Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks
S. R. Johnson, X. Fu, S. Viknander, C. Goldin, S. Monaco, A. Zelezniak, K. K. Yang
The paper evaluates computational metrics for predicting enzyme activity in sequences generated by three models and finds that existing metrics like sequence identity and AlphaFold2 scores are not predictive.
bioRxiv · Mar 4, 2023Biochemistry