GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes

GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes

Abstract Michaelis constant (KM) is one of essential parameters for enzymes kinetics in the fields of protein engineering, enzyme engineering, and synthetic biology. As overwhelming experimental measurements of KM are difficult and time-consuming, prediction of the KM values from machine and deep le...

Full description

Bibliographic Details
Main Authors: Xiao He, Ming Yan
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
Neural networks
Tree boosting
Michaelis constant
Deep learning
Graph neural network
Online Access:https://doi.org/10.1186/s12859-024-05746-1

Internet

https://doi.org/10.1186/s12859-024-05746-1

Similar Items