Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling
Computational intelligence is catalyzing a paradigm shift in protein science, moving from sequence-based homology inference, through template-dependent structure prediction, to data-driven machine learning, and ultimately toward end-to-end foundation models that jointly predict structure and function [...]
Authors
- Haiting Chai (ORCID: https://orcid.org/0000-0003-0558-3965)
- Jian Zhang (ORCID: https://orcid.org/0000-0001-7155-7760)
- Bi Zhao (ORCID: https://orcid.org/0000-0003-0009-0045)
- Zhipeng Zhou
- Nan Ye
Institutions
- Xinyang Normal University (CN)
- University of Electronic Science and Technology of China (CN)
- University of South Florida (US)
- Xinyang Agriculture and Forestry University (CN)
- University of Oxford (GB)
Publication Details
- Journal
- Biomolecules
- Published
- 2026-11-08
- DOI
- https://doi.org/10.3390/biom16111626
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00