [PMID:31228464]
Bock KW. (2020) Aryl hydrocarbon receptor (AHR) functions: Balancing opposing processes including inflammatory reactions. Biochem Pharmacol 178: 114093 [PMID:32535108]
Esser C et al. (2015) The aryl hydrocarbon receptor in barrier organ physiology, immunology, and toxicology. Pharmacol Rev 67: 259‐79 [PMID:25657351]
Roman ÁC et al. (2018) The aryl hydrocarbon receptor in the crossroad of signalling networks with therapeutic value. Pharmacol Ther 185: 50‐63 [PMID:29258844]
Rothhammer V et al. (2019) The aryl hydrocarbon receptor: an environmental sensor integrating immune responses in health and disease. Nat Rev Immunol 19: 184‐197 [PMID:30718831]
Shi Y et al. (2020) The aryl hydrocarbon receptor: An environmental effector in the pathogenesis of fibrosis. Pharmacol Res 160: 105180 [PMID:32877693]
Overview
Bromodomains bind proteins with acetylated lysine residues, such as histones, to regulate gene transcription. Listed herein are examples of bromodomain‐containing proteins for which sufficient pharmacology exists.
Further reading on Non‐enzymatic BRD containing proteins
Fujisawa T et al. (2017) Functions of bromodomain‐containing proteins and their roles in homeostasis and cancer. Nat Rev Mol Cell Biol 18: 246‐262 [PMID:28053347]
Myrianthopoulos V et al. (2019) From bench to bedside, via desktop. Recent advances in the application of cutting‐edge in silico tools in the research of drugs targeting bromodomain modules. Biochem Pharmacol 159: 40‐51 [PMID:30414936]
Nicholas DA et al. (2017) BET bromodomain proteins and epigenetic regulation of inflammation: implications for type 2 diabetes and breast cancer. Cell Mol Life Sci 74: 231‐243 [PMID:27491296]
Ramadoss M et al. (2018) Targeting the cancer epigenome: synergistic therapy with bromodomain inhibitors. Drug Discov Today 23: 76‐89 [PMID:28943305]
Spriano F et al. (2020) Targeting BET bromodomain proteins in cancer: The example of lymphomas. Pharmacol Ther 215: 107631 [PMID:32693114]
Tang P et al. (2021) Targeting Bromodomain and Extraterminal Proteins for Drug Discovery: From Current Progress to Technological Development. J Med Chem 64: 2419‐2435 [PMID:33616410]
Overview
Cluster of differentiation refers to an attempt to catalogue systematically a series of over 300 cell‐surface proteins associated with immunotyping. Many members of the group have identified functions as enzymes (for example, see CD73 ecto‐5’‐nucleotidase) or receptors (for example, see CD41 integrin, alpha 2b subunit). Many CDs are targeted for therapeutic gain using antibodies for the treatment of proliferative disorders. A full listing of all the Clusters of Differentiation proteins is not possible in the Guide to PHARMACOLOGY; listed herein are selected members of the family targeted for therapeutic gain.
Further reading on CD molecules
Bewersdorf JP et al. (2021) Immune checkpoint inhibition in myeloid malignancies: Moving beyond the PD‐1/PD‐L1 and CTLA‐4 pathways. Blood Rev 45: 100709 [PMID:32487480]
Chi Z et al. (2021) Transcriptional and epigenetic regulation of PD‐1 expression. Cell Mol Life Sci 78: 3239‐3246 [PMID:33738533]
Gabius HJ et al. (2015) The glycobiology of the CD system: a dictionary for translating marker designations into glycan/lectin structure and function. Trends Biochem Sci 40: 360‐76 [PMID:25981696]
Huang MY et al. (2021) Combination therapy with PD‐1/PD‐L1 blockade in non‐small cell lung cancer: strategies and mechanisms. Pharmacol Ther 219: 107694 [PMID:32980443]
Vosoughi T et al. (2019) CD markers variations in chronic lymphocytic leukemia: New insights into prognosis. J Cell Physiol 234: 19420‐19439 [PMID:31049958]
Comments
The endogenous ligands for human PD‐1 are programmed cell death 1 ligand 1 (PD‐L1 aka CD274 (CD274, Q9NZQ7)) and programmed cell death 1 ligand 2 (PD‐L2; PDCD1LG2). These ligands are cell surface peptides, normally involved in immune system regulation. Expression of PD‐1 by cancer cells induces immune tolerance and evasion of immune system attack. Anti‐PD‐1 monoclonal antibodies are used to induce immune checkpoint blockade as a therapeutic intervention in cancer, effectively re‐establishing immune vigilance. Pembrolizumab was the first anti‐PD‐1 antibody to be approved by the US FDA.
