Jessi Zhang

Author    Correspondence author
Bioscience Methods, 2024, Vol. 15, No. 2   doi: 10.5376/bm.2024.15.0010
Received: 08 May, 2024    Accepted: 20 May, 2024    Published: 25 May, 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhang J., 2024, Breakthrough in biomolecular interaction prediction with AlphaFold 3, Google deepmind and isomorphic labs introduce AlphaFold 3, a groundbreaking model that vastly improves the accuracy of predicting complex biomolecular interactions, heralding a new era in computational biology and drug discovery, Bioscience Method, 15(2): 89-90 (doi: 10.5376/bm.2024.15.0010)

Google DeepMind and Isomorphic Labs introduce AlphaFold 3, a groundbreaking model that vastly improves the accuracy of predicting complex biomolecular interactions, heralding a new era in computational biology and drug discovery.

Biomolecular; Interaction prediction; AlphaFold 3