title: Using the structure-function linkage database to characterize functional domains in enzymes.
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.
authors.affiliation: Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California.
authors.forename: Shoshana
authors.initials: S
authors.lastname: Brown
authors.affiliation: Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California.|Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, California.|California Institute for Quantitative Biosciences, University of California, San Francisco, California.
authors.forename: Patricia
authors.initials: P
authors.lastname: Babbitt
mesh_terms: D000595:Amino Acid Sequence; D030562:Databases, Protein; D004798:Enzymes / Q000737:chemistry / Q000378:metabolism*; D020407:Internet; D008969:Molecular Sequence Data; D017386:Sequence Homology, Amino Acid; D013329:Structure-Activity Relationship; D014584:User-Computer Interface
chemical_list: D004798:Enzymes
keywords: annotation transfer; protein function prediction; protein sequence analysis; protein superfamily analysis; structure-function relationships