Literature DB >> 20697760

Structure-based in-silico rational design of a selective peptide inhibitor for thymidine monophosphate kinase of mycobacterium tuberculosis.

Manoj Kumar1, Sujata Sharma, Alagiri Srinivasan, Tej P Singh, Punit Kaur.   

Abstract

Tuberculosis still remains one of the most deadly infectious diseases. The emergence of drug resistant strains has fuelled the quest for novel drugs and drug targets for its successful treatment. Thymidine monophosphate kinase (TMPK) lies at the point where the salvage and de novo synthetic pathways meet in nucleotide synthesis. TMPK in M.tb has emerged as an attractive drug target since blocking it will affect both the pathways involved in the thymidine triphosphate synthesis. Moreover, the unique differences at the active site of TMPK enzyme in M.tb and humans can be exploited for the development of ideal drug candidates. Based on a detailed evaluation of known inhibitors and available three-dimensional structures of TMPK, several peptidic inhibitors were designed. In silico docking and selectivity analysis of these inhibitors with TMPK from M.tb and human was carried out to examine their differential binding at the active site. The designed tripeptide, Trp-Pro-Asp, was found to be most selective for M.tb. The ADMET analysis of this peptide indicated that it is likely to be a drug candidate. The tripeptide so designed is a suitable lead molecule for the development of novel TMPK inhibitors as anti-tubercular drugs.

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Year:  2010        PMID: 20697760     DOI: 10.1007/s00894-010-0821-6

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  35 in total

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5.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

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