4.7 Review

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

Journal

BRIEFINGS IN BIOINFORMATICS
Volume 10, Issue 4, Pages 378-391

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbp017

Keywords

protein function prediction; ligand binding site prediction; virtual ligand screening; protein structure prediction; low-resolution protein structures

Funding

  1. National Institutes of Health [GM-48835, GM-37408]

Ask authors/readers for more resources

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 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available