Recent research highlights the critical involvement of circRNAs (circular RNAs) in the pathogenesis of various human diseases. Consequently, the efficient identification of circRNA-disease associations (CDA) holds significant potential for advancing disease diagnostics and therapeutic strategies. However, traditional e...
Yan-Peng Liu, Chao-Rui Guo, Qiao Ning et al.· Computational biology and ch...· 0 citations
Drug-drug interactions (DDIs) are critical in pharmacology, as synergistic or antagonistic effects between co-administered drugs can enhance therapeutic outcomes or cause toxicity, posing major challenges for drug safety assessment and new drug development. Current molecular representation methods often fail to capture...
Li Zhou, Yun Zuo, Wen-Ying He et al.· PLoS Computational Biology· 0 citations
A novel Shared-Specific Multi-view Graph Convolutional Network (SSMGCN) is proposed, which consistently outperforms existing methods in spatial domain identification and its unified embedding supports downstream tasks such as cell-type annotation, spatial localization, and functional analysis, providing a robust founda...
Wei Zhang, Dan-Yang Dong, Bang-Yi Zhang et al.· IEEE transactions on computa...· 0 citations
The enzyme kinetic parameters, including the turnover number, Michaelis constant, and inhibition constant, are key metrics for assessing catalytic performance. Although deep learning models have recently incorporated multimodal information from enzymes and substrates to predict these parameters, several obstacles still...
Cheng-Hao Zhu, Wei-Ping Ding, Wei Zhang et al.· Journal of Chemical Informat...· 0 citations
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