From sequence to function through structure: Deep learning for protein design

From sequence to function through structure: Deep learning for protein design

The process of designing biomolecules, in particular proteins, is witnessing a rapid change in available tooling and approaches, moving from design through physicochemical force fields, to producing plausible, complex sequences fast via end-to-end differentiable statistical models. To achieve condit...

Full description

Bibliographic Details
Main Authors: Noelia Ferruz, Michael Heinzinger, Mehmet Akdel, Alexander Goncearenco, Luca Naef, Christian Dallago
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Protein design
Protein prediction
Drug discovery
Deep learning
Protein language models
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022005086

Internet

http://www.sciencedirect.com/science/article/pii/S2001037022005086

Similar Items