药物靶点的基因组规模优先级排序：TDR靶点数据库。
Genomic-scale prioritization of drug targets: the TDR Targets database.
作者信息
Agüero Fernán, Al-Lazikani Bissan, Aslett Martin, Berriman Matthew, Buckner Frederick S, Campbell Robert K, Carmona Santiago, Carruthers Ian M, Chan A W Edith, Chen Feng, Crowther Gregory J, Doyle Maria A, Hertz-Fowler Christiane, Hopkins Andrew L, McAllister Gregg, Nwaka Solomon, Overington John P, Pain Arnab, Paolini Gaia V, Pieper Ursula, Ralph Stuart A, Riechers Aaron, Roos David S, Sali Andrej, Shanmugam Dhanasekaran, Suzuki Takashi, Van Voorhis Wesley C, Verlinde Christophe L M J
机构信息
Instituto de Investigaciones Biotecnológicas, Universidad Nacional de General San Martín, San Martín 1650, Buenos Aires, Argentina.
出版信息
Nat Rev Drug Discov. 2008 Nov;7(11):900-7. doi: 10.1038/nrd2684. Epub 2008 Oct 17.
The increasing availability of genomic data for pathogens that cause tropical diseases has created new opportunities for drug discovery and development. However, if the potential of such data is to be fully exploited, the data must be effectively integrated and be easy to interrogate. Here, we discuss the development of the TDR Targets database (http://tdrtargets.org), which encompasses extensive genetic, biochemical and pharmacological data related to tropical disease pathogens, as well as computationally predicted druggability for potential targets and compound desirability information. By allowing the integration and weighting of this information, this database aims to facilitate the identification and prioritization of candidate drug targets for pathogens.
导致热带疾病的病原体的基因组数据越来越容易获取，这为药物发现和开发创造了新机会。然而，要充分利用这些数据的潜力，就必须有效地整合数据并使其易于查询。在此，我们讨论了TDR靶点数据库（http://tdrtargets.org）的开发情况，该数据库包含了与热带疾病病原体相关的广泛遗传、生化和药理学数据，以及对潜在靶点的计算预测成药可能性和化合物适宜性信息。通过允许整合这些信息并进行加权，该数据库旨在促进病原体候选药物靶点的识别和优先级排序。
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