Back to Search Start Over

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

Authors :
Quan Y
Luo ZH
Yang QY
Li J
Zhu Q
Liu YM
Lv BM
Cui ZJ
Qin X
Xu YH
Zhu LD
Zhang HY
Source :
Frontiers in genetics [Front Genet] 2019 May 29; Vol. 10, pp. 474. Date of Electronic Publication: 2019 May 29 (Print Publication: 2019).
Publication Year :
2019

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).

Details

Language :
English
ISSN :
1664-8021
Volume :
10
Database :
MEDLINE
Journal :
Frontiers in genetics
Publication Type :
Academic Journal
Accession number :
31191604
Full Text :
https://doi.org/10.3389/fgene.2019.00474