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Template-based prediction of protein function.
Petrey, Donald; Chen, T Scott; Deng, Lei; Garzon, Jose Ignacio; Hwang, Howook; Lasso, Gorka; Lee, Hunjoong; Silkov, Antonina; Honig, Barry.
Afiliação
  • Petrey D; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States. Electronic address: dsp18@columbia.edu.
  • Chen TS; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Deng L; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Garzon JI; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Hwang H; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Lasso G; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Lee H; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Silkov A; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
  • Honig B; Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Department of Systems Biology, Center for Computational Biology and Bioinformatics, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, United States.
Curr Opin Struct Biol ; 32: 33-8, 2015 Jun.
Article em En | MEDLINE | ID: mdl-25678152
ABSTRACT
We discuss recent approaches for structure-based protein function annotation. We focus on template-based methods where the function of a query protein is deduced from that of a template for which both the structure and function are known. We describe the different ways of identifying a template. These are typically based on sequence analysis but new methods based on purely structural similarity are also being developed that allow function annotation based on structural relationships that cannot be recognized by sequence. The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide scale and in many different biological contexts. This progress significantly expands the range of applicability of structural information in function annotation to a level that previously was only achievable by sequence comparison.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Curr Opin Struct Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Curr Opin Struct Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2015 Tipo de documento: Article