Literature DB >> 21116484

The Binding Energy Distribution Analysis Method (BEDAM) for the Estimation of Protein-Ligand Binding Affinities.

Emilio Gallicchio1, Mauro Lapelosa, Ronald M Levy.   

Abstract

The Binding Energy Distribution Analysis Method (BEDAM) for the computation of receptor-ligand standard binding free energies with implicit solvation is presented. The method is based on a well established statistical mechanics theory of molecular association. It is shown that, in the context of implicit solvation, the theory is homologous to the test particle method of solvation thermodynamics with the solute-solvent potential represented by the effective binding energy of the protein-ligand complex. Accordingly, in BEDAM the binding constant is computed by means of a weighted integral of the probability distribution of the binding energy obtained in the canonical ensemble in which the ligand is positioned in the binding site but the receptor and the ligand interact only with the solvent continuum. It is shown that the binding energy distribution encodes all of the physical effects of binding. The balance between binding enthalpy and entropy is seen in our formalism as a balance between favorable and unfavorable binding modes which are coupled through the normalization of the binding energy distribution function. An efficient computational protocol for the binding energy distribution based on the AGBNP2 implicit solvent model, parallel Hamiltonian replica exchange sampling and histogram reweighting is developed. Applications of the method to a set of known binders and non-binders of the L99A and L99A/M102Q mutants of T4 lysozyme receptor are illustrated. The method is able to discriminate without error binders from non-binders, and the computed standard binding free energies of the binders are found to be in good agreement with experimental measurements. Analysis of the results reveals that the binding affinities of these systems reflect the contributions from multiple conformations spanning a wide range of binding energies.

Entities:  

Year:  2010        PMID: 21116484      PMCID: PMC2992355          DOI: 10.1021/ct1002913

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  69 in total

Review 1.  Molecular recognition and docking algorithms.

Authors:  Natasja Brooijmans; Irwin D Kuntz
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-01-28

2.  Free energy surfaces of beta-hairpin and alpha-helical peptides generated by replica exchange molecular dynamics with the AGBNP implicit solvent model.

Authors:  Anthony K Felts; Yuichi Harano; Emilio Gallicchio; Ronald M Levy
Journal:  Proteins       Date:  2004-08-01

3.  Free energy, entropy, and induced fit in host-guest recognition: calculations with the second-generation mining minima algorithm.

Authors:  Chia-En Chang; Michael K Gilson
Journal:  J Am Chem Soc       Date:  2004-10-13       Impact factor: 15.419

4.  Linear Interaction Energy (LIE) Models for Ligand Binding in Implicit Solvent:  Theory and Application to the Binding of NNRTIs to HIV-1 Reverse Transcriptase.

Authors:  Yang Su; Emilio Gallicchio; Kalyan Das; Eddy Arnold; Ronald M Levy
Journal:  J Chem Theory Comput       Date:  2007-01       Impact factor: 6.006

5.  Temperature weighted histogram analysis method, replica exchange, and transition paths.

Authors:  Emilio Gallicchio; Michael Andrec; Anthony K Felts; Ronald M Levy
Journal:  J Phys Chem B       Date:  2005-04-14       Impact factor: 2.991

6.  Thermodynamic and structural effects of conformational constraints in protein-ligand interactions. Entropic paradoxy associated with ligand preorganization.

Authors:  John E DeLorbe; John H Clements; Martin G Teresk; Aaron P Benfield; Hilary R Plake; Laura E Millspaugh; Stephen F Martin
Journal:  J Am Chem Soc       Date:  2009-11-25       Impact factor: 15.419

7.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

8.  Specificity of ligand binding in a buried nonpolar cavity of T4 lysozyme: linkage of dynamics and structural plasticity.

Authors:  A Morton; B W Matthews
Journal:  Biochemistry       Date:  1995-07-11       Impact factor: 3.162

9.  Energetic origins of specificity of ligand binding in an interior nonpolar cavity of T4 lysozyme.

Authors:  A Morton; W A Baase; B W Matthews
Journal:  Biochemistry       Date:  1995-07-11       Impact factor: 3.162

Review 10.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

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  71 in total

1.  Let's get honest about sampling.

Authors:  David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2011-11-24       Impact factor: 3.686

2.  On achieving high accuracy and reliability in the calculation of relative protein-ligand binding affinities.

Authors:  Lingle Wang; B J Berne; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

3.  Theory of binless multi-state free energy estimation with applications to protein-ligand binding.

Authors:  Zhiqiang Tan; Emilio Gallicchio; Mauro Lapelosa; Ronald M Levy
Journal:  J Chem Phys       Date:  2012-04-14       Impact factor: 3.488

4.  Locating binding poses in protein-ligand systems using reconnaissance metadynamics.

Authors:  Pär Söderhjelm; Gareth A Tribello; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-21       Impact factor: 11.205

5.  Recollection.

Authors:  Ronald M Levy
Journal:  Protein Sci       Date:  2015-12-09       Impact factor: 6.725

6.  Locally weighted histogram analysis and stochastic solution for large-scale multi-state free energy estimation.

Authors:  Zhiqiang Tan; Junchao Xia; Bin W Zhang; Ronald M Levy
Journal:  J Chem Phys       Date:  2016-01-21       Impact factor: 3.488

7.  BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge.

Authors:  Emilio Gallicchio; Haoyuan Chen; He Chen; Michael Fitzgerald; Yang Gao; Peng He; Malathi Kalyanikar; Chuan Kao; Beidi Lu; Yijie Niu; Manasi Pethe; Jie Zhu; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2015-03-01       Impact factor: 3.686

8.  Absolute Binding Free Energies between T4 Lysozyme and 141 Small Molecules: Calculations Based on Multiple Rigid Receptor Configurations.

Authors:  Bing Xie; Trung Hai Nguyen; David D L Minh
Journal:  J Chem Theory Comput       Date:  2017-05-01       Impact factor: 6.006

9.  A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge.

Authors:  Rajat Kumar Pal; Kamran Haider; Divya Kaur; William Flynn; Junchao Xia; Ronald M Levy; Tetiana Taran; Lauren Wickstrom; Tom Kurtzman; Emilio Gallicchio
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

10.  Large scale free energy calculations for blind predictions of protein-ligand binding: the D3R Grand Challenge 2015.

Authors:  Nanjie Deng; William F Flynn; Junchao Xia; R S K Vijayan; Baofeng Zhang; Peng He; Ahmet Mentes; Emilio Gallicchio; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2016-08-25       Impact factor: 3.686

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