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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Zhen Li

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Open access Aug 2026

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction

TPpred-PepPA is developed, a two-stage hierarchical deep learning framework based on the ProtT5 pre-trained large language model that achieves state-of-the-art predictive performance and provides valuable interpretability for the discovery of multi-functional therapeutic peptides.

Ke Yan, Siyang Lu, Shutao Chen et al. · 0 citations
Aug 2026

UniPept: A Universal Model for Predicting Peptide Properties Based on Atom-Residue Dual-Scale Integration.

The proposed UniPept is a novel model for peptide property prediction that integrates atomic-level and residue-level features to generate robust peptide representations and outperforms competing approaches in interaction and binding affinity prediction tasks.

Hao-Shuang Wu, Yu Deng, Zhen Li et al. · 0 citations

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