j 2025

Machine learning applied to biocatalysis research

BRATOVIC, Majda; Rebecca BULLER; Stanislav MAZURENKO and Yang YANG

Basic information

Original name

Machine learning applied to biocatalysis research

Authors

BRATOVIC, Majda; Rebecca BULLER; Stanislav MAZURENKO and Yang YANG

Edition

2025

Publisher

NATURE PORTFOLIO

Other information

Language

English

Type of outcome

Article in a journal (not reviewed)

Country of publisher

Germany

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Marked to be transferred to RIV

No

Organization

Přírodovědecká fakulta – Repository – Repository

DOI

https://doi.org/10.1038/s41467-025-64510-y

UT WoS

001586994200039

EID Scopus

2-s2.0-105018599967

Keywords in English

LANGUAGE
Changed: 4/3/2026 00:51, RNDr. Daniel Jakubík

Abstract

In the original language

Machine learning (ML) is rapidly influencing the development of many research areas, including biocatalysis, the use of enzymes and living systems to mediate chemical reactions, often of pharmaceutical and industrial importance. To find out how can machine learning be applied to biocatalysis research, we talked to three scientists, Professor Rebecca Buller (Zurich University of Applied Sciences), Dr. Stanislav Mazurenko (Masaryk University) and Associate Professor Yang Yang (University of California, Santa Barbara). We discussed the potentials and challenges associated with ML, how collaborations between computational and biocatalysis experts can be promoted, and how will the field develop in the future.
Displayed: 20/3/2026 11:51