Literature DB >> 18351616

Empirical entropic contributions in computational docking: evaluation in APS reductase complexes.

Max W Chang1, Richard K Belew, Kate S Carroll, Arthur J Olson, David S Goodsell.   

Abstract

The results from reiterated docking experiments may be used to evaluate an empirical vibrational entropy of binding in ligand-protein complexes. We have tested several methods for evaluating the vibrational contribution to binding of 22 nucleotide analogues to the enzyme APS reductase. These include two cluster size methods that measure the probability of finding a particular conformation, a method that estimates the extent of the local energetic well by looking at the scatter of conformations within clustered results, and an RMSD-based method that uses the overall scatter and clustering of all conformations. We have also directly characterized the local energy landscape by randomly sampling around docked conformations. The simple cluster size method shows the best performance, improving the identification of correct conformations in multiple docking experiments. 2008 Wiley Periodicals, Inc.

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Year:  2008        PMID: 18351616      PMCID: PMC3052286          DOI: 10.1002/jcc.20936

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  10 in total

1.  Evaluating conformational free energies: the colony energy and its application to the problem of loop prediction.

Authors:  Zhexin Xiang; Cinque S Soto; Barry Honig
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-28       Impact factor: 11.205

2.  Novel statistical-thermodynamic methods to predict protein-ligand binding positions using probability distribution functions.

Authors:  A M Ruvinsky; A V Kozintsev
Journal:  Proteins       Date:  2006-01-01

3.  New and fast statistical-thermodynamic method for computation of protein-ligand binding entropy substantially improves docking accuracy.

Authors:  A M Ruvinsky; A V Kozintsev
Journal:  J Comput Chem       Date:  2005-08       Impact factor: 3.376

4.  A comparative study on the application of hierarchical-agglomerative clustering approaches to organize outputs of reiterated docking runs.

Authors:  Giovanni Bottegoni; Andrea Cavalli; Maurizio Recanatini
Journal:  J Chem Inf Model       Date:  2006 Mar-Apr       Impact factor: 4.956

5.  A semiempirical free energy force field with charge-based desolvation.

Authors:  Ruth Huey; Garrett M Morris; Arthur J Olson; David S Goodsell
Journal:  J Comput Chem       Date:  2007-04-30       Impact factor: 3.376

6.  Ligand configurational entropy and protein binding.

Authors:  Chia-en A Chang; Wei Chen; Michael K Gilson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

7.  Role of binding entropy in the refinement of protein-ligand docking predictions: analysis based on the use of 11 scoring functions.

Authors:  Anatoly M Ruvinsky
Journal:  J Comput Chem       Date:  2007-06       Impact factor: 3.376

8.  Substrate recognition, protein dynamics, and iron-sulfur cluster in Pseudomonas aeruginosa adenosine 5'-phosphosulfate reductase.

Authors:  Justin Chartron; Kate S Carroll; Carrie Shiau; Hong Gao; Julie A Leary; Carolyn R Bertozzi; C David Stout
Journal:  J Mol Biol       Date:  2006-09-01       Impact factor: 5.469

9.  Automated docking of ligands to an artificial active site: augmenting crystallographic analysis with computer modeling.

Authors:  Robin J Rosenfeld; David S Goodsell; Rabi A Musah; Garrett M Morris; David B Goodin; Arthur J Olson
Journal:  J Comput Aided Mol Des       Date:  2003-08       Impact factor: 3.686

10.  A conserved mechanism for sulfonucleotide reduction.

Authors:  Kate S Carroll; Hong Gao; Huiyi Chen; C David Stout; Julie A Leary; Carolyn R Bertozzi
Journal:  PLoS Biol       Date:  2005-07-19       Impact factor: 8.029

  10 in total
  12 in total

1.  A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

Authors:  Stefano Forli; Arthur J Olson
Journal:  J Med Chem       Date:  2012-01-13       Impact factor: 7.446

2.  AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

Authors:  Oleg Trott; Arthur J Olson
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

Review 3.  Efficient incorporation of protein flexibility and dynamics into molecular docking simulations.

Authors:  Markus A Lill
Journal:  Biochemistry       Date:  2011-06-22       Impact factor: 3.162

4.  Functional Site Discovery in a Sulfur Metabolism Enzyme by Using Directed Evolution.

Authors:  Hanumantharao Paritala; Prakash B Palde; Kate S Carroll
Journal:  Chembiochem       Date:  2016-08-12       Impact factor: 3.164

5.  Integrative computational protocol for the discovery of inhibitors of the Helicobacter pylori nickel response regulator (NikR).

Authors:  Aldo Segura-Cabrera; Xianwu Guo; Arturo Rojo-Domínguez; Mario A Rodríguez-Pérez
Journal:  J Mol Model       Date:  2011-03-01       Impact factor: 1.810

6.  Virtual Screening with AutoDock: Theory and Practice.

Authors:  Sandro Cosconati; Stefano Forli; Alex L Perryman; Rodney Harris; David S Goodsell; Arthur J Olson
Journal:  Expert Opin Drug Discov       Date:  2010-06-01       Impact factor: 6.098

7.  Inclusion of solvation and entropy in the knowledge-based scoring function for protein-ligand interactions.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2010-02-22       Impact factor: 4.956

8.  Structure-based virtual screening and biological evaluation of Mycobacterium tuberculosis adenosine 5'-phosphosulfate reductase inhibitors.

Authors:  Sandro Cosconati; Jiyoung A Hong; Ettore Novellino; Kate S Carroll; David S Goodsell; Arthur J Olson
Journal:  J Med Chem       Date:  2008-10-15       Impact factor: 7.446

9.  Docking challenge: protein sampling and molecular docking performance.

Authors:  Khaled M Elokely; Robert J Doerksen
Journal:  J Chem Inf Model       Date:  2013-04-15       Impact factor: 4.956

10.  Configurational entropy in protein-peptide binding: computational study of Tsg101 ubiquitin E2 variant domain with an HIV-derived PTAP nonapeptide.

Authors:  Benjamin J Killian; Joslyn Yudenfreund Kravitz; Sandeep Somani; Paramita Dasgupta; Yuan-Ping Pang; Michael K Gilson
Journal:  J Mol Biol       Date:  2009-04-09       Impact factor: 5.469

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