2024
DOI: 10.1101/2024.02.08.579037
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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction

Akash Bahai,
Chee Keong Kwoh,
Yuguang Mu
et al.

Abstract: The 3D structure of RNA critically influences its functionality, and understanding this structure is vital for deciphering RNA biology. Experimental methods for determining RNA structures are labour-intensive, expensive, and time-consuming. Computational approaches have emerged as valuable tools, leveraging physics-based-principles and machine learning to predict RNA structures rapidly. Despite advancements, the accuracy of computational methods remains modest, especially when compared to protein structure pre… Show more

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