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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

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Si-Cheng Tian

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#small language model Open access Sep 2026

DDA: a traceable multi-agent framework for automated structure-based drug design

Results indicate that DDA provides a scalable, executable, and traceable computational framework that reduces manual coordination in structure-based automated drug discovery and delivers prioritized candidate sets with minimal human intervention.

Yu-Tao Yu, Si-Cheng Tian, Guo-Hua Wang et al. · 0 citations
Open access Aug 2026

IAGRN: An Interleaved-Attention Graph Neural Network for Gene Regulatory Network Inference

A structure-aware interleaved-attention graph learning framework, termed IAGRN, is proposed for GRN inference from scRNA-seq data that interleaves topology-constrained local attention with distance-aware global attention, enabling effective integration of structural priors and long-range regulatory signals.

Yue Wang, Si-Cheng Tian, Dan Li · 0 citations

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