Mining nematode genome data for novel drug targets
Mining nematode genome data for novel drug targets
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DOI：
10.1016/j.pt.2004.12.002
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发表时间：
2005-03-01
影响因子：
9.6
通讯作者：
Carlow, CKS
中科院分区：
文献类型：
--
作者：
Foster, JM;Zhang, YH;Carlow, CKS
表达序列标签项目目前已经从30多个线虫物种中产生了超过40万个部分基因序列，并且正在确定选定线虫的全基因组序列。此外，在模式线虫秀丽隐杆线虫的功能分析已经解决了基因组序列预测的几乎所有基因的作用。最近可用的线虫DNA序列的数量激增，加上新的基因功能数据，提供了一个前所未有的机会，通过有效挖掘线虫基因组数据库，以确定预先验证的药物靶标。本文介绍了各种可用的信息来源和可以加快这一过程的策略。
Expressed sequence tag projects have currently produced over 400 000 partial gene sequences from more than 30 nematode species and the full genomic sequences of selected nematodes are being determined. In addition, functional analyses in the model nematode Caenorhabditis elegans have addressed the role of almost all genes predicted by the genome sequence. This recent explosion in the amount of available nematode DNA sequences, coupled with new gene function data, provides an unprecedented opportunity to identify pre-validated drug targets through efficient mining of nematode genomic databases. This article describes the various information sources available and strategies that can expedite this process.