ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties

ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties

The UniProt database is a valuable resource for biocatalyst discovery, yet predicting enzymatic functions remains challenging, especially for low-similarity sequences. Identifying superior enzymes with enhanced catalytic properties is even harder. To overcome these challenges, we develop ESM-Ezy, an enzyme mining strategy leveraging the ESM-1b protein language model and similarity calculations in semantic space. Using ESM-Ezy, we identify novel …

ESM-Ezy: A Deep Learning Strategy For The Mining Of Novel Multicopper Oxidases With Superior Properties - Data Intelligence

Materials All chemicals used in this study were of analytical grade or higher. Plasmids for the expression of various multicopper oxidases (MCOs) were synthesized by SynbioB (Tianjin, China). LB broth powder, Isopropyl β-d-1-thiogalactopyranoside (IPTG, Cat. No. A600168), and kanamycin (Cat. No. A506636) were obtained from Sangon Biotech (Shanghai, China). 2,2’-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS, Cat. No. A1…