Overview
Methyllysine reader proteins bind to methylated proteins, such as histones, allowing regulation of gene expression.
Further reading on Methyllysine reader proteins
Daskalaki MG et al. (2018) Histone methylation and acetylation in macrophages as a mechanism for regulation of inflammatory responses. J Cell Physiol 233: 6495‐6507 [PMID:29574768]
Furuya K et al. (2019) Epigenetic interplays between DNA demethylation and histone methylation for protecting oncogenesis. J Biochem 165: 297‐299 [PMID:30605533]
Levy D. (2019) Lysine methylation signaling of non‐histone proteins in the nucleus. Cell Mol Life Sci 76: 2873‐2883 [PMID:31123776]
Li J et al. (2019) Understanding histone H3 lysine 36 methylation and its deregulation in disease. Cell Mol Life Sci 76: 2899‐2916 [PMID:31147750]
Shafabakhsh R et al. (2019) Role of histone modification and DNA methylation in signaling pathways involved in diabetic retinopathy. J Cell Physiol 234: 7839‐7846 [PMID:30515789]
Overview
Fatty acid‐binding proteins are low molecular weight (100‐130 aa) chaperones for long chain fatty acids, fatty acyl CoA esters, eicosanoids, retinols, retinoic acids and related metabolites and are usually regarded as being responsible for allowing the otherwise hydrophobic ligands to be mobile in aqueous media. These binding proteins may perform functions extracellularly (e.g. in plasma) or transport these agents; to the nucleus to interact with nuclear receptors (principally PPARs and retinoic acid receptors [99]) or for interaction with metabolic enzymes. Although sequence homology is limited, crystallographic studies suggest conserved 3D structures across the group of binding proteins.
Further reading on Fatty acid‐binding proteins
Gajda AM et al. (2015) Enterocyte fatty acid‐binding proteins (FABPs): different functions of liver and intestinal FABPs in the intestine. Prostaglandins Leukot Essent Fatty Acids 93: 9‐16 [PMID:25458898]
Glatz JF. (2015) Lipids and lipid binding proteins: a perfect match. Prostaglandins Leukot Essent Fatty Acids 93: 45‐9 [PMID:25154384]
Hotamisligil GS et al. (2015) Metabolic functions of FABPs–mechanisms and therapeutic implications. Nat Rev Endocrinol 11: 592‐605 [PMID:26260145]
Matsumata M et al. (2016) Fatty acid binding proteins and the nervous system: Their impact on mental conditions. Neurosci Res 102: 47‐55 [PMID:25205626]
Nguyen HC et al. (2020) Role of the Fatty Acid Binding Proteins in Cardiovascular Diseases: A Systematic Review. J Clin Med 9: [PMID:33105856]
Osumi T et al. (2016) Heart lipid droplets and lipid droplet‐binding proteins: Biochemistry, physiology, and pathology. Exp Cell Res 340: 198‐204 [PMID:26524506]
Comments
Although not tested at all FABPs, BMS309403 exhibits high affinity for FABP4 (pIC50 ˜8.8) compared to FABP3 or FABP5 (pIC50<6.6) [27, 118]. HTS01037 is reported to interfere with FABP4 action [42]. Ibuprofen displays some selectivity for FABP4 (pIC50 5.5) relative to FABP3 (pIC50 3.5) and FABP5 (pIC50 3.8) [68]. Fenofibric acid displays some selectivity for FABP5 (pIC50 5.5) relative to FABP3 (pIC50 4.5) and FABP4 (pIC50 4.6) [68]. Multiple pseudogenes for the FABPs have been identified in the human genome.
Overview
Aberrant Notch signalling is implicated in a number of human cancers [59, 80, 108, 126], and there is intense pharmaceutical activity being directed towards achieving clinically effective Notch pathway inhibition [24, 75].
