Literature DB >> 16001428

Design of improved protein inhibitors of HIV-1 cell entry: Optimization of electrostatic interactions at the binding interface.

David F Green1, Bruce Tidor.   

Abstract

Continuum electrostatic methods are a powerful tool for the analysis and design of biomolecular complexes, with methodologies that allow for the detailed analysis of the electrostatic contributions to binding affinities and procedures for computing the properties of electrostatically optimal ligands. We have applied these methods to the design of improved inhibitors of HIV-1 cell entry. HIV infection of a cell requires viral-cell membrane fusion, an event partially driven by a large-scale conformational change in the viral membrane glycoprotein gp41. This transformation involves the docking of a helix from the C-terminal region of three gp41 chains against a pre-formed trimeric-coiled coil; several protein constructs that inhibit membrane fusion act by binding to an isolated C-terminal helix and blocking the formation of the fusogenic structure. A detailed analysis of the electrostatic contributions to the binding of one such inhibitor (5-Helix) to a C-terminal helix was performed using the X-ray crystal structure of the core of the HIV-1 gp41 ectodomain as a structural model, and several residues on 5-Helix that make substantial contributions to binding, both favorable and unfavorable, were identified. An electrostatic affinity optimization methodology was applied to the side chains of 5-Helix, with the results showing that significant improvements in binding affinity are possible if the electrostatic contributions to the binding free energy are optimized. Several mutations accessible by experimental methods are suggested, with calculated improvements in binding affinity of as much as 500-fold and greater. Copyright 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16001428     DOI: 10.1002/prot.20540

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  16 in total

1.  Self-complementarity within proteins: bridging the gap between binding and folding.

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Journal:  Biophys J       Date:  2012-06-05       Impact factor: 4.033

2.  Electrostatic properties of protein-protein complexes.

Authors:  Petras J Kundrotas; Emil Alexov
Journal:  Biophys J       Date:  2006-06-16       Impact factor: 4.033

3.  Computational methods for biomolecular electrostatics.

Authors:  Feng Dong; Brett Olsen; Nathan A Baker
Journal:  Methods Cell Biol       Date:  2008       Impact factor: 1.441

4.  Computational design and experimental study of tighter binding peptides to an inactivated mutant of HIV-1 protease.

Authors:  Michael D Altman; Ellen A Nalivaika; Moses Prabu-Jeyabalan; Celia A Schiffer; Bruce Tidor
Journal:  Proteins       Date:  2008-02-15

5.  A "Reverse-Schur" Approach to Optimization With Linear PDE Constraints: Application to Biomolecule Analysis and Design.

Authors:  Jaydeep P Bardhan; Michael D Altman; B Tidor; Jacob K White
Journal:  J Chem Theory Comput       Date:  2009       Impact factor: 6.006

6.  Carbohydrate recognition by the antiviral lectin cyanovirin-N.

Authors:  Yukiji K Fujimoto; David F Green
Journal:  J Am Chem Soc       Date:  2012-11-20       Impact factor: 15.419

7.  Electrostatic control of calcineurin's intrinsically-disordered regulatory domain binding to calmodulin.

Authors:  Bin Sun; Erik C Cook; Trevor P Creamer; Peter M Kekenes-Huskey
Journal:  Biochim Biophys Acta Gen Subj       Date:  2018-07-31       Impact factor: 3.770

8.  Accurate solution of multi-region continuum biomolecule electrostatic problems using the linearized Poisson-Boltzmann equation with curved boundary elements.

Authors:  Michael D Altman; Jaydeep P Bardhan; Jacob K White; Bruce Tidor
Journal:  J Comput Chem       Date:  2009-01-15       Impact factor: 3.376

9.  Analysis of fast boundary-integral approximations for modeling electrostatic contributions of molecular binding.

Authors:  Amelia B Kreienkamp; Lucy Y Liu; Mona S Minkara; Matthew G Knepley; Jaydeep P Bardhan; Mala L Radhakrishnan
Journal:  Mol Based Math Biol       Date:  2013-06

10.  Direct Calculation of Protein Fitness Landscapes through Computational Protein Design.

Authors:  Loretta Au; David F Green
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

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