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cs.LG2026
RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
Zhenkun Shi, Jun Zhu, Dehang Wang +7
A key challenge in enzyme annotation is identifying the biochemical reactions catalyzed by proteins. Most existing methods rely on Enzyme Commission (EC) numbers as intermediaries:…
cs.LG2024★ 4 cited
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…