Machine Learnable Fold Space Representation based on Residue Cluster Classes.

Journal: Computational biology and chemistry
Published Date: Jul 30, 2015

Abstract

MOTIVATION: Protein fold space is a conceptual framework where all possible protein folds exist and ideas about protein structure, function and evolution may be analyzed. Classification of protein folds in this space is commonly achieved by using similarity indexes and/or machine learning approaches, each with different limitations.

Authors

  • Ricardo Corral-Corral
    Department of Biochemistry and Structural Biology, Instituto de Fisiologa Celular, Universidad Nacional Autónoma de México, México D. F., México.
  • Edgar Chavez
    Centro de Investigación Científica y de Educación Superior de Ensenada, México.
  • Gabriel Del Rio
    Department of Biochemistry and Structural Biology, Instituto de Fisiologa Celular, Universidad Nacional Autónoma de México, México D. F., México. Electronic address: gdelrio@ifc.unam.mx.

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