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基于生物信息学的药物发现工具:从单个基因到综合生物网络的图谱。

Bioinformatics-based tools in drug discovery: the cartography from single gene to integrative biological networks.

机构信息

Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, South Africa.

Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, South Africa.

出版信息

Drug Discov Today. 2018 Sep;23(9):1658-1665. doi: 10.1016/j.drudis.2018.05.041. Epub 2018 Jun 1.

DOI:10.1016/j.drudis.2018.05.041
PMID:29864527
Abstract

Originally developed for the analysis of biological sequences, bioinformatics has advanced into one of the most widely recognized domains in the scientific community. Despite this technological evolution, there is still an urgent need for nontoxic and efficient drugs. The onus now falls on the 'omics domain to meet this need by implementing bioinformatics techniques that will allow for the introduction of pioneering approaches in the rational drug design process. Here, we categorize an updated list of informatics tools and explore the capabilities of integrative bioinformatics in disease control. We believe that our review will serve as a comprehensive guide toward bioinformatics-oriented disease and drug discovery research.

摘要

最初为分析生物序列而开发的生物信息学已经发展成为科学界最广泛认可的领域之一。尽管技术在不断发展,但仍然迫切需要无毒且高效的药物。现在,“组学”领域需要承担起这一责任,通过实施生物信息学技术来满足这一需求,这些技术将允许在合理药物设计过程中引入开创性方法。在这里,我们对更新的信息学工具列表进行分类,并探讨综合生物信息学在疾病控制中的应用。我们相信,我们的综述将成为一个全面的指南,为生物信息学导向的疾病和药物发现研究提供参考。

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