Format

Send to

Choose Destination
See comment in PubMed Commons below
Brief Bioinform. 2009 Jul;10(4):378-91. doi: 10.1093/bib/bbp017. Epub 2009 Mar 26.

FINDSITE: a combined evolution/structure-based approach to protein function prediction.

Author information

1
Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology 250 14th St NW, Atlanta, GA 30318, USA. skolnick@gatech.edu

Abstract

A key challenge of the post-genomic era is the identification of the function(s) of all the molecules in a given organism. Here, we review the status of sequence and structure-based approaches to protein function inference and ligand screening that can provide functional insights for a significant fraction of the approximately 50% of ORFs of unassigned function in an average proteome. We then describe FINDSITE, a recently developed algorithm for ligand binding site prediction, ligand screening and molecular function prediction, which is based on binding site conservation across evolutionary distant proteins identified by threading. Importantly, FINDSITE gives comparable results when high-resolution experimental structures as well as predicted protein models are used.

PMID:
19324930
PMCID:
PMC2691936
DOI:
10.1093/bib/bbp017
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Silverchair Information Systems Icon for PubMed Central
    Loading ...
    Support Center