Predicting protein function from sequence and structure.
While the number of sequenced genomes continues to grow, experimentally verified functional annotation of whole genomes remains patchy. Structural genomics projects are yielding many protein structures that have unknown function. Nevertheless, subsequent experimental investigation is costly and time-consuming, which makes computational methods for predicting protein function very attractive. There is an increasing number of noteworthy methods for predicting protein function from sequence and structural data alone, many of which are readily available to cell biologists who are aware of the strengths and pitfalls of each available technique.
Biomolecular Structure and Modelling Group, Department of Biochemistry and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK. dlee@biochem.ucl.ac.uk
David
D
Lee
Oliver
O
Redfern
Christine
C
Orengo
D000595:Amino Acid Sequence; D000818:Animals; D030562:Databases, Protein; D006801:Humans; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000502:physiology*; D013329:Structure-Activity Relationship
D011506:Proteins