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

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

no code implementations • 29 Dec 2022 • Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong

Here, we develop SESNet, a supervised deep-learning model to predict the fitness for protein mutants by leveraging both sequence and structure information, and exploiting attention mechanism.

Data Augmentation