Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery.
Every entirely sequenced genome reveals 100 s to 1000 s of protein sequences for which the only annotation available is 'hypothetical protein'. Thus, in the human genome and in the genomes of pathogenic agents there could be 1000 s of potential, unexplored drug targets. Computational prediction of protein function can play a role in studying these targets. We shall review the challenges, research approaches and recently developed tools in the field of computational function-prediction and we will discuss the ways these issues can change the process of drug discovery.
Ofran
Yanay
Y
CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. ofran@cubic.bioc.columbia.edu
Punta
Marco
M
Schneider
Reinhard
R
Rost
Burkhard
B
D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D015195:Drug Design; D019143:Evolution, Molecular; D016678:Genome; D011506:Proteins / Q000502:physiology*; D017385:Sequence Homology
D011506:Proteins