Literature DB >> 9570087

Ligand binding affinity prediction by linear interaction energy methods.

T Hansson1, J Marelius, J Aqvist.   

Abstract

A recent method for estimating ligand binding affinities is extended. This method employs averages of interaction potential energy terms from molecular dynamics simulations or other thermal conformational sampling techniques. Incorporation of systematic deviations from electrostatic linear response, derived from free energy perturbation studies, into the absolute binding free energy expression significantly enhances the accuracy of the approach. This type of method may be useful for computational prediction of ligand binding strengths, e.g., in drug design applications.

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Year:  1998        PMID: 9570087     DOI: 10.1023/a:1007930623000

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  28 in total

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Authors:  T Hansson; J Aqvist
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Journal:  Proteins       Date:  1996-04

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4.  A method for fast energy estimation and visualization of protein-ligand interaction.

Authors:  N Tomioka; A Itai; Y Iitaka
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

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Journal:  Protein Eng       Date:  1989-10

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Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

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Authors:  K P Murphy; D Xie; K S Thompson; L M Amzel; E Freire
Journal:  Proteins       Date:  1994-01

8.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

9.  Effect of conformational flexibility and solvation on receptor-ligand binding free energies.

Authors:  S Vajda; Z Weng; R Rosenfeld; C DeLisi
Journal:  Biochemistry       Date:  1994-11-29       Impact factor: 3.162

10.  Structure-activity relationships in engineered proteins: analysis of use of binding energy by linear free energy relationships.

Authors:  A R Fersht; R J Leatherbarrow; T N Wells
Journal:  Biochemistry       Date:  1987-09-22       Impact factor: 3.162

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  106 in total

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2.  A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

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Journal:  Eur Biophys J       Date:  2010-05-30       Impact factor: 1.733

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8.  Probing the effect of point mutations at protein-protein interfaces with free energy calculations.

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9.  Validation of the 53A6 GROMOS force field.

Authors:  Chris Oostenbrink; Thereza A Soares; Nico F A van der Vegt; Wilfred F van Gunsteren
Journal:  Eur Biophys J       Date:  2005-04-01       Impact factor: 1.733

10.  Molecular dynamics of a protein surface: ion-residues interactions.

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Journal:  Biophys J       Date:  2005-05-13       Impact factor: 4.033

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