Literature DB >> 15509178

Efficient evaluation of binding free energy using continuum electrostatics solvation.

Danzhi Huang1, Amedeo Caflisch.   

Abstract

The linear interaction energy (LIE) method is combined with energy minimization and finite-difference Poisson calculation of electrostatic solvation for the estimation of the absolute free energy of binding. A predictive accuracy of about 1.0 kcal/mol is obtained for 13 and 29 inhibitors of beta-secretase (BACE) and HIV-1 protease (HIV-1 PR), respectively. The multiplicative coefficients for the van der Waals and electrostatic terms are not transferable between BACE and HIV-1 PR although they are both aspartic proteases. The present approach is about 2 orders of magnitude faster than previous LIE methods and can be used for ranking large libraries of structurally diverse compounds docked by automatic computational tools.

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Year:  2004        PMID: 15509178     DOI: 10.1021/jm049726m

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


  19 in total

1.  A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

Authors:  Akash Khandelwal; Viera Lukacova; Dogan Comez; Daniel M Kroll; Soumyendu Raha; Stefan Balaz
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

2.  Processing multimode binding situations in simulation-based prediction of ligand-macromolecule affinities.

Authors:  Akash Khandelwal; Viera Lukacova; Daniel M Kroll; Soumyendu Raha; Dogan Comez; Stefan Balaz
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

3.  Improved estimation of ligand-macromolecule binding affinities by linear response approach using a combination of multi-mode MD simulation and QM/MM methods.

Authors:  Akash Khandelwal; Stefan Balaz
Journal:  J Comput Aided Mol Des       Date:  2007-02-28       Impact factor: 3.686

4.  The multiple roles of computational chemistry in fragment-based drug design.

Authors:  Richard Law; Oliver Barker; John J Barker; Thomas Hesterkamp; Robert Godemann; Ole Andersen; Tara Fryatt; Steve Courtney; Dave Hallett; Mark Whittaker
Journal:  J Comput Aided Mol Des       Date:  2009-06-17       Impact factor: 3.686

5.  Screening of benzamidine-based thrombin inhibitors via a linear interaction energy in continuum electrostatics model.

Authors:  Orazio Nicolotti; Ilenia Giangreco; Teresa Fabiola Miscioscia; Marino Convertino; Francesco Leonetti; Leonardo Pisani; Angelo Carotti
Journal:  J Comput Aided Mol Des       Date:  2010-02-11       Impact factor: 3.686

6.  Assessment of free energy predictors for ligand binding to a methyllysine histone code reader.

Authors:  Cen Gao; J Martin Herold; Dmitri Kireev
Journal:  J Comput Chem       Date:  2011-12-20       Impact factor: 3.376

7.  Evaluation of several two-step scoring functions based on linear interaction energy, effective ligand size, and empirical pair potentials for prediction of protein-ligand binding geometry and free energy.

Authors:  Obaidur Rahaman; Trilce P Estrada; Douglas J Doren; Michela Taufer; Charles L Brooks; Roger S Armen
Journal:  J Chem Inf Model       Date:  2011-06-06       Impact factor: 4.956

8.  Standard binding free energies from computer simulations: What is the best strategy?

Authors:  James C Gumbart; Benoît Roux; Christophe Chipot
Journal:  J Chem Theory Comput       Date:  2013-01-08       Impact factor: 6.006

9.  Quantum mechanics study of the hydroxyethylamines-BACE-1 active site interaction energies.

Authors:  Carlos Gueto-Tettay; Juan Carlos Drosos; Ricardo Vivas-Reyes
Journal:  J Comput Aided Mol Des       Date:  2011-06-21       Impact factor: 3.686

Review 10.  Implicit solvent methods for free energy estimation.

Authors:  Sergio Decherchi; Matteo Masetti; Ivan Vyalov; Walter Rocchia
Journal:  Eur J Med Chem       Date:  2014-08-25       Impact factor: 6.514

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