Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abstrak
The introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design2, 3, 4, 5–6. Here we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues. The new AlphaFold model demonstrates substantially improved accuracy over many previous specialized tools: far greater accuracy for protein–ligand interactions compared with state-of-the-art docking tools, much higher accuracy for protein–nucleic acid interactions compared with nucleic-acid-specific predictors and substantially higher antibody–antigen prediction accuracy compared with AlphaFold-Multimer v.2.37,8. Together, these results show that high-accuracy modelling across biomolecular space is possible within a single unified deep-learning framework. AlphaFold 3 has a substantially updated architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues with greatly improved accuracy over many previous specialized tools.
Topik & Kata Kunci
Penulis (48)
Josh Abramson
Jonas Adler
Jack Dunger
Richard Evans
Tim Green
A. Pritzel
Olaf Ronneberger
Lindsay Willmore
Andrew J Ballard
Joshua Bambrick
Sebastian Bodenstein
David A Evans
Chia-Chun Hung
Michael O’Neill
D. Reiman
Kathryn Tunyasuvunakool
Zachary Wu
Akvile Zemgulyte
Eirini Arvaniti
Charles Beattie
Ottavia Bertolli
Alex Bridgland
Alexey Cherepanov
Miles Congreve
A. Cowen-Rivers
Andrew Cowie
Michael Figurnov
Fabian B Fuchs
Hannah Gladman
Rishub Jain
Yousuf A. Khan
Caroline M R Low
Kuba Perlin
Anna Potapenko
Pascal Savy
Sukhdeep Singh
A. Stecula
Ashok Thillaisundaram
Catherine Tong
Sergei Yakneen
Ellen D. Zhong
Michal Zielinski
Augustin Žídek
V. Bapst
Pushmeet Kohli
Max Jaderberg
D. Hassabis
J. Jumper
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Total Sitasi
- 9801×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1038/s41586-024-07487-w
- Akses
- Open Access ✓