Literature DB >> 19714771

Assessment of ligand binding residue predictions in CASP8.

Gonzalo López1, Iakes Ezkurdia, Michael L Tress.   

Abstract

Here we detail the assessment process for the binding site prediction category of the eighth Critical Assessment of Protein Structure Prediction experiment (CASP8). Predictions were only evaluated for those targets that bound biologically relevant ligands and were assessed using the Matthews Correlation Coefficient. The results of the analysis clearly demonstrate that three predictors from two groups (Lee and Sternberg) stand out from the rest. A further two groups perform well over subsets of metal binding or nonmetal ligand binding targets. The best methods were able to make consistently reliable predictions based on model structures, though it was noticeable that the two targets that were not well predicted were also the hardest targets. The number of predictors that submitted new methods in this category was highly encouraging and suggests that current technology is at the level that experimental biochemists and structural biologists could benefit from what is clearly a growing field. Copyright 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19714771      PMCID: PMC3204792          DOI: 10.1002/prot.22557

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  32 in total

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Journal:  Proteins       Date:  2005

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Authors:  Gonzalo López; Ana Rojas; Michael Tress; Alfonso Valencia
Journal:  Proteins       Date:  2007

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Journal:  J Mol Biol       Date:  2007-05-13       Impact factor: 5.469

5.  Prediction of protein functional residues from sequence by probability density estimation.

Authors:  J D Fischer; C E Mayer; J Söding
Journal:  Bioinformatics       Date:  2008-01-02       Impact factor: 6.937

6.  A method to predict functional residues in proteins.

Authors:  G Casari; C Sander; A Valencia
Journal:  Nat Struct Biol       Date:  1995-02

7.  SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions.

Authors:  R A Laskowski
Journal:  J Mol Graph       Date:  1995-10

8.  The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data.

Authors:  Helen Berman; Kim Henrick; Haruki Nakamura; John L Markley
Journal:  Nucleic Acids Res       Date:  2006-11-16       Impact factor: 16.971

9.  SITEHOUND-web: a server for ligand binding site identification in protein structures.

Authors:  Marylens Hernandez; Dario Ghersi; Roberto Sanchez
Journal:  Nucleic Acids Res       Date:  2009-04-26       Impact factor: 16.971

10.  The Protein Model Portal.

Authors:  Konstantin Arnold; Florian Kiefer; Jürgen Kopp; James N D Battey; Michael Podvinec; John D Westbrook; Helen M Berman; Lorenza Bordoli; Torsten Schwede
Journal:  J Struct Funct Genomics       Date:  2008-11-27
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  20 in total

1.  Assessment of ligand binding site predictions in CASP10.

Authors:  Tiziano Gallo Cassarino; Lorenza Bordoli; Torsten Schwede
Journal:  Proteins       Date:  2014-02

2.  Assessment of ligand-binding residue predictions in CASP9.

Authors:  Tobias Schmidt; Jürgen Haas; Tiziano Gallo Cassarino; Torsten Schwede
Journal:  Proteins       Date:  2011-10-11

3.  GalaxySite: ligand-binding-site prediction by using molecular docking.

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Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

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Journal:  Curr Protein Pept Sci       Date:  2010-11       Impact factor: 3.272

5.  A protein sequence meta-functional signature for calcium binding residue prediction.

Authors:  Jeremy A Horst; Ram Samudrala
Journal:  Pattern Recognit Lett       Date:  2010-10-15       Impact factor: 3.756

6.  Proteins and Their Interacting Partners: An Introduction to Protein-Ligand Binding Site Prediction Methods with a Focus on FunFOLD3.

Authors:  Danielle Allison Brackenridge; Liam James McGuffin
Journal:  Methods Mol Biol       Date:  2021

7.  FINDSITEcomb2.0: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of Biomolecules.

Authors:  Hongyi Zhou; Hongnan Cao; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2018-10-16       Impact factor: 4.956

8.  3DLigandSite: predicting ligand-binding sites using similar structures.

Authors:  Mark N Wass; Lawrence A Kelley; Michael J E Sternberg
Journal:  Nucleic Acids Res       Date:  2010-05-31       Impact factor: 16.971

9.  Biological function derived from predicted structures in CASP11.

Authors:  Peter J Huwe; Qifang Xu; Maxim V Shapovalov; Vivek Modi; Mark D Andrake; Roland L Dunbrack
Journal:  Proteins       Date:  2016-06-15

10.  LISE: a server using ligand-interacting and site-enriched protein triangles for prediction of ligand-binding sites.

Authors:  Zhong-Ru Xie; Chuan-Kun Liu; Fang-Chih Hsiao; Adam Yao; Ming-Jing Hwang
Journal:  Nucleic Acids Res       Date:  2013-04-22       Impact factor: 16.971

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