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Peer-reviewedCC BY 4.0Biomolecules

Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling

5 affiliations
  1. 1School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China
  2. 2Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China
  3. 3School of Management, Xinyang Agriculture and Forestry University, Xinyang 464000, China
  4. 4Genomics Program College of Public Health, University of South Florida, Tampa, FL 33612, USA
  5. 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  -