We have 3 of 24 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
MAPViS provides a scalable multimodal framework for joint activity–toxicity modeling and offers a practical computational tool for antibiotic virtual screening and candidate prioritization.
Identifying synergistic drug combinations is crucial for cancer treatment but poses significant challenges due to combinatorial complexity and the time-consuming wet-lab validation. This study proposes SuperGATSyn, a super-node graph attention framework for drug synergy prediction. The model introduces a cell-feature s...
Results indicate that FragSyn, through the synergistic design of fragment-level representation and cellular context awareness, provides an effective and interpretable new approach to synergistic drug combination prediction.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
