Literature DB >> 20802820

Prediction of inter-residue contact clusters from hydrophobic cores.

Peng Chen1, Chunmei Liu, Legand Burge, Mohammad Mahmood, William Southerland, Clay Gloster.   

Abstract

A contact map is a key factor representing a specific protein structure. To simplify the protein contact map prediction, we predict the inter-residue contact clusters centered at the groups of their surrounding inter-residue contacts. In this paper, we adopt a Support Vector Machine (SVM)-based approach to predict the inter-residue contact cluster centers. The input of the SVM predictor includes sequence profile, evolutionary rate and predicted secondary structure. The SVM predictor is based on hydrophobic cores that may be considered as locations of the inter-residue contact clusters. About 35% of clustering centers of inter-residue contacts can be predicted accurately.

Entities:  

Year:  2008        PMID: 20802820      PMCID: PMC2929137          DOI: 10.1109/ICMLA.2008.74

Source DB:  PubMed          Journal:  Int J Data Min Bioinform        ISSN: 1748-5673            Impact factor:   0.667


  29 in total

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2.  Exploring local and non-local interactions for protein stability by structural motif engineering.

Authors:  M Niggemann; B Steipe
Journal:  J Mol Biol       Date:  2000-02-11       Impact factor: 5.469

3.  Prediction of contact maps with neural networks and correlated mutations.

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Journal:  Protein Eng       Date:  2001-11

Review 4.  Inter-residue interactions in protein folding and stability.

Authors:  M Michael Gromiha; S Selvaraj
Journal:  Prog Biophys Mol Biol       Date:  2004-10       Impact factor: 3.667

5.  The ConSurf-HSSP database: the mapping of evolutionary conservation among homologs onto PDB structures.

Authors:  Fabian Glaser; Yossi Rosenberg; Amit Kessel; Tal Pupko; Nir Ben-Tal
Journal:  Proteins       Date:  2005-02-15

6.  Evolution and similarity evaluation of protein structures in contact map space.

Authors:  Nitin Gupta; Nitin Mangal; Somenath Biswas
Journal:  Proteins       Date:  2005-05-01

7.  Predicting protein interaction sites from residue spatial sequence profile and evolution rate.

Authors:  Bing Wang; Peng Chen; De-Shuang Huang; Jing-jing Li; Tat-Ming Lok; Michael R Lyu
Journal:  FEBS Lett       Date:  2005-12-19       Impact factor: 4.124

8.  Prediction of distant residue contacts with the use of evolutionary information.

Authors:  Spyridon Vicatos; Boojala V B Reddy; Yiannis Kaznessis
Journal:  Proteins       Date:  2005-03-01

9.  AAindex: Amino Acid Index Database.

Authors:  S Kawashima; H Ogata; M Kanehisa
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

10.  The CATH Domain Structure Database and related resources Gene3D and DHS provide comprehensive domain family information for genome analysis.

Authors:  Frances Pearl; Annabel Todd; Ian Sillitoe; Mark Dibley; Oliver Redfern; Tony Lewis; Christopher Bennett; Russell Marsden; Alistair Grant; David Lee; Adrian Akpor; Michael Maibaum; Andrew Harrison; Timothy Dallman; Gabrielle Reeves; Ilhem Diboun; Sarah Addou; Stefano Lise; Caroline Johnston; Antonio Sillero; Janet Thornton; Christine Orengo
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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  1 in total

1.  Predicting residue-residue contacts and helix-helix interactions in transmembrane proteins using an integrative feature-based random forest approach.

Authors:  Xiao-Feng Wang; Zhen Chen; Chuan Wang; Ren-Xiang Yan; Ziding Zhang; Jiangning Song
Journal:  PLoS One       Date:  2011-10-28       Impact factor: 3.240

  1 in total

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