Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning

no code implementations • 3 Feb 2024 • Ziyi Zhou, Liang Zhang, Yuanxi Yu, Mingchen Li, Liang Hong, Pan Tan

Accurately modeling the protein fitness landscapes holds great importance for protein engineering.

Few-Shot Learning Learning-To-Rank +3

Pro-PRIME: A general Temperature-Guided Language model to engineer enhanced Stability and Activity in Proteins

no code implementations • 24 Jul 2023 • Pan Tan, Mingchen Li, Yuanxi Yu, Fan Jiang, Lirong Zheng, Banghao Wu, Xinyu Sun, Liqi Kang, Jie Song, Liang Zhang, Yi Xiong, Wanli Ouyang, Zhiqiang Hu, Guisheng Fan, Yufeng Pei, Liang Hong

Designing protein mutants of both high stability and activity is a critical yet challenging task in protein engineering.

Language Modelling