Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery.

by: Y Ofran, M Punta, R Schneider, B Rost

Drug Discov Today, Vol. 10, No. 21. (1 November 2005), pp. 1475-1482.

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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.

@article{citeulike:402263, 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.}, address = {CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. ofran@cubic.bioc.columbia.edu}, author = {Ofran, Y. and Punta, M. and Schneider, R. and Rost, B. }, citeulike-article-id = {402263}, doi = {http://dx.doi.org/10.1016/S1359-6446(05)03621-4}, issn = {1359-6446}, journal = {Drug Discov Today}, keywords = {bioinformatics, protein\_function, review}, month = {November}, number = {21}, pages = {1475--1482}, posted-at = {2006-01-13 23:55:53}, priority = {2}, title = {Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery.}, url = {http://dx.doi.org/10.1016/S1359-6446(05)03621-4}, volume = {10}, year = {2005} }

RIS record

TY - JOUR ID - citeulike:402263 L3 - citeulike-article-id:402263 TI - Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery. JF - Drug Discov Today VL - 10 IS - 21 SP - 1475 EP - 1482 AD - CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. ofran@cubic.bioc.columbia.edu SN - 1359-6446 N2 - 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. KW - bioinformatics KW - protein_function KW - review AU - Ofran, Y AU - Punta, M AU - Schneider, R AU - Rost, B PY - 2005/11/01/ UR - http://dx.doi.org/10.1016/S1359-6446(05)03621-4 ER -

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