Literature DB >> 18027371

Complexity in modeling and understanding protonation states: computational titration of HIV-1-protease-inhibitor complexes.

Ashutosh Tripathi1, Micaela Fornabaio, Francesca Spyrakis, Andrea Mozzarelli, Pietro Cozzini, Glen E Kellogg.   

Abstract

The computational-titration (CT) algorithm based on the 'natural' Hydropathic INTeractions (HINT) force field is described. The HINT software model is an empirical, non-Newtonian force field derived from experimentally measured partition coefficients for solvent transfer between octanol and H(2)O (log P(o/w)). The CT algorithm allows the identification, modeling, and optimization of multiple protonation states of residues and ligand functional groups at the protein-ligand active site. The importance of taking into account pH and ionization states of residues, which strongly affect the process of ligand binding, for correctly predicting binding free energies is discussed. The application of the CT protocol to a set of six cyclic inhibitors in their complexes with HIV-1 protease is presented, and the advance of HINT as a virtual-screening tool is outlined.

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Year:  2007        PMID: 18027371     DOI: 10.1002/cbdv.200790210

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  3 in total

1.  Factors influencing protein tyrosine nitration--structure-based predictive models.

Authors:  Alexander S Bayden; Vasily A Yakovlev; Paul R Graves; Ross B Mikkelsen; Glen E Kellogg
Journal:  Free Radic Biol Med       Date:  2010-12-21       Impact factor: 7.376

2.  Molecular Docking: From Lock and Key to Combination Lock.

Authors:  Ashutosh Tripathi; Vytas A Bankaitis
Journal:  J Mol Med Clin Appl       Date:  2017-02-10

3.  Web application for studying the free energy of binding and protonation states of protein-ligand complexes based on HINT.

Authors:  Alexander S Bayden; Micaela Fornabaio; J Neel Scarsdale; Glen E Kellogg
Journal:  J Comput Aided Mol Des       Date:  2009-06-25       Impact factor: 3.686

  3 in total

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