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supfam.cs.bris.ac.uk
SUPERFAMILY database of structural and functional protein annotations for all completely sequenced organisms
SUPERFAMILY is a database of structural and functional annotation for all proteins and genomes. The SUPERFAMILY annotation is based on a collection of hidden Markov models. Which represent structural protein domains at the SCOP. Superfamily level. A superfamily groups together domains which have an evolutionary relationship. The annotation is produced by scanning protein sequences from over 2,478 completely sequenced genomes. Against the hidden Markov models. Submit sequences for SCOP classification.
supfam.mbu.iisc.ernet.in
SUPFAM database
Evolutionary relationships between structure and sequence families. How to use the site. This database consists of clusters of potentially related homologous protein domain families, with and without three-dimensional structural information, forming superfamilies. The present release (Release 6.0) of SUPFAM uses homologous families in Pfam (Version 27.0) and SCOP (version 1.75) which are examples of sequence -alignment and structure classification databases respectively. New Features of SUPFAM web-site.
supfam.org
SUPERFAMILY database of structural and functional protein annotations for all completely sequenced organisms
SUPERFAMILY is a database of structural and functional annotation for all proteins and genomes. The SUPERFAMILY annotation is based on a collection of hidden Markov models. Which represent structural protein domains at the SCOP. Superfamily level. A superfamily groups together domains which have an evolutionary relationship. The annotation is produced by scanning protein sequences from over 2,478 completely sequenced genomes. Against the hidden Markov models. Submit sequences for SCOP classification.
supfam2.cs.bris.ac.uk
SUPERFAMILY database of structural and functional protein annotations for all completely sequenced organisms
SUPERFAMILY is currently undergoing maintenence. We will be back very soon, please check again later. Please cite: Gough, J., Karplus, K., Hughey, R. and Chothia, C. (2001). "Assignment of Homology to Genome Sequences using a Library of Hidden Markov Models that Represent all Proteins of Known Structure.". Please send feedback, comments or questions to superfamily@cs.bris.ac.uk.
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