Literature DB >> 23993915

Fragment-based error estimation in biomolecular modeling.

John C Faver1, Kenneth M Merz2.   

Abstract

Computer simulations are becoming an increasingly more important component of drug discovery. Computational models are now often able to reproduce and sometimes even predict outcomes of experiments. Still, potential energy models such as force fields contain significant amounts of bias and imprecision. We have shown how even small uncertainties in potential energy models can propagate to yield large errors, and have devised some general error-handling protocols for biomolecular modeling with imprecise energy functions. Herein we discuss those protocols within the contexts of protein-ligand binding and protein folding.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23993915      PMCID: PMC3947206          DOI: 10.1016/j.drudis.2013.08.016

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  19 in total

1.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

Review 2.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

3.  Non-additivity of functional group contributions in protein-ligand binding: a comprehensive study by crystallography and isothermal titration calorimetry.

Authors:  Bernhard Baum; Laveena Muley; Michael Smolinski; Andreas Heine; David Hangauer; Gerhard Klebe
Journal:  J Mol Biol       Date:  2010-02-12       Impact factor: 5.469

Review 4.  Additivity principles in biochemistry.

Authors:  K A Dill
Journal:  J Biol Chem       Date:  1997-01-10       Impact factor: 5.157

5.  Principles that govern the folding of protein chains.

Authors:  C B Anfinsen
Journal:  Science       Date:  1973-07-20       Impact factor: 47.728

6.  Formal Estimation of Errors in Computed Absolute Interaction Energies of Protein-ligand Complexes.

Authors:  John C Faver; Mark L Benson; Xiao He; Benjamin P Roberts; Bing Wang; Michael S Marshall; Matthew R Kennedy; C David Sherrill; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2011-03-08       Impact factor: 6.006

7.  Decomposition of the free energy of a system in terms of specific interactions. Implications for theoretical and experimental studies.

Authors:  A E Mark; W F van Gunsteren
Journal:  J Mol Biol       Date:  1994-07-08       Impact factor: 5.469

8.  The Effects of Computational Modeling Errors on the Estimation of Statistical Mechanical Variables.

Authors:  John C Faver; Wei Yang; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2012-03-12       Impact factor: 6.006

9.  Limits of Free Energy Computation for Protein-Ligand Interactions.

Authors:  Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010       Impact factor: 6.006

10.  Refinement of protein structure homology models via long, all-atom molecular dynamics simulations.

Authors:  Alpan Raval; Stefano Piana; Michael P Eastwood; Ron O Dror; David E Shaw
Journal:  Proteins       Date:  2012-05-15
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  2 in total

Review 1.  Role of substrate dynamics in protein prenylation reactions.

Authors:  Dhruva K Chakravorty; Kenneth M Merz
Journal:  Acc Chem Res       Date:  2014-12-24       Impact factor: 22.384

2.  Using quantum mechanical approaches to study biological systems.

Authors:  Kenneth M Merz
Journal:  Acc Chem Res       Date:  2014-06-06       Impact factor: 22.384

  2 in total

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