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Computational Intelligence Accelerates Protein Structure and Function Prediction and Modeling

Year: 2026

Type: article

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 [...]

Source: Biomolecules

DOI: 10.3390/biom16111626

Authors: Jian Zhang, Zhipeng Zhou, Nan Ye, Bi Zhao, Haiting Chai

Institutions: Xinyang Normal University, University of Electronic Science and Technology of China, Xinyang Agriculture and Forestry University, University of South Florida, University of Oxford

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,258

OpenAlex ID: W7225625062

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Cites: 34

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