Skip to content
naulon
Not checkedNot checked for notices yet.

Design of peptides interfering with iron-dependent regulator (IdeR) and evaluation of Mycobacterium tuberculosis growth inhibition

Himen Salimizand, Saeid Amel Jamehdar, Leila Babaei Nik and 1 more

Iranian Journal of Basic Medical Sciences · 2017

doi:10.22038/ijbms.2017.8859 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Objective(s): Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis (Mtb), stayed a global health thread with high mortality rate. Since TB has a long-term treatment, it leads high risk of drug resistant development, and there is an urgent to find new drugs. The aim of this study was designing new inhibitors for a new drug target, iron dependent regulator, IdeR. Materials and Methods: Based on the interaction most populated amino acids of IdeR to the related gene operators, 50 short peptides were modeled. Bonding affinity of short peptides toward DNA were studied by docking. Top 10 best predicted bonding affinity were selected. DNA binding assay, microplate alamar blue assay, colony counting, quantitative real time- PCR (qRT-PCR) of IdeR corresponding genes, cell wall-associated mycobactin and whole-cell iron estimation were done to prove the predicted mechanism of in silico potent constructs. Results: Amongst the 10 synthesized short peptide candidates, glycine-valine-proline-glycine (GVPG) and arginine-proline-arginine (RPR) inhibited Mtb in vitro at 200 µM concentration. qRT-PCR showed mbtB 58-fold over expression that resulted in Mtb growth inhibition. Cell wall-associated mycobactin and whole-cell iron estimation confirmed the results of qRT-PCR. Conclusion: We introduced two new lead compounds to inhibit Mtb that are promising for the development of more potent anti-tubercular therapies.

Abstract licence: CC BY-NC

References17

  1. 3.

16 more references, whose wording the paper’s licence keeps private.

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.