OXIPRO is excited to announce our first joint publication with a sister project, FuturEnzyme. Titled ‘EP-pred: A Machine Learning Tool for Bioprospecting Promiscuous Ester Hydrolases,’ the paper presents a computer model to predict enzyme’s promiscuity from a sequence alone. It is the result of a successful collaborative effort involving co-authors Ruite Xiang , Ana Robles-Martin and Victor Guallar from Barcelona Supercomputing Center (BSC); along with Laura Fernandez-Lopez and Manuel Ferrer, Department of Applied Biocatalysis, ICP, CSIC.
The paper is accessible here
Xiang, R.; Fernandez-Lopez, L.; Robles-Martin, A.; Ferrer, M.; Guallar, V. EP-pred: A Machine Learning Tool for Bioprospecting Promiscuous Ester Hydrolases. Preprints 2022, 2022090100 (doi: 10.20944/preprints202209.0100.v1)