The raw data set for enzyme kinetic parameter prediction

The data distribution is shown above.. Due to overfitting, existing models for predicting enzyme kinetic parameters either suffer from poor generalization ability or lack accuracy.To ensure a fair evaluation of the model’s performance, weused a fair and unbiased dataset created through sequenceclustering based on the CD-HIT program . The held-out test and out-ofdistribution test are represented as pie chart, with the quantitiesof both sets being approximately in a 1:1 ratio.Evaluations onboth held-out and out-of-distribution test datasets demonstratethat our model performs competitively with existing methods,while also delivering reliable uncertainty estimates.