Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Abstract Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different ar...
Main Authors: | Anastasiya V. Kulikova, Daniel J. Diaz, Tianlong Chen, T. Jeffrey Cole, Andrew D. Ellington, Claus O. Wilke |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-40247-w |
Similar Items
-
A new synthetic peptide having two target of antibacterial action in E. coli ML35
by: Hernando Curtidor, et al.
Published: (2016-12-01) -
Principles of biochemistry : general aspects /
by: Smith, Emil L.
Published: (1983) -
Laboratory methodology in biochemistry : amino acid analysis and protein sequencing/
by: Fini, Carlo, et al.
Published: (1990) -
Clinical biochemistry : metabolic and clinical aspects /
by: Marshall, William J., et al.
Published: (2008) -
Proteins : biochemistry and biotechnology /
by: Walsh, Gary, author
Published: (2014)