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Title | Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery. |
Publication Type | Journal Article |
Year of Publication | 2005 |
Authors | Ofran, Y, Punta, M, Schneider, R, Rost, B |
Journal | Drug Discov Today |
Volume | 10 |
Issue | 21 |
Pagination | 1475-82 |
Date Published | 2005 Nov 1 |
ISSN | 1359-6446 |
Keywords | Computational Biology, Databases, Protein, Drug Design, Evolution, Molecular, Genome, Proteins, Sequence Homology |
Abstract | 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. |
DOI | 10.1016/S1359-6446(05)03621-4 |
Alternate Journal | Drug Discov. Today |
PubMed ID | 16243268 |
Grant List | R01-GM64633-01 / GM / NIGMS NIH HHS / United States R01-LM07329-01 / LM / NLM NIH HHS / United States |