• DocumentCode
    2008288
  • Title

    Prediction of Inter-residue Contact Clusters from Hydrophobic Cores

  • Author

    Chen, Peng ; Liu, Chunmei ; Burge, Legand ; Mohammad, Mahmood ; Southerland, Bill ; Gloster, Clay

  • Author_Institution
    Dept. of Syst. & Comput. Sci., Howard Univ., Washington, DC, USA
  • fYear
    2008
  • fDate
    11-13 Dec. 2008
  • Firstpage
    703
  • Lastpage
    708
  • Abstract
    Motivation: Contact map is a key factor to represent a specific protein structure. As previous work reported, even a corrupted contact map can be used to reconstruct its corresponding protein structure. Thus we can predict the structure of a protein partially through the contact map prediction. To simplify the protein contact map prediction, we predict the inter-residue contact clusters centered at the groups of their neighboring contacts instead.Results: In this paper, we adopt a SVM predictor based approach to predict the inter-residue contact cluster centers. The input information 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 groups of their neighboring inter-residue contacts. As a result, about 35% clustering centers of inter-residue contacts can accurately be predicted.
  • Keywords
    support vector machines; contact map prediction; hydrophobic cores; inter-residue contact clusters; support vector machine; Accuracy; Application software; Biochemistry; Computer science; Contacts; Machine learning; Mathematics; Protein engineering; Sequences; Support vector machines; Contact Cluster; Hydrophobic Core; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-0-7695-3495-4
  • Type

    conf

  • DOI
    10.1109/ICMLA.2008.74
  • Filename
    4725052