Literature DB >> 9575185

Molecular recognition of cyclic urea HIV-1 protease inhibitors.

P J Ala1, R J DeLoskey, E E Huston, P K Jadhav, P Y Lam, C J Eyermann, C N Hodge, M C Schadt, F A Lewandowski, P C Weber, D D McCabe, J L Duke, C H Chang.   

Abstract

As long as the threat of human immunodeficiency virus (HIV) protease drug resistance still exists, there will be a need for more potent antiretroviral agents. We have therefore determined the crystal structures of HIV-1 protease in complex with six cyclic urea inhibitors: XK216, XK263, DMP323, DMP450, XV638, and SD146, in an attempt to identify 1) the key interactions responsible for their high potency and 2) new interactions that might improve their therapeutic benefit. The structures reveal that the preorganized, C2 symmetric scaffolds of the inhibitors are anchored in the active site of the protease by six hydrogen bonds and that their P1 and P2 substituents participate in extensive van der Waals interactions and hydrogen bonds. Because all of our inhibitors possess benzyl groups at P1 and P1', their relative binding affinities are modulated by the extent of their P2 interactions, e.g. XK216, the least potent inhibitor (Ki (inhibition constant) = 4.70 nM), possesses the smallest P2 and the lowest number of P2-S2 interactions; whereas SD146, the most potent inhibitor (Ki = 0.02 nM), contains a benzimidazolylbenzamide at P2 and participates in fourteen hydrogen bonds and approximately 200 van der Waals interactions. This analysis identifies the strongest interactions between the protease and the inhibitors, suggests ways to improve potency by building into the S2 subsite, and reveals how conformational changes and unique features of the viral protease increase the binding affinity of HIV protease inhibitors.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9575185     DOI: 10.1074/jbc.273.20.12325

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  12 in total

1.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

Authors:  H M Vinkers; M R de Jonge; E D Daeyaert; J Heeres; L M H Koymans; J H van Lenthe; P J Lewi; H Timmerman; P A J Janssen
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

2.  Protein-ligand docking with multiple flexible side chains.

Authors:  Yong Zhao; Michel F Sanner
Journal:  J Comput Aided Mol Des       Date:  2007-11-22       Impact factor: 3.686

3.  Can cyclic HIV protease inhibitors bind in a non-preferred form? An ab initio, DFT and MM-PB(GB)SA study.

Authors:  Daniel P Oehme; Robert T C Brownlee; David J D Wilson
Journal:  J Mol Model       Date:  2012-11-13       Impact factor: 1.810

4.  Reproducing crystal binding modes of ligand functional groups using Site-Identification by Ligand Competitive Saturation (SILCS) simulations.

Authors:  E Prabhu Raman; Wenbo Yu; Olgun Guvench; Alexander D Mackerell
Journal:  J Chem Inf Model       Date:  2011-04-01       Impact factor: 4.956

5.  Identifying binding hot spots on protein surfaces by mixed-solvent molecular dynamics: HIV-1 protease as a test case.

Authors:  Peter M U Ung; Phani Ghanakota; Sarah E Graham; Katrina W Lexa; Heather A Carlson
Journal:  Biopolymers       Date:  2016-01       Impact factor: 2.505

6.  Crystal structures of a multidrug-resistant human immunodeficiency virus type 1 protease reveal an expanded active-site cavity.

Authors:  Bradley C Logsdon; John F Vickrey; Philip Martin; Gheorghe Proteasa; Jay I Koepke; Stanley R Terlecky; Zdzislaw Wawrzak; Mark A Winters; Thomas C Merigan; Ladislau C Kovari
Journal:  J Virol       Date:  2004-03       Impact factor: 5.103

7.  Strength of hydrogen bond network takes crucial roles in the dissociation process of inhibitors from the HIV-1 protease binding pocket.

Authors:  Dechang Li; Baohua Ji; Keh-Chih Hwang; Yonggang Huang
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

Review 8.  HIV protease inhibitors: a review of molecular selectivity and toxicity.

Authors:  Zhengtong Lv; Yuan Chu; Yong Wang
Journal:  HIV AIDS (Auckl)       Date:  2015-04-08

9.  High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations.

Authors:  Noriaki Okimoto; Noriyuki Futatsugi; Hideyoshi Fuji; Atsushi Suenaga; Gentaro Morimoto; Ryoko Yanai; Yousuke Ohno; Tetsu Narumi; Makoto Taiji
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

10.  Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation.

Authors:  Izhar Wallach; Ryan H Lilien
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.