Ofran Yanay, Punta Marco, Schneider Reinhard, Rost Burkhard
CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
Drug Discov Today. 2005 Nov 1;10(21):1475-82. doi: 10.1016/S1359-6446(05)03621-4.
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.
每个完全测序的基因组都揭示出成百上千个蛋白质序列，而目前唯一可用的注释是“假定蛋白质”。因此，在人类基因组以及病原体基因组中，可能存在上千个潜在的、未被探索的药物靶点。蛋白质功能的计算预测可以在研究这些靶点中发挥作用。我们将回顾计算功能预测领域的挑战、研究方法和最近开发的工具，并讨论这些问题可能改变药物发现过程的方式。
