Effectively utilizing publicly available databases for cancer target evaluation.

NAR Cancer Pub Date : 2023-07-14 eCollection Date: 2023-09-01 DOI:10.1093/narcan/zcad035
Daniel Croft, Puja Lodhia, Sofia Lourenco, Craig MacKay
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Abstract

The majority of compounds designed against cancer drug targets do not progress to become approved drugs, mainly due to lack of efficacy and/or unmanageable toxicity. Robust target evaluation is therefore required before progressing through the drug discovery process to reduce the high attrition rate. There are a wealth of publicly available databases that can be mined to generate data as part of a target evaluation. It can, however, be challenging to learn what databases are available, how and when they should be used, and to understand the associated limitations. Here, we have compiled and present key, freely accessible and easy-to-use databases that house informative datasets from in vitro, in vivo and clinical studies. We also highlight comprehensive target review databases that aim to bring together information from multiple sources into one-stop portals. In the post-genomics era, a key objective is to exploit the extensive cell, animal and patient characterization datasets in order to deliver precision medicine on a patient-specific basis. Effective utilization of the highlighted databases will go some way towards supporting the cancer research community achieve these aims.

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有效利用公开数据库进行癌症靶点评估。
大多数针对癌症药物靶点设计的化合物都未能成为获批药物,主要原因是缺乏疗效和/或毒性难以控制。因此,在药物发现过程取得进展之前,需要进行强有力的靶点评估,以降低高损耗率。有大量可公开获取的数据库可供挖掘,以生成数据作为靶点评估的一部分。但是,要了解哪些数据库可用、如何使用、何时使用以及了解相关的局限性可能很有难度。在此,我们汇编并介绍了可免费访问且易于使用的主要数据库,这些数据库包含了来自体外、体内和临床研究的信息数据集。我们还重点介绍了旨在将多种来源的信息汇集到一站式门户网站的综合靶标综述数据库。在后基因组学时代,一个关键目标是利用广泛的细胞、动物和患者特征数据集,提供针对特定患者的精准医疗。有效利用重点数据库将在一定程度上支持癌症研究界实现这些目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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