Unit

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

  1. Shoshana Brown1,
  2. Patricia Babbitt1,2,3

Published Online: 12 DEC 2014

DOI: 10.1002/0471250953.bi0210s48

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Brown, S. and Babbitt, P. 2014. Using the Structure-Function Linkage Database to Characterize Functional Domains in Enzymes. Curr. Protoc. Bioinform. 48:2.10.1-2.10.16. doi: 10.1002/0471250953.bi0210s48

Author Information

  1. 1

    Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California

  2. 2

    Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, California

  3. 3

    California Institute for Quantitative Biosciences, University of California, San Francisco, California

Publication History

  1. Published Online: 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 uncharacterized enzymes and to correct misannotated functional assignments. The information in this unit 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. © 2014 by John Wiley & Sons, Inc.

Keywords:

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