"Getting it right" refers to the careful modeling of all elements in the living system, i.e. biological macromolecules, ligands and water molecules. In addition, careful attention should be paid to the protonation state of ionizable functional groups on the ligands and residues at the active site. Computational technology based on the empirical HINT program is described to: (1) calculate free energy scores for ligand binding; (2) include the implicit and explicit effects of water in and around the ligand binding site; and (3) incorporate the effects of global and local pH in molecular models. This last point argues for the simultaneous consideration of a number of molecular models, each with different protonation profiles. Data from recent studies of protein-ligand systems (trypsin, thrombin, neuraminidase, HIV-1 protease and others) are used to illustrate the concepts in the paper. Also discussed are experimental factors related to accurate free energy predictions with this and other computational technologies. (C) 2004 Elsevier Inc. All rights reserved.

Getting it right. Modeling of pH, Solvent and “Nearly” Everything Else in Virtual Screening of Biological Targets / G. E., Kellogg; M., Fornabaio; Spyrakis, Francesca; Lodola, Alessio; Cozzini, Pietro; Mozzarelli, Andrea; D. J., Abraham. - In: JOURNAL OF MOLECULAR GRAPHICS & MODELLING. - ISSN 1093-3263. - 22:6(2004), pp. 479-486. [10.1016/j.jmgm.2004.03.008]

Getting it right. Modeling of pH, Solvent and “Nearly” Everything Else in Virtual Screening of Biological Targets

SPYRAKIS, Francesca;LODOLA, Alessio;COZZINI, Pietro;MOZZARELLI, Andrea;
2004-01-01

Abstract

"Getting it right" refers to the careful modeling of all elements in the living system, i.e. biological macromolecules, ligands and water molecules. In addition, careful attention should be paid to the protonation state of ionizable functional groups on the ligands and residues at the active site. Computational technology based on the empirical HINT program is described to: (1) calculate free energy scores for ligand binding; (2) include the implicit and explicit effects of water in and around the ligand binding site; and (3) incorporate the effects of global and local pH in molecular models. This last point argues for the simultaneous consideration of a number of molecular models, each with different protonation profiles. Data from recent studies of protein-ligand systems (trypsin, thrombin, neuraminidase, HIV-1 protease and others) are used to illustrate the concepts in the paper. Also discussed are experimental factors related to accurate free energy predictions with this and other computational technologies. (C) 2004 Elsevier Inc. All rights reserved.
2004
Getting it right. Modeling of pH, Solvent and “Nearly” Everything Else in Virtual Screening of Biological Targets / G. E., Kellogg; M., Fornabaio; Spyrakis, Francesca; Lodola, Alessio; Cozzini, Pietro; Mozzarelli, Andrea; D. J., Abraham. - In: JOURNAL OF MOLECULAR GRAPHICS & MODELLING. - ISSN 1093-3263. - 22:6(2004), pp. 479-486. [10.1016/j.jmgm.2004.03.008]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/1630074
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