What are next generation innovative therapeutic targets? Clues from genetic, structural, physicochemical, and systems profiles of successful targets.
Low target discovery rate has been linked to inadequate consideration of multiple factors that collectively contribute to druggability. These factors include sequence, structural, physicochemical, and systems profiles. Methods individually exploring each of these profiles for target identification have been developed, but they have not been collectively used. We evaluated the collective capability of these methods in identifying promising targets from 1019 research targets based on the multiple profiles of up to 348 successful targets. The collective method combining at least three profiles identified 50, 25, 10, and 4% of the 30, 84, 41, and 864 phase III, II, I, and nonclinical trial targets as promising, including eight to nine targets of positive phase III results. This method dropped 89% of the 19 discontinued clinical trial targets and 97% of the 65 targets failed in high-throughput screening or knockout studies. Collective consideration of multiple profiles demonstrated promising potential in identifying innovative targets.
Bioinformatics and Drug Design Group, Center for Computational Science and Engineering, Department of Pharmacy, National University of Singapore, 18 Science Dr. 4, Singapore 117543.
Feng
F
Zhu
LianYi
L
Han
ChanJuan
C
Zheng
Bin
B
Xie
Martti T
MT
Tammi
ShengYong
S
Yang
YuQuan
Y
Wei
YuZong
Y
Chen
D000818:Animals; D055598:Chemical Phenomena / Q000187:drug effects*; D002986:Clinical Trials as Topic / Q000379:methods / Q000639:trends; D016503:Drug Delivery Systems / Q000379:methods* / Q000639:trends; D015195:Drug Design; D055808:Drug Discovery / Q000379:methods* / Q000639:trends; D018390:Gene Targeting / Q000379:methods* / Q000639:trends; D006801:Humans; D013329:Structure-Activity Relationship