CoBind is presented, a multitask deep learning framework that jointly predicts RNA–compound interactions and nucleotide-level binding-site probabilities within a unified architecture and provides complementary nucleotide-level binding-site localization, supporting a site-aware view of RNA–ligand recognition under distribution shift.
Shihang Wang, Lin Wang, Wei Zhao et al.· Journal of Medicinal Chemist...· 0 citations
A context-aware foundation model of bulk transcriptomics for interpretable analysis of transcriptional dynamics and treatment response in AML, which establishes the model as a powerful framework to extract useful information from bulk transcriptomics data and has potential applications in precision medicine by connecting computational predictions with biological insights.
Yi-Bo Chai, Yang Li, Jianbiao Zhou et al.· Cancer Research· 0 citations
By merging chemical heuristics with physical laws, DrugRPG effectively addresses the hallucination crisis, shifting generative SBDD from scoring-oriented optimization toward high-fidelity, realistic lead discovery.