Leveraging active site information for deep learning prediction of enzyme–substrate Michaelis constants

Read full text
Authors: Daniil Lepikhov, Laura Sandner, Ariane Nunes‐Alves
Cited by: 0

Abstract

The Michaelis constant ( K M ) is a key parameter in enzymology. Active site for K M (AS4Km) is a deep learning model that leverages explicit active site information to predict K M values for enzyme–substrate complexes.

Fields of Study & Subjects

Protein Structure and Dynamics Computational Drug Discovery Methods Machine Learning in Materials Science

Publication details

Journal / source
Digital Discovery
Volume
5
Issue
7
Pages
2915–2928
Publication date
1 January 2026
Language
EN