Literature DB >> 15634014

HIV-reverse transcriptase inhibition: inclusion of ligand-induced fit by cross-docking studies.

Rino Ragno1, Simona Frasca, Fabrizio Manetti, Antonella Brizzi, Silvio Massa.   

Abstract

Nonnucleoside reverse transcriptase inhibitors (NNRTIs) have, in addition to the nucleoside reverse transcriptase inhibitors (NRTIs) and protease inhibitors (PIs), a definitive role in the treatment of HIV-1 infections. Since the appearance of HEPT and TIBO, more than 30 structurally different classes of compounds have been reported as NNRTIs, which are specific inhibitors of HIV-1 replication, targeting the HIV-1 reverse transcriptase (RT). Nevirapine and delavirdine are the first formally licensed for clinical use, and others have been licensed afterward, while several are in preclinical or clinical development. The NNRTIs interact with a specific site of HIV-1 RT (nonnucleoside binding site, NNBS) that is close to, but distinct from, the NRTI binding site. In this work we report the application of the Autodock program assessing its usability through reproduction of 41 NNRTI experimental bound conformations. Moreover, cross-docking experiments on the wild-type and mutated RT forms were conducted to take into account the enzyme flexibility as a valuable tool for structure-based drug design (SBDD) studies and to gain insight on the mode of action of new anti-HIV agents active against both wild-type and resistant strains.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15634014     DOI: 10.1021/jm0493921

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  13 in total

1.  Chemical space sampling by different scoring functions and crystal structures.

Authors:  Natasja Brooijmans; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2010-04-18       Impact factor: 3.686

2.  Assessment of programs for ligand binding affinity prediction.

Authors:  Ryangguk Kim; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2008-06       Impact factor: 3.376

3.  Molecular recognition in the case of flexible targets.

Authors:  Anthony Ivetac; J Andrew McCammon
Journal:  Curr Pharm Des       Date:  2011       Impact factor: 3.116

4.  Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches.

Authors:  Rino Ragno; Flavio Ballante; Adele Pirolli; Richard B Wickersham; Alexandros Patsilinakos; Stéphanie Hesse; Enrico Perspicace; Gilbert Kirsch
Journal:  J Comput Aided Mol Des       Date:  2015-07-21       Impact factor: 3.686

5.  Transcriptomic and genomic studies classify NKL54 as a histone deacetylase inhibitor with indirect influence on MEF2-dependent transcription.

Authors:  Martina Minisini; Eros Di Giorgio; Emanuela Kerschbamer; Emiliano Dalla; Massimo Faggiani; Elisa Franforte; Franz-Josef Meyer-Almes; Rino Ragno; Lorenzo Antonini; Antonello Mai; Francesco Fiorentino; Dante Rotili; Monica Chinellato; Stefano Perin; Laura Cendron; Christian X Weichenberger; Alessandro Angelini; Claudio Brancolini
Journal:  Nucleic Acids Res       Date:  2022-03-21       Impact factor: 16.971

6.  Ligand similarity guided receptor selection enhances docking accuracy and recall for non-nucleoside HIV reverse transcriptase inhibitors.

Authors:  Richard A Stanton; James H Nettles; Raymond F Schinazi
Journal:  J Mol Model       Date:  2015-10-08       Impact factor: 1.810

7.  Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling.

Authors:  Tianyi Qiu; Dingfeng Wu; Jingxuan Qiu; Zhiwei Cao
Journal:  J Cheminform       Date:  2018-04-12       Impact factor: 5.514

8.  Proteochemometric modeling of the bioactivity spectra of HIV-1 protease inhibitors by introducing protein-ligand interaction fingerprint.

Authors:  Qi Huang; Haixiao Jin; Qi Liu; Qiong Wu; Hong Kang; Zhiwei Cao; Ruixin Zhu
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

9.  Hsp90 inhibitors, part 2: combining ligand-based and structure-based approaches for virtual screening application.

Authors:  Antonia Caroli; Flavio Ballante; Richard B Wickersham; Federico Corelli; Rino Ragno
Journal:  J Chem Inf Model       Date:  2014-03-04       Impact factor: 4.956

Review 10.  Computational drug design strategies applied to the modelling of human immunodeficiency virus-1 reverse transcriptase inhibitors.

Authors:  Lucianna Helene Santos; Rafaela Salgado Ferreira; Ernesto Raúl Caffarena
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-11       Impact factor: 2.743

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.