Protein sequence design with a learned potential

Rational protein design to achieve a given protein backbone conformation is needed to engineer specific functions. Here Anand et al. describe a machine learning method using a learned neural network potential for fixed-backbone protein design.

Bibliographic Details
Main Authors: Namrata Anand, Raphael Eguchi, Irimpan I. Mathews, Carla P. Perez, Alexander Derry, Russ B. Altman, Po-Ssu Huang
Format: Article
Language:English
Published: Nature Portfolio 2022-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-28313-9
Description
Summary:Rational protein design to achieve a given protein backbone conformation is needed to engineer specific functions. Here Anand et al. describe a machine learning method using a learned neural network potential for fixed-backbone protein design.
ISSN:2041-1723