This work introduces Toxicological Knowledge-guided Graph-based Learning (TKGL), a multiview framework that integrates molecular graphs with substructural alerts and biological mechanism information for more accurate, interpretable, and generalizable chemical safety assessment.
Yan-Jing Duan, Woruo Chen, Kun Li et al.· Journal of Medicinal Chemist...· 0 citations
Current patents indicate that adenine-pocket engagement, linker optimization, conformational control, and scaffold innovation are central to achieving high PARP1 selectivity and represent important directions for future intellectual property development.
Ji-Long Duan, Yan-Jing Duan, Dong-Ling Gu et al.· Expert Opinion on Therapeuti...· 0 citations
By delineating how physics-based priors synergize with data-driven representation learning, this review provides a comprehensive roadmap for generating physically plausible and thermodynamically stable therapeutics, ultimately accelerating the transition of computationally designed molecules from in silico blueprints t...
Hao-Bo Xie, Hao Wang, Xiao-Jun Yao et al.· The Innovation Drug Discover...· 0 citations
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