Literature DB >> 16497327

Mapping the energetics of water-protein and water-ligand interactions with the "natural" HINT forcefield: predictive tools for characterizing the roles of water in biomolecules.

Alessio Amadasi1, Francesca Spyrakis, Pietro Cozzini, Donald J Abraham, Glen E Kellogg, Andrea Mozzarelli.   

Abstract

The energetics and hydrogen bonding pattern of water molecules bound to proteins were mapped by analyzing structural data (resolution better than 2.3A) for sets of uncomplexed and ligand-complexed proteins. Water-protein and water-ligand interactions were evaluated using hydropatic interactions (HINT), a non-Newtonian forcefield based on experimentally determined logP(octanol/water) values. Potential water hydrogen bonding ability was assessed by a new Rank algorithm. The HINT-derived binding energies and Ranks for second shell water molecules were -0.04 kcal mol(-1) and 0.0, respectively, for first shell water molecules -0.38 kcal mol(-1) and 1.6, for active site water molecules -0.45 kcal mol(-1) and 2.3, for cavity water molecules -0.55 kcal mol(-1) and 3.3, and for buried water molecules -0.56 kcal mol(-1) and 4.4. For the last four classes, similar energies indicate that internal and external water molecules interact with protein almost equally, despite different degrees of hydrogen bonding. The binding energies and Ranks for water molecules bridging ligand-protein were -1.13 kcal mol(-1) and 4.5, respectively. This energetic contribution is shared equally between protein and ligand, whereas Rank favors the protein. Lastly, by comparing the uncomplexed and complexed forms of proteins, guidelines were developed for prediction of the roles played by active site water molecules in ligand binding. A water molecule with high Rank and HINT score is unlikely to make further interactions with the ligand and is largely irrelevant to the binding process, while a water molecule with moderate Rank and high HINT score is available for ligand interaction. Water molecule displaced for steric reasons were characterized by lower Rank and HINT score. These guidelines, tested by calculating HINT score and Rank for 50 water molecules bound in the active site of four uncomplexed proteins (for which the structures of the liganded forms were also available), correctly predicted the ultimate roles (in the complex) for 76% of water molecules. Some failures were likely due to ambiguities in the structural data.

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Year:  2006        PMID: 16497327     DOI: 10.1016/j.jmb.2006.01.053

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  22 in total

1.  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

2.  Minimizing frustration by folding in an aqueous environment.

Authors:  Carla Mattos; A Clay Clark
Journal:  Arch Biochem Biophys       Date:  2007-07-14       Impact factor: 4.013

3.  Computational design of an endo-1,4-beta-xylanase ligand binding site.

Authors:  Andrew Morin; Kristian W Kaufmann; Carie Fortenberry; Joel M Harp; Laura S Mizoue; Jens Meiler
Journal:  Protein Eng Des Sel       Date:  2011-02-24       Impact factor: 1.650

4.  Systematic placement of structural water molecules for improved scoring of protein-ligand interactions.

Authors:  David J Huggins; Bruce Tidor
Journal:  Protein Eng Des Sel       Date:  2011-07-19       Impact factor: 1.650

5.  In Silico Studies Targeting G-protein Coupled Receptors for Drug Research Against Parkinson's Disease.

Authors:  Agostinho Lemos; Rita Melo; Antonio Jose Preto; Jose Guilherme Almeida; Irina Sousa Moreira; Maria Natalia Dias Soeiro Cordeiro
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

6.  Predicting Displaceable Water Sites Using Mixed-Solvent Molecular Dynamics.

Authors:  Sarah E Graham; Richard D Smith; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2018-01-16       Impact factor: 4.956

7.  Predicting the molecular interactions of CRIP1a-cannabinoid 1 receptor with integrated molecular modeling approaches.

Authors:  Mostafa H Ahmed; Glen E Kellogg; Dana E Selley; Martin K Safo; Yan Zhang
Journal:  Bioorg Med Chem Lett       Date:  2014-01-08       Impact factor: 2.823

8.  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 9.  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

10.  Tyrosine nitration of IkappaBalpha: a novel mechanism for NF-kappaB activation.

Authors:  Vasily A Yakovlev; Igor J Barani; Christopher S Rabender; Stephen M Black; J Kevin Leach; Paul R Graves; Glen E Kellogg; Ross B Mikkelsen
Journal:  Biochemistry       Date:  2007-10-02       Impact factor: 3.162

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