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An all-atom protein generative model.

Authors :
Chu, Alexander E.
Jinho Kim
Cheng, Lucy
El Nesr, Gina
Minkai Xu
Shuai, Richard W.
Po-Ssu Huang
Source :
Proceedings of the National Academy of Sciences of the United States of America; 7/2/2024, Vol. 121 Issue 27, p1-11, 41p
Publication Year :
2024

Abstract

Proteins mediate their functions through chemical interactions; modeling these interactions, which are typically through sidechains, is an important need in protein design. However, constructing an all-atom generative model requires an appropriate scheme for managing the jointly continuous and discrete nature of proteins encoded in the structure and sequence. We describe an all-atom diffusion model of protein structure, Protpardelle, which represents all sidechain states at once as a "superposition" state; superpositions defining a protein are collapsed into individual residue types and conformations during sample generation. When combined with sequence design methods, our model is able to codesign all-atom protein structure and sequence. Generated proteins are of good quality under the typical quality, diversity, and novelty metrics, and sidechains reproduce the chemical features and behavior of natural proteins. Finally, we explore the potential of our model to conduct all-atom protein design and scaffold functional motifs in a backbone- and rotamer-free way. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
121
Issue :
27
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
178326864
Full Text :
https://doi.org/10.1073/pnas.2311500121