Literature DB >> 18384529

Novel method for probing the specificity binding profile of ligands: applications to HIV protease.

Woody Sherman1, Bruce Tidor1.   

Abstract

A detailed understanding of factors influencing the binding specificity of a ligand to a set of desirable targets and undesirable decoys is a key step in the design of potent and selective therapeutics. We have developed a general method for optimizing binding specificity in ligand-receptor complexes based on the theory of electrostatic charge optimization. This methodology can be used to tune the binding of a ligand to a panel of potential targets and decoys, along the continuum from narrow binding to only one partner to broad binding to the entire panel. Using HIV-1 protease as a model system, we probe specificity in three distinct ways. First, we probe interactions that could make the promiscuous protease inhibitor pepstatin more selective toward HIV-1 protease. Next, we study clinically approved HIV-1 protease inhibitors and probe ways to broaden the binding profiles toward both wild-type HIV-1 protease and drug-resistant mutants. Finally, we study a conformational ensemble of wild-type HIV-1 protease to 'design in' broad specificity to known drugs before resistance mutations arise. The results from this conformational ensemble were similar to those from the drug-resistant ensemble, suggesting the use of a conformational wild-type ensemble as a tool to develop escape-mutant-resistant inhibitors.

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Year:  2008        PMID: 18384529      PMCID: PMC3480184          DOI: 10.1111/j.1747-0285.2008.00659.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  59 in total

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Authors:  Cristian Obiol-Pardo; Jaime Rubio-Martinez
Journal:  J Chem Inf Model       Date:  2007 Jan-Feb       Impact factor: 4.956

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Journal:  J Biol Chem       Date:  1988-10-15       Impact factor: 5.157

7.  Crystal structures of native and inhibited forms of human cathepsin D: implications for lysosomal targeting and drug design.

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Journal:  Proc Natl Acad Sci U S A       Date:  1993-07-15       Impact factor: 11.205

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Journal:  Proteins       Date:  1988

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Journal:  J Biol Chem       Date:  1989-02-05       Impact factor: 5.157

10.  Predicting molecular interactions and inducible complementarity: fragment docking of Fab-peptide complexes.

Authors:  A R Friedman; V A Roberts; J A Tainer
Journal:  Proteins       Date:  1994-09
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  10 in total

1.  Structural basis for drug and substrate specificity exhibited by FIV encoding a chimeric FIV/HIV protease.

Authors:  Ying Chuan Lin; Alexander L Perryman; Arthur J Olson; Bruce E Torbett; John H Elder; C David Stout
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-05-12

2.  A comparative study of HIV-1 and HTLV-I protease structure and dynamics reveals a conserved residue interaction network.

Authors:  Pia Rücker; Anselm H C Horn; Heike Meiselbach; Heinrich Sticht
Journal:  J Mol Model       Date:  2011-01-29       Impact factor: 1.810

3.  Prediction of HIV-1 protease/inhibitor affinity using RosettaLigand.

Authors:  Gordon Lemmon; Kristian Kaufmann; Jens Meiler
Journal:  Chem Biol Drug Des       Date:  2012-03-19       Impact factor: 2.817

4.  Charge Optimization Theory for Induced-Fit Ligands.

Authors:  Yang Shen; Michael K Gilson; Bruce Tidor
Journal:  J Chem Theory Comput       Date:  2012-06-17       Impact factor: 6.006

5.  Molecular Basis for Drug Resistance in HIV-1 Protease.

Authors:  Akbar Ali; Rajintha M Bandaranayake; Yufeng Cai; Nancy M King; Madhavi Kolli; Seema Mittal; Jennifer F Murzycki; Madhavi N L Nalam; Ellen A Nalivaika; Ayşegül Özen; Moses M Prabu-Jeyabalan; Kelly Thayer; Celia A Schiffer
Journal:  Viruses       Date:  2010-11-12       Impact factor: 5.818

Review 6.  Rational approaches to improving selectivity in drug design.

Authors:  David J Huggins; Woody Sherman; Bruce Tidor
Journal:  J Med Chem       Date:  2012-01-12       Impact factor: 7.446

7.  In silico prediction of mutant HIV-1 proteases cleaving a target sequence.

Authors:  Jan H Jensen; Martin Willemoës; Jakob R Winther; Luca De Vico
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

8.  Herpes B virus gD interaction with its human receptor--an in silico analysis approach.

Authors:  Lingke Li; Zhengliang Qiu; Yan Li; Feng Liang; Huahu Ye; Yongqin Cai; Wanfeng Guo; Yan Li; Junjie Yue
Journal:  Theor Biol Med Model       Date:  2014-06-06       Impact factor: 2.432

9.  Molecular mechanisms and design principles for promiscuous inhibitors to avoid drug resistance: lessons learned from HIV-1 protease inhibition.

Authors:  Yang Shen; Mala L Radhakrishnan; Bruce Tidor
Journal:  Proteins       Date:  2015-02

10.  Reduction of anoxia-induced bioenergetic disturbance in astrocytes by methanol fruit extract of Tetrapleura tetraptera and in silico evaluation of the effect of its antioxidative constituents on excitotoxicity.

Authors:  Ibrahim Olabayode Saliu; Reshma Bhagat; Olubukola Benedicta Ojo; Afolabi C Akinmoladun; M Tolulope Olaleye; Pankaj Seth; Velayudhan Rema
Journal:  Toxicol Rep       Date:  2021-01-26
  10 in total

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