PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding

no code implementations • 21 Jan 2024 • Ruochi Zhang, Haoran Wu, Chang Liu, Huaping Li, Yuqian Wu, Kewei Li, Yifan Wang, Yifan Deng, Jiahui Chen, Fengfeng Zhou, Xin Gao

This study introduces a novel multi-view contrastive learning framework PepHarmony for the sequence-based peptide encoding task.

Contrastive Learning Drug Discovery

Structure-informed Language Models Are Protein Designers

1 code implementation • 3 Feb 2023 • Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu

This paper demonstrates that language models are strong structure-based protein designers.

ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning

no code implementations • 8 Nov 2022 • Jinta Weng, Yifan Deng, d Donghao Li, Hao You, Yue Hu, Heyan Huang

The prompt has become an effective linguistic tool for utilizing pre-trained language models.

Contrastive Learning Few-Shot Learning

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

no code implementations • 14 Oct 2021 • Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu

The identification of active binding drugs for target proteins (termed as drug-target interaction prediction) is the key challenge in virtual screening, which plays an essential role in drug discovery.

Drug Discovery Molecular Docking +1