Circular RNAs (circRNAs) and microRNAs (miRNAs) are key regulators in various biological processes, and identifying their interactions is vital for elucidating disease mechanisms. However, due to the high experimental cost and limited coverage of known circRNA-miRNA interactions (CMIs), there is a pressing need for com...
Mengmeng Wei, Lei Wang, Peng-Wei Hu et al.· Proceedings of the 32nd ACM...· 0 citations
MuSeL is proposed, a multi-scale adaptive graph representation learning framework that jointly mitigates the above issues from two complementary perspectives: global topology modeling and local structure optimization.
Yuehu Wu, Lei Wang, Zhengwei Li et al.· Proceedings of the 32nd ACM...· 0 citations
MuSeL is proposed, a multi-scale adaptive graph representation learning framework that jointly mitigates the above issues from two complementary perspectives: global topology modeling and local structure optimization.
Yuehu Wu, Lei Wang, Zhengwei Li et al.· Proceedings of the 32nd ACM...· 0 citations
A novel committor learning framework grounded in the AlphaFold 3 paradigm is proposed that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
Jintu Zhang, Zichang Jin, Huifeng Zhao et al.· 0 citations
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