Literature DB >> 22527276

Probing the structure of Leishmania major DHFR TS and structure based virtual screening of peptide library for the identification of anti-leishmanial leads.

Rajalakshmi Rajasekaran1, Yi-Ping Phoebe Chen.   

Abstract

Leishmaniasis, a multi-faceted ethereal disease is considered to be one of the World's major communicable diseases that demands exhaustive research and control measures. The substantial data on these protozoan parasites has not been utilized completely to develop potential therapeutic strategies against Leishmaniasis. Dihydrofolate reductase thymidylate synthase (DHFR-TS) plays a major role in the infective state of the parasite and hence the DHFR-TS based drugs remains of much interest to researchers working on Leishmaniasis. Although, crystal structures of DHFR-TS from different species including Plasmodium falciparum and Trypanosoma cruzi are available, the experimentally determined structure of the Leishmania major DHFR-TS has not yet been reported in the Protein Data Bank. A high quality three dimensional structure of L.major DHFR-TS has been modeled through the homology modeling approach. Carefully refined and the energy minimized structure of the modeled protein was validated using a number of structure validation programs to confirm its structure quality. The modeled protein structure was used in the process of structure based virtual screening to figure out a potential lead structure against DHFR TS. The lead molecule identified has a binding affinity of 0.51 nM and clearly follows drug like properties.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22527276     DOI: 10.1007/s00894-012-1411-6

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


  32 in total

Review 1.  Structure-based virtual screening: an overview.

Authors:  Paul D Lyne
Journal:  Drug Discov Today       Date:  2002-10-15       Impact factor: 7.851

2.  Amino acid substitution matrices from protein blocks.

Authors:  S Henikoff; J G Henikoff
Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-15       Impact factor: 11.205

Review 3.  Automated protein structure homology modeling: a progress report.

Authors:  Jurgen Kopp; Torsten Schwede
Journal:  Pharmacogenomics       Date:  2004-06       Impact factor: 2.533

Review 4.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

Review 5.  Using bioinformatics techniques for gene identification in drug discovery and development.

Authors:  Yi-Ping Phoebe Chen; Feng Chen
Journal:  Curr Drug Metab       Date:  2008-07       Impact factor: 3.731

6.  Protein clefts in molecular recognition and function.

Authors:  R A Laskowski; N M Luscombe; M B Swindells; J M Thornton
Journal:  Protein Sci       Date:  1996-12       Impact factor: 6.725

7.  Identification of novel parasitic cysteine protease inhibitors using virtual screening. 1. The ChemBridge database.

Authors:  Prashant V Desai; Akshay Patny; Yogesh Sabnis; Babu Tekwani; Jiri Gut; Philip Rosenthal; Anuradha Srivastava; Mitchell Avery
Journal:  J Med Chem       Date:  2004-12-16       Impact factor: 7.446

8.  Structure-based approach to pharmacophore identification, in silico screening, and three-dimensional quantitative structure-activity relationship studies for inhibitors of Trypanosoma cruzi dihydrofolate reductase function.

Authors:  N Schormann; O Senkovich; K Walker; D L Wright; A C Anderson; A Rosowsky; S Ananthan; B Shinkre; S Velu; D Chattopadhyay
Journal:  Proteins       Date:  2008-12

9.  Homology modeling and atomic level binding study of Leishmania MAPK with inhibitors.

Authors:  Mahendra Awale; Vivek Kumar; Parameswaran Saravanan; C Gopi Mohan
Journal:  J Mol Model       Date:  2009-08-02       Impact factor: 1.810

10.  Dihydrofolate reductase: a potential drug target in trypanosomes and leishmania.

Authors:  F Zuccotto; A C Martin; R A Laskowski; J M Thornton; I H Gilbert
Journal:  J Comput Aided Mol Des       Date:  1998-05       Impact factor: 3.686

View more
  2 in total

Review 1.  Development of Novel Anti-Leishmanials: The Case for Structure-Based Approaches.

Authors:  Mohini Soni; J Venkatesh Pratap
Journal:  Pathogens       Date:  2022-08-22

2.  Computational analysis of siRNA recognition by the Ago2 PAZ domain and identification of the determinants of RNA-induced gene silencing.

Authors:  Mahmoud Kandeel; Yukio Kitade
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.