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Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates.


ABSTRACT: Genetic disease genes are considered a promising source of drug targets. Most diseases are caused by more than one pathogenic factor; thus, it is reasonable to consider that chemical agents targeting multiple disease genes are more likely to have desired activities. This is supported by a comprehensive analysis on the relationships between agent activity/druggability and target genetic characteristics. The therapeutic potential of agents increases steadily with increasing number of targeted disease genes, and can be further enhanced by strengthened genetic links between targets and diseases. By using the multi-label classification models for genetics-based drug activity prediction, we provide universal tools for prioritizing drug candidates. All of the documented data and the machine-learning prediction service are available at SCG-Drug (http://zhanglab.hzau.edu.cn/scgdrug).

SUBMITTER: Quan Y 

PROVIDER: S-EPMC6549477 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates.

Quan Yuan Y   Luo Zhi-Hui ZH   Yang Qing-Yong QY   Li Jiang J   Zhu Qiang Q   Liu Ye-Mao YM   Lv Bo-Min BM   Cui Ze-Jia ZJ   Qin Xuan X   Xu Yan-Hua YH   Zhu Li-Da LD   Zhang Hong-Yu HY  

Frontiers in genetics 20190529


Genetic disease genes are considered a promising source of drug targets. Most diseases are caused by more than one pathogenic factor; thus, it is reasonable to consider that chemical agents targeting multiple disease genes are more likely to have desired activities. This is supported by a comprehensive analysis on the relationships between agent activity/druggability and target genetic characteristics. The therapeutic potential of agents increases steadily with increasing number of targeted dise  ...[more]

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