4 citations · 5 across the 3 of their papers we have counts for
4 papers
Protein Inverse Folding From Structure Feedback
Junde Xu, Zijun Gao, Xinyi Zhou +6
The inverse folding problem, aiming to design amino acid sequences that fold into desired three-dimensional structures, is pivotal for various biotechnological applications. Here,…
Training Compute-Optimal Protein Language Models
Xingyi Cheng, Bo Chen, Pan Li +3
We explore optimally training protein language models, an area of significant interest in biological research where guidance on best practices is limited. Most models are trained w…
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
Bo Chen, Zhilei Bei, Xingyi Cheng +3
Multiple Sequence Alignment (MSA) plays a pivotal role in unveiling the evolutionary trajectories of protein families. The accuracy of protein structure predictions is often compro…
Linker-Tuning: Optimizing Continuous Prompts for Heterodimeric Protein Prediction
Shuxian Zou, Hui Li, Shentong Mo +3
Predicting the structure of interacting chains is crucial for understanding biological systems and developing new drugs. Large-scale pre-trained Protein Language Models (PLMs), suc…