Further reading on Notch receptors
Fabbro D et al. (2020) Notch Inhibition in Cancer: Challenges and Opportunities. Chimia (Aarau) 74: 779‐783 [PMID:33115560]
Moore G et al. (2020) Top Notch Targeting Strategies in Cancer: A Detailed Overview of Recent Insights and Current Perspectives. Cells 9: [PMID:32575680]
Palmer WH et al. (2015) Ligand‐Independent Mechanisms of Notch Activity. Trends Cell Biol 25: 697‐707 [PMID:26437585]
Previs RA et al. (2015) Molecular pathways: translational and therapeutic implications of the Notch signaling pathway in cancer. Clin Cancer Res 21: 955‐61 [PMID:25388163]
Takebe N et al. (2015) Targeting Notch, Hedgehog, and Wnt pathways in cancer stem cells: clinical update. Nat Rev Clin Oncol 12: 445‐64 [PMID:25850553]
Overview
Regulator of G protein Signaling, or RGS, proteins serve an important regulatory role in signaling mediated by G protein‐coupled receptors (GPCRs). They all share a common RGS domain that directly interacts with active, GTP‐bound Gα subunits of heterotrimeric G proteins. RGS proteins stabilize the transition state for GTP hydrolysis on Gα and thus induce a conformational change in the Gα subunit that accelerates GTP hydrolysis, thereby effectively turning off signaling cascades mediated by GPCRs. This GTPase accelerating protein (GAP) activity is the canonical mechanism of action for RGS proteins, although many also possess additional functions and domains. RGS proteins are divided into four families, R4, R7, R12 and RZ based on sequence homology, domain structure as well as specificity towards Gα subunits. For reviews on RGS proteins and their potential as therapeutic targets, see e.g. [5, 45, 79, 93, 105, 106, 107, 138, 140].
Further reading on Regulators of G protein Signaling (RGS) proteins
Alqinyah M et al. (2018) Regulating the regulators: Epigenetic, transcriptional, and post‐translational regulation of RGS proteins. Cell Signal 42: 77‐87 [PMID:29042285]
Fuentes N et al. (2021) RGS proteins, GRKs, and beta‐arrestins modulate G protein‐mediated signaling pathways in asthma. Pharmacol Ther 223: 107818 [PMID:33600853]
Neubig RR et al. (2002) Regulators of G‐protein signalling as new central nervous system drug targets. Nat Rev Drug Discov 1: 187‐97 [PMID:12120503]
Sethakorn N et al. (2010) Non‐canonical functions of RGS proteins. Cell Signal 22: 1274‐81 [PMID:20363320]
Sjögren B. (2017) The evolution of regulators of G protein signalling proteins as drug targets ‐ 20 years in the making: IUPHAR Review 21. Br J Pharmacol 174: 427‐437 [PMID:28098342]
Sjögren B et al. (2010) Thinking outside of the "RGS box": new approaches to therapeutic targeting of regulators of G protein signaling. Mol Pharmacol 78: 550‐7 [PMID:20664002]
Overview
The RZ family of RGS proteins is less well characterized than the other families. It consists of, RGS17(also known as RGSZ2), RGS19 (also known as GAIP) and RGS20 (with several splice variants including RGSZ1 and Ret‐RGS). All members contain an N‐terminal cysteine string motif [62] which is a site of palmitoylation and could serve functions in membrane targeting, protein stability or aid protein‐protein interactions [2, 62]. However, the function in the case of RZ family RGS proteins is not yet fully understood. Members of the RZ family of RGS proteins are the only RGS proteins that have selective GAP activity for Gαz, a function that resulted in the name of the family [31, 71, 127, 134]. However, the members of the RZ family are able to also GAP Gαi/o members with varying selectivity.
The R4 family of RGS proteins is the largest family of RGS proteins with 10 members. Each of the R4 family members contain only small N‐ and C‐termini apart from the RGS domain. The N‐terminal amphipathic helix present in most R4 family members serves an important function in membrane association and can directly bind phospholipids. In contrast to the RGS domain, which is well conserved among members of the R4 family of RGS proteins, the N‐ and C‐termini vary, enabling specificity of non‐GAP functions. Despite the non‐complex structure of these proteins, several R4 family RGS proteins have been shown to possess additional functions apart from acting as GAPs at activated Gα subunits [11, 96].
Further reading on R4 family
Xie Z et al. (2016) R4 Regulator of G Protein Signaling (RGS) Proteins in Inflammation and Immunity. AAPS J 18: 294‐304 [PMID:26597290]
Overview
The members of the R7 family of RGS proteins [6] are more complex structures than the R4 family and are closely related to the C. elegans homologues EGL‐10 and EAT‐16 that were identified in the early stage of RGS protein research [36, 55]. Apart from the RGS domain, several additional domains are present in these proteins that mediate protein‐protein interactions, sub‐cellular localization and protein stability. All R7 family members form obligatory dimers with Gβ5 through the G‐γ like (GGL) domain and the disheveled‐EGL10‐Pleckstrin homology (DEP) domain [109]. The DEP and DEP helical extension domain interact with R7 binding protein (R7BP) or RGS9 anchoring protein (R9AP; in retina) that serves as a plasma membrane anchoring mechanism [41, 51].
