Adaptation of Google DeepMind AI AlphaFold2 in Single Protein 3D Structure Prediction: A Critical Review
AlphaFold2, a deep neural network developed by Google DeepMind, revolutionized structural biology following its groundbreaking performance at the 2020 Critical Assessment of Structure Prediction (CASP) competition, where it achieved unprecedented near-experimental accuracy, significantly outperforming other computational models. This paper critically reviews AlphaFold2’s phased integration into protein science, evaluating its impact on three-dimensional protein structure prediction, its feasibility, and positioning within Gartner's Hype Cycle. Additionally, this review explores how AlphaFold2 accelerated artificial intelligence (AI)-driven protein structure prediction and highlights the potential of deep learning in scientific research. Finally, the future role of AlphaFold2 and its reception within the scientific community are considered.
Institutions
- University of Staffordshire (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-02
- DOI
- https://doi.org/10.5281/zenodo.14955108
- Primary Topic
- RNA Interference and Gene Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.00