Literature DB >> 12036355

Simple, intuitive calculations of free energy of binding for protein-ligand complexes. 1. Models without explicit constrained water.

Pietro Cozzini1, Micaela Fornabaio, Anna Marabotti, Donald J Abraham, Glen E Kellogg, Andrea Mozzarelli.   

Abstract

The prediction of the binding affinity between a protein and ligands is one of the most challenging issues for computational biochemistry and drug discovery. While the enthalpic contribution to binding is routinely available with molecular mechanics methods, the entropic contribution is more difficult to estimate. We describe and apply a relatively simple and intuitive calculation procedure for estimating the free energy of binding for 53 protein-ligand complexes formed by 17 proteins of known three-dimensional structure and characterized by different active site polarity. HINT, a software model based on experimental LogP(o/w) values for small organic molecules, was used to evaluate and score all atom-atom hydropathic interactions between the protein and the ligands. These total scores (H(TOTAL)), which have been previously shown to correlate with DeltaG(interaction) for protein-protein interactions, correlate with DeltaG(binding) for protein-ligand complexes in the present study with a standard error of +/-2.6 kcal mol(-1) from the equation DeltaG(binding) = -0.001 95 H(TOTAL) - 5.543. A more sophisticated model, utilizing categorized (by interaction class) HINT scores, produces a superior standard error of +/-1.8 kcal mol(-1). It is shown that within families of ligands for the same protein binding site, better models can be obtained with standard errors approaching +/-1.0 kcal mol(-1). Standardized methods for preparing crystallographic models for hydropathic analysis are also described. Particular attention is paid to the relationship between the ionization state of the ligands and the pH conditions under which the binding measurements are made. Sources and potential remedies of experimental and modeling errors affecting prediction of DeltaG(binding) are discussed.

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Year:  2002        PMID: 12036355     DOI: 10.1021/jm0200299

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


  38 in total

1.  Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

Authors:  Derek J Cashman; J Neel Scarsdale; Glen E Kellogg
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

2.  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

3.  Inhibition of hendra virus fusion.

Authors:  M Porotto; L Doctor; P Carta; M Fornabaio; O Greengard; G E Kellogg; A Moscona
Journal:  J Virol       Date:  2006-10       Impact factor: 5.103

4.  Paramyxovirus receptor-binding molecules: engagement of one site on the hemagglutinin-neuraminidase protein modulates activity at the second site.

Authors:  Matteo Porotto; Micaela Fornabaio; Olga Greengard; Matthew T Murrell; Glen E Kellogg; Anne Moscona
Journal:  J Virol       Date:  2006-02       Impact factor: 5.103

5.  A second receptor binding site on human parainfluenza virus type 3 hemagglutinin-neuraminidase contributes to activation of the fusion mechanism.

Authors:  Matteo Porotto; Micaela Fornabaio; Glen E Kellogg; Anne Moscona
Journal:  J Virol       Date:  2007-01-17       Impact factor: 5.103

Review 6.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

7.  Premature activation of the paramyxovirus fusion protein before target cell attachment with corruption of the viral fusion machinery.

Authors:  Shohreh F Farzan; Laura M Palermo; Christine C Yokoyama; Gianmarco Orefice; Micaela Fornabaio; Aurijit Sarkar; Glen E Kellogg; Olga Greengard; Matteo Porotto; Anne Moscona
Journal:  J Biol Chem       Date:  2011-07-28       Impact factor: 5.157

8.  MedusaScore: an accurate force field-based scoring function for virtual drug screening.

Authors:  Shuangye Yin; Lada Biedermannova; Jiri Vondrasek; Nikolay V Dokholyan
Journal:  J Chem Inf Model       Date:  2008-08-02       Impact factor: 4.956

9.  Design of O-acetylserine sulfhydrylase inhibitors by mimicking nature.

Authors:  Enea Salsi; Alexander S Bayden; Francesca Spyrakis; Alessio Amadasi; Barbara Campanini; Stefano Bettati; Tetyana Dodatko; Pietro Cozzini; Glen E Kellogg; Paul F Cook; Steven L Roderick; Andrea Mozzarelli
Journal:  J Med Chem       Date:  2010-01-14       Impact factor: 7.446

Review 10.  Hydrophobicity--shake flasks, protein folding and drug discovery.

Authors:  Aurijit Sarkar; Glen E Kellogg
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

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