Gene and drug landing page aggregator.
Gene and drug landing page aggregator.
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DOI：
10.1093/bioadv/vbac013
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Ma'ayan A
中科院分区：
文献类型：
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作者：
Clarke DJB;Kuleshov MV;Xie Z;Evangelista JE;Meyers MR;Kropiwnicki E;Jenkins SL;Ma'ayan A
许多生物和生物医学研究人员通常会搜索有关基因和药物的信息，以从这些资源中收集知识。在很大程度上，这些信息被用作不同数据仓库和门户网站的登录页面。基因和药物登录页面聚合器(GDLPA)为用户提供访问50个以基因为中心的存储库和19个以药物为中心的存储库的权限，使他们能够检索与其基因和药物查询相对应的登录页面。将这些资源集中到一个仪表板中，将用户引导到许多资源的登录页面，可以帮助集中以基因和药物为中心的知识，并提高人们对使用标准搜索引擎时可能会错过的可用资源的认识。为了证明GDLPA的有效性，对基因klotho和药物redesivir进行了案例研究。第一个案例研究强调了Klotho作为衰老和肾脏疾病药物靶点的潜在作用，而第二个研究收集了有关redesivir的批准、使用和安全性的知识，redesivir是第一个被批准用于治疗2019年冠状病毒疾病的药物。最后，根据我们的经验，我们为开发有效的基因和药物登录页面提供了指导方针。GDLPA是开源的，可从以下网站获得：https://cfde-gene-pages.cloud/.补充数据可在生物信息学进展在线上获得。
Many biological and biomedical researchers commonly search for information about genes and drugs to gather knowledge from these resources. For the most part, such information is served as landing pages in disparate data repositories and web portals. The Gene and Drug Landing Page Aggregator (GDLPA) provides users with access to 50 gene-centric and 19 drug-centric repositories, enabling them to retrieve landing pages corresponding to their gene and drug queries. Bringing these resources together into one dashboard that directs users to the landing pages across many resources can help centralize gene- and drug-centric knowledge, as well as raise awareness of available resources that may be missed when using standard search engines. To demonstrate the utility of GDLPA, case studies for the gene klotho and the drug remdesivir were developed. The first case study highlights the potential role of klotho as a drug target for aging and kidney disease, while the second study gathers knowledge regarding approval, usage, and safety for remdesivir, the first approved coronavirus disease 2019 therapeutic. Finally, based on our experience, we provide guidelines for developing effective landing pages for genes and drugs. GDLPA is open source and is available from: https://cfde-gene-pages.cloud/. Supplementary data are available at Bioinformatics Advances online.