The R12 family consisting of RGS10, 12 and 14. RGS12 and 14 are large proteins with additional domains that can participate in protein‐protein interactions and other functions. In contrast, RGS10 is a small protein consisting of the RGS domain and small N‐ and C‐termini, similar to members of the R4 family. However, the sequence homology the RGS10 RGS domain clearly places it in the R12 family [58]. The Gαi/o‐Loco(GoLoco) motif in RGS12 and 14 has GDI activity (for Guanine nucleotide Dissociation Inhibitor) towards Gαi1, Gαi2 and Gαi3 [53, 105]. Through this activity RGS12 and RGS14 can inhibit G protein signaling both by accelerating GTP hydrolysis and by preventing G protein activation. Splice variants of RGS12 and RGS14 also contain membrane targeting and protein‐protein interaction domains [97, 111, 112].
Although termed ’receptors’, the evidence for coupling through conventional signalling pathways is lacking. Initially described as a subtype of opioid receptors, there is only a modest pharmacological overlap and no structural convergence with the G protein‐coupled receptors; the crystal structure of the sigma1 receptor [98] suggests a trimeric structure of a single short transmembrane domain traversing the endoplasmic reticulum membrane, with the bulk of the protein facing the cytosol. A wide range of compounds, ranging from psychoactive agents to antihistamines, have been observed to bind to these sites.
Further reading on Sigma receptors
Chu UB et al. (2016) Biochemical Pharmacology of the Sigma‐1 Receptor. Mol Pharmacol 89: 142‐53 [PMID:26560551]
Herrando‐Grabulosa M et al. (2021) Sigma 1 receptor as a therapeutic target for amyotrophic lateral sclerosis. Br J Pharmacol 178: 1336‐1352 [PMID:32761823]
Sambo DO et al. (2018) The sigma‐1 receptor as a regulator of dopamine neurotransmission: A potential therapeutic target for methamphetamine addiction. Pharmacol Ther 186: 152‐167 [PMID:29360540]
Schmidt HR et al. (2019) The Molecular Function ofσ Receptors: Past, Present, and Future. Trends Pharmacol Sci 40: 636‐654 [PMID:31387763]
Su TP et al. (2016) The Sigma‐1 Receptor as a Pluripotent Modulator in Living Systems. Trends Pharmacol Sci 37: 262‐278 [PMID:26869505]
Vavers E et al. (2019) Allosteric Modulators of Sigma‐1 Receptor: A Review. Front Pharmacol 10: 223 [PMID:30941035]
Comments
(‐)‐pentazocine also shows activity at opioid receptors. The sigma2 receptor has recently been reported to be TMEM97 [4], a 4TM protein partner of NPC1, the Niemann‐Pick C1 protein, a 13TM cholesterol‐binding protein.
Overview
Transthyretin (TTR) is a homo‐tetrameric protein which transports thyroxine in the plasma and cerebrospinal fluid and retinol (vitamin A) in the plasma. Many disease causing mutations in the protein have been reported, many of which cause complex dissociation and protein mis‐assembly and deposition of toxic aggregates amyloid fibril formation [84]. These amyloidogenic mutants are linked to the development of pathological amyloidoses, including familial amyloid polyneuropathy (FAP) [7, 20], familial amyloid cardiomyopathy(FAC) [49], amyloidotic vitreous opacities, carpal tunnel syndrome [76] and others. In old age, non‐mutated TTR can also form pathological amyloid fibrils [131]. Pharmacological intervention to reduce or prevent TTR dissociation is being pursued as a therapeutic strategy. To date one small molecule kinetic stabilising molecule (tafamidis) has been approved for FAP, and is being evaluated in clinical trials for other TTR amyloidoses.
