Myco Umemura

This study uses machine learning to discover enzymes for producing ADAME in E. coli, achieving a 5.6-fold improvement over existing methods.

This paper introduces a transformer-based model for predicting and designing biosynthetic gene clusters, achieving high accuracy in domain prediction and validating novel gene clusters through experimental testing.

The paper compares genome and transcriptome data from five Aspergillus species to analyze variations in biosynthetic gene cluster expression, finding that conserved clusters show diverse expression patterns despite genetic conservation.