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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Xiucai Ye

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Sep 2026

Deciphering T-cell receptor-antigen recognition through interpretable residue-level interaction modeling.

Accurate identification of interactions between T-cell receptors (TCRs) and antigenic peptides presented by major histocompatibility complex (MHC) molecules is essential for advancing precision immunotherapy. However, existing approaches often exhibit limited generalization to unseen peptides and struggle to capture th...

Wen-Yu Xi, Ruheng Wang, Xiu-Cai Ye et al. · 0 citations
#artificial intelligence May 2026

STE-DC2I Uncovers Driver Genes in Colorectal Cancer Subtypes Using Symbolic Trajectory-Embedded Dark Causal Inference

An explainable intelligence computational framework, Symbolic Trajectory-Embedded Dark Causal Interaction Inference (STE-DC2I), which combines symbolic trajectory embedding with historical prediction mechanisms to model nonmonotonic oscillatory dependencies between genes in CRC subtypes offers interpretable insights an...

Meng Huang, Huijin Hu, Ming Li et al. · 0 citations
Open access Jul 2026

ColdstartMHDTI: integrating biomolecular pretraining and attention-based heterogeneous graph learning for drug–target interaction prediction

ColdstartMHDTI is proposed, a two-stage framework for heterogeneous-graph-based DTI prediction that integrates sequence-derived structural representations with local and global relational information and supports candidate prioritization for downstream screening and evidence-guided hypothesis generation.

Hongyang Yang, Xiucai Ye, Huipu Han et al. · 0 citations

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