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

被引:63
作者
Ofran, Y
Punta, M
Schneider, R
Rost, B
机构
[1] Columbia Univ, Dept Biochem & Mol Biophys, NE Struct Genom Consortium NESG, New York, NY 10032 USA
[2] Columbia Univ, Ctr Computat Biol & Bioinformat, New York, NY 10032 USA
[3] European Mol Biol Lab, Struct & Computat Biol Unit, D-69117 Heidelberg, Germany
基金
美国国家卫生研究院;
关键词
D O I
10.1016/S1359-6446(05)03621-4
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Every entirely sequenced genome reveals 100s to 1000s 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 1000s 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.
引用
收藏
页码:1475 / 1482
页数:8
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