Peer-reviewedCC BY 4.0Biomolecules
Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling
5 affiliations
- 1School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China
- 2Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China
- 3School of Management, Xinyang Agriculture and Forestry University, Xinyang 464000, China
- 4Genomics Program College of Public Health, University of South Florida, Tampa, FL 33612, USA
- 5Experimental Medicine Division, University of Oxford, Oxford OX1 3SY, UK
Abstract
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 [...]
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BibTeX
@article{zhang2026computational,
title = {{Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling}},
author = {Jian Zhang and Zhipeng Zhou and Nan Ye and Bi Zhao and Haiting Chai},
journal = {Biomolecules},
year = {2026},
month = nov,
doi = {10.3390/biom16111626},
url = {https://www.mdpi.com/2218-273X/16/11/1626},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling
AU - Jian Zhang
AU - Zhipeng Zhou
AU - Nan Ye
AU - Bi Zhao
AU - Haiting Chai
PY - 2026
DA - 2026/11/08
JO - Biomolecules
DO - 10.3390/biom16111626
UR - https://www.mdpi.com/2218-273X/16/11/1626
AB - 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 [...]
SN - 2218-273X
ER -