Prediction of protease substrates using sequence and structure features.

Barkan, David T; Hostetter, Daniel R; Mahrus, Sami; Pieper, Ursula; Wells, James A; Craik, Charles S; Sali, Andrej

Barkan, David T; Hostetter, Daniel R; Mahrus, Sami; Pieper, Ursula; Wells, James A; Craik, Charles S; Sali, Andrej.

Affiliation

Barkan DT; Graduate Group in Bioinformatics, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.

Bioinformatics ; 26(14): 1714-22, 2010 Jul 15.

Article in En | MEDLINE | ID: mdl-20505003

Subject(s)

Computational Biology/methods; Peptide Hydrolases/chemistry; Sequence Analysis, Protein/methods; Caspases/chemistry; Ligands

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptide Hydrolases / Computational Biology / Sequence Analysis, Protein Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2010 Type: Article Affiliation country: United States

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