Hong Yang

TL;DR: A comprehensive analysis of all 89 innovative targets of first-in-class drugs approved in 2004–17 confirmed the literature-reported common druggability characteristics for clinical success of these innovative targets, exposed trial-speed differentiating features associated to the on-target and off-target collateral effects in humans and revealed a simple rule for identifying the speedy human targets through clinical trials.

TL;DR: An analysis between approved multi-target drugs and combination products against the human kinome is performed, which could assist the discovery of next generation polypharmacology.

TL;DR: A comparative study may help to facilitate the identification of the druggability of established drug targets by their system profiles and drug-target interaction networks.

TL;DR: This study comprehensively assessed the performance of four popular algorithms applied to protein function prediction, which could facilitate the selection of the most appropriate method in the related biomedical research.

TL;DR: By adopting optimized CVSM, 91 promising dual target leads form 15 scaffolds were identified, and 40% of these scaffolds have already been reported to show antidepressant related therapeutic effects and are capable in identifying novel SPARIs from large chemical libraries with extremely low false hit rate.