Literature DB >> 20467461

Limits of Free Energy Computation for Protein-Ligand Interactions.

Kenneth M Merz1.   

Abstract

A detailed error analysis is presented for the computation of protein-ligand interaction energies. In particular, we show that it is probable that even highly accurate computed binding free energies have errors that represent a large percentage of the target free energies of binding. This is due to the observation that the error for computed energies quasi-linearly increases with the increasing number of interactions present in a protein-ligand complex. This principle is expected to hold true for any system that involves an ever increasing number of inter or intra-molecular interactions (e.g. ab initio protein folding). We introduce the concept of best-case scenario errors (BCS(errors)) that can be routinely applied to docking and scoring exercises and used to provide errors bars for the computed binding free energies. These BCS(errors) form a basis by which one can evaluate the outcome of a docking and scoring exercise. Moreover, the resultant error analysis enables the formation of an hypothesis that defines the best direction to proceed in order to improve scoring functions used in molecular docking studies.

Entities:  

Year:  2010        PMID: 20467461      PMCID: PMC2866028          DOI: 10.1021/ct100102q

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


  42 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

Review 2.  Calculation of protein-ligand binding affinities.

Authors:  Michael K Gilson; Huan-Xiang Zhou
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

3.  Parallelized-over-parts computation of absolute binding free energy with docking and molecular dynamics.

Authors:  Guha Jayachandran; Michael R Shirts; Sanghyun Park; Vijay S Pande
Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

4.  Contribution of conformer focusing to the uncertainty in predicting free energies for protein-ligand binding.

Authors:  Julian Tirado-Rives; William L Jorgensen
Journal:  J Med Chem       Date:  2006-10-05       Impact factor: 7.446

5.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

6.  A blind challenge for computational solvation free energies: introduction and overview.

Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

7.  Further analysis and comparative study of intermolecular interactions using dimers from the S22 database.

Authors:  Laszlo Fusti Molnar; Xiao He; Bing Wang; Kenneth M Merz
Journal:  J Chem Phys       Date:  2009-08-14       Impact factor: 3.488

Review 8.  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

9.  L-735,524: the design of a potent and orally bioavailable HIV protease inhibitor.

Authors:  B D Dorsey; R B Levin; S L McDaniel; J P Vacca; J P Guare; P L Darke; J A Zugay; E A Emini; W A Schleif; J C Quintero
Journal:  J Med Chem       Date:  1994-10-14       Impact factor: 7.446

Review 10.  Theory of free energy and entropy in noncovalent binding.

Authors:  Huan-Xiang Zhou; Michael K Gilson
Journal:  Chem Rev       Date:  2009-09       Impact factor: 60.622

View more
  24 in total

1.  Predicting flexible loop regions that interact with ligands: the challenge of accurate scoring.

Authors:  Matthew L Danielson; Markus A Lill
Journal:  Proteins       Date:  2011-11-09

2.  Let's get honest about sampling.

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

3.  Model for the fast estimation of basis set superposition error in biomolecular systems.

Authors:  John C Faver; Zheng Zheng; Kenneth M Merz
Journal:  J Chem Phys       Date:  2011-10-14       Impact factor: 3.488

Review 4.  Fragment-based error estimation in biomolecular modeling.

Authors:  John C Faver; Kenneth M Merz
Journal:  Drug Discov Today       Date:  2013-08-27       Impact factor: 7.851

5.  Prediction of SAMPL3 host-guest binding affinities: evaluating the accuracy of generalized force-fields.

Authors:  Hari S Muddana; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-01-25       Impact factor: 3.686

6.  Experimental versus predicted affinities for ligand binding to estrogen receptor: iterative selection and rescoring of docked poses systematically improves the correlation.

Authors:  James S Wright; James M Anderson; Hooman Shadnia; Tony Durst; John A Katzenellenbogen
Journal:  J Comput Aided Mol Des       Date:  2013-08-24       Impact factor: 3.686

7.  Transferable scoring function based on semiempirical quantum mechanical PM6-DH2 method: CDK2 with 15 structurally diverse inhibitors.

Authors:  Petr Dobeš; Jindřich Fanfrlík; Jan Rezáč; Michal Otyepka; Pavel Hobza
Journal:  J Comput Aided Mol Des       Date:  2011-02-01       Impact factor: 3.686

Review 8.  Application of NMR and molecular docking in structure-based drug discovery.

Authors:  Jaime L Stark; Robert Powers
Journal:  Top Curr Chem       Date:  2012

9.  Absolute hydration free energies of blocked amino acids: implications for protein solvation and stability.

Authors:  Gerhard König; Stefan Bruckner; Stefan Boresch
Journal:  Biophys J       Date:  2013-01-22       Impact factor: 4.033

10.  Ligand Identification Scoring Algorithm (LISA).

Authors:  Zheng Zheng; Kenneth M Merz
Journal:  J Chem Inf Model       Date:  2011-05-25       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.