Analysis for the Science Librarians of the 2024 Nobel Prize in Chemistry: Computational Protein Design and Protein Structure Prediction
-
1.
University of Illinois Urbana-Champaign
-
2.
California Institute of Technology
Abstract
The 2024 Nobel Prize in Chemistry recognized three scientists who each contributed to the development of predictive protein folding and artificial intelligence tools to predict the structure of nearly all known proteins. Proteins are composed of long, three-dimensional chains, formed by combining twenty different types of amino acids, that fold into unique structures which determine their function. David Baker has demonstrated new ways to create protein structures that have the capacity for discoveries imperative to biochemistry and medicine. Demis Hassabis and John M. Jumper, both from Google DeepMind, developed the open access AlphaFold artificial intelligence tool, which can predict protein folding structures and enable large-scale structural biology.
Copyright and License
© 2025 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work isproperly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or withtheir consent.
Files
| Name | Size | Download all |
|---|---|---|
|
md5:b676dd42da40a79a822f14f5a6ac6089
|
1.2 MB | Preview Download |
Additional details
- Available
-
2025-02-19Published online
- Caltech groups
- Caltech Library
- Publication Status
- Published