CATH: an expanded resource to predict protein function through structure and sequence
نویسندگان
چکیده
منابع مشابه
CATH: an expanded resource to predict protein function through structure and sequence
The latest version of the CATH-Gene3D protein structure classification database has recently been released (version 4.1, http://www.cathdb.info). The resource comprises over 300 000 domain structures and over 53 million protein domains classified into 2737 homologous superfamilies, doubling the number of predicted protein domains in the previous version. The daily-updated CATH-B, which contains...
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* 1 CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168 Street BB217, New York, NY 10032, USA; 2 Columbia University Center for Computational Biology and Bioinformatics (C2B2), Russ Berrie Pavilion, 1150 St. Nicholas Avenue, New York, NY 10032, USA; 3 North East Structural Genomics Consortium (NESG), Department of Biochemistry and Molecular Biophysics, ...
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1 Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York, United States of America, 2 Columbia University Center for Computational Biology and Bioinformatics (C2B2), New York, New York, United States of America, 3 Northeast Structural Genomics Consortium (NESG), Columbia University, New York, New York, United States of America, 4 The Mina and Everard Goodma...
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CATH version 3.3 (class, architecture, topology, homology) contains 128,688 domains, 2386 homologous superfamilies and 1233 fold groups, and reflects a major focus on classifying structural genomics (SG) structures and transmembrane proteins, both of which are likely to add structural novelty to the database and therefore increase the coverage of protein fold space within CATH. For CATH version...
متن کاملSequence analysis Functional classification of CATH superfamilies: a domain-based approach for protein function annotation
Motivation: Computational approaches that can predict protein functions are essential to bridge the widening function annotation gap especially since <1.0% of all proteins in UniProtKB have been experimentally characterized. We present a domain-based method for protein function classification and prediction of functional sites that exploits functional sub-classification of CATH superfamilies. T...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2016
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkw1098