Further reading on Transthyretin
Adams D et al. (2019) Hereditary transthyretin amyloidosis: a model of medical progress for a fatal disease. Nat Rev Neurol 15: 387‐404 [PMID:31209302]
Bezerra F et al. (2020) Modulation of the Mechanisms Driving Transthyretin Amyloidosis. Front Mol Neurosci 13: 592644 [PMID:33362465]
Dohrn MF et al. (2020) Targeting transthyretin ‐ Mechanism‐based treatment approaches and future perspectives in hereditary amyloidosis. J Neurochem [PMID:33155274]
Galant NJ et al. (2017) Transthyretin amyloidosis: an under‐recognized neuropathy and cardiomyopathy. Clin Sci 131: 395‐409 [PMID:28213611]
Griffin JM et al. (2019) Transthyretin cardiac amyloidosis: A treatable form of heart failure with a preserved ejection fraction. Trends Cardiovasc Med [PMID:31889610]
Comments
Excess production and accumulation of TTR causes hereditary transthyretin‐mediated amyloidosis. Two novel drugs are now approved to combat this disease: inotersen(Tegsedi ® ) [52] and patisiran(Onpattro ® ) [46]. Both of these drugs act to reduce the amount of TTR protein (both wild type and mutant) produced in the liver, but by slightly different mechanisms. Inotersen is an antisense oligonucleotide inhibitor of TTR synthesis, whereas patisiran is a double‐stranded small interfering RNA (which targets a conserved sequence in the 3’ UTR of mutant and wild‐type TTR mRNA). Inotersen is administered subcutaneously, and patisiran is delivered by intravenous infusion in a lipid nanoparticle formulation.
Overview
Tubulins are a family of intracellular proteins most commonly associated with microtubules, part of the cytoskeleton. They are exploited for therapeutic gain in cancer chemotherapy as targets for agents derived from a variety of natural products: taxanes, colchicine and vinca alkaloids. These are thought to act primarily throughβ‐tubulin, thereby interfering with the normal processes of tubulin polymer formation and disassembly.
Further reading on Tubulins
Arnst KE et al. (2019) Current advances of tubulin inhibitors as dual acting small molecules for cancer therapy. Med Res Rev 39: 1398‐1426 [PMID:30746734]
Boiarska Z et al. (2021) Microtubule‐targeting agents and neurodegeneration. Drug Discov Today 26: 604‐615 [PMID:33279455]
Eshun‐Wilson L et al. (2019) Effects of α‐tubulin acetylation on microtubule structure and stability. Proc Natl Acad Sci USA 116: 10366‐10371 [PMID:31072936]
Gadadhar S et al. (2017) The tubulin code at a glance. J Cell Sci 130: 1347‐1353 [PMID:28325758]
Magiera MM et al. (2018) Tubulin Posttranslational Modifications and Emerging Links to Human Disease. Cell 173: 1323‐1327 [PMID:29856952]
Penna LS et al. (2017) Anti‐mitotic agents: Are they emerging molecules for cancer treatment? Pharmacol Ther 173: 67‐82 [PMID:28174095]
SARS‐CoV‐2
Coronaviruses are large, often spherical, enveloped, single‐stranded positive‐sense RNA viruses, ranging in size from 80–220 nm. Their genomes and protein structures are highly conserved. Three coronaviruses have emerged over the last 20 years as serious human pathogens: SARS‐CoV was identified as the causative agent in an outbreak in 2002–2003, Middle East respiratory syndrome (MERS) CoV emerged in 2012 and the novel coronavirus SARS‐CoV‐2 emerged in 2019–2020. SARS‐CoV‐2 is the virus responsible for the infectious disease termed COVID‐19 (WHO Technical Guidance 2020).
Further reading on Tubulins
Alexander SPH et al. (2020) A rational roadmap for SARS‐CoV‐2/COVID‐19 pharmacotherapeutic research and development: IUPHAR Review 29. Br J Pharmacol, 177 (21): 4942‐4966. [PMID:32358833]
Cannalire R et al. (2020) Targeting SARS‐CoV‐2 Proteases and Polymerase for COVID‐19 Treatment: State of the Art and Future Opportunities. J Med Chem, [Epub ahead of print]. [PMID:33186044]
Cui J et al. (2019) Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol, 17 (3): 181‐192. [PMID:30531947]
Desforges M et al. (2019) Human Coronaviruses and Other Respiratory Viruses: Underestimated Opportunistic Pathogens of the Central Nervous System?. Viruses, 12 (1). [PMID:31861926]
Song Z et al. (2019) From SARS to MERS, Thrusting Coronaviruses into the Spotlight. Viruses, 11 (1). [PMID:30646565]
Zumla A et al. (2016) Coronaviruses ‐ drug discovery and therapeutic options. Nat Rev Drug Discov, 15(5): 327‐47. [PMID:26868298]
Overview
The virus particle has four structural proteins. The envelope, membrane and spike proteins are on the viral surface, while the polybasic nucleoprotein enables the tight coiling of the viral RNA.
The viral RNA encodes two overlapping polyproteins which are cleaved autocatalytically by intrinsic proteases (see below).
Comment
The component proteins are non‐structural and are involved in the transcription and replication of viral proteins and RNA.
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