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Open Access

Peer-reviewed

Research Article

Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction

Akash Bahai,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft

Affiliation School of Biological Sciences (SBS), Nanyang Technological University, Singapore, Singapore
⨯
Chee Keong Kwoh,

Roles Funding acquisition, Writing – review & editing

Affiliation School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore
⨯
Yuguang Mu,

Roles Supervision, Writing – review & editing

Affiliation School of Biological Sciences (SBS), Nanyang Technological University, Singapore, Singapore
⨯
Yinghui Li

Roles Funding acquisition, Project administration, Supervision, Writing – review & editing

* E-mail: liyh@ntu.edu.sg

Affiliation School of Biological Sciences (SBS), Nanyang Technological University, Singapore, Singapore

https://orcid.org/0000-0002-9023-9466

⨯

Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction

Akash Bahai,
Chee Keong Kwoh,
Yuguang Mu,
Yinghui Li

x

Published: December 30, 2024
https://doi.org/10.1371/journal.pcbi.1012715

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RNA structure
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Forecasting
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RNA structure prediction
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Protein structure prediction
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Transfer RNA
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Protein structure
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Riboswitches
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Crystal structure
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