Unit

UNIT 2.10 Using the Structure-Function Linkage Database to Characterize Functional Domains in Enzymes

  1. Shoshana Brown,
  2. Patricia Babbitt

Published Online: 1 MAR 2006

DOI: 10.1002/0471250953.bi0210s13

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Brown, S. and Babbitt, P. 2006. Using the Structure-Function Linkage Database to Characterize Functional Domains in Enzymes. Current Protocols in Bioinformatics. 13:2.10:2.10.1–2.10.16.

Author Information

  1. University of California, San Francisco, San Francisco, California

Publication History

  1. Published Online: 1 MAR 2006
  2. Published Print: FEB 2006

This is not the most recent version of the article. View current version (12 DEC 2014)

Abstract

The Structure-Function Linkage Database (SFLD; http://sfld.rbvi.ucsf.edu/) is a Web-accessible database designed to link enzyme sequence, structure, and functional information. This unit describes the protocols by which a user may query the database to predict the function of newly sequenced enzymes and to correct misannotated functional assignments for enzymes currently in public databases. It is especially useful in helping a user discriminate functional capabilities of a sequence that is only distantly related to characterized sequences in publicly available databases.

Keywords:

  • superfamily analysis;
  • sequence analysis;
  • structure-function relationships;
  • function prediction;
  • annotation transfer