title: An overview of in silico protein function prediction.
abstract: As the protein databases continue to expand at an exponential rate, fed by daily uploads from multiple large scale genomic and metagenomic projects, the problem of assigning a function to each new protein has become the focus of significant research interest in recent times. Herein, we review the most recent advances in the field of automated function prediction (AFP). We begin by defining what is meant by biological "function" and the means of describing such functions using standardised machine readable ontologies. We then focus on the various function-prediction programs available, both sequence and structure based, and outline their associated strengths and weaknesses. Finally, we conclude with a brief overview of the future challenges and outstanding questions in the field, which still remain unanswered.
authors.affiliation: Department of Biological Sciences, Cork Institute of Technology, Rossa Avenue, Bishopstown, Cork, Ireland. roy.sleator@cit.ie
authors.forename: Roy D
authors.initials: RD
authors.lastname: Sleator
authors.forename: Paul
authors.initials: P
authors.lastname: Walsh
mesh_terms: D000818:Animals; D030562:Databases, Protein; D006801:Humans; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein; D013329:Structure-Activity Relationship
chemical_list: D011506:Proteins