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RNA 3D Structure Prediction: Progress and Perspective. | LitMetric

RNA 3D Structure Prediction: Progress and Perspective.

Molecules

Department of Physics, Key Laboratory of Artificial Micro & Nano-Structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, China.

Published: July 2023

AI Article Synopsis

  • * In the past two decades, significant attention has been focused on RNA structure prediction, developing computational models to determine RNA's 3D shapes.
  • * This review highlights recent progress in RNA structure modeling, covering prediction methods, evaluation of near-native structures, and refinement techniques, while also providing insights for future research directions.

Article Abstract

Ribonucleic acid (RNA) molecules play vital roles in numerous important biological functions such as catalysis and gene regulation. The functions of RNAs are strongly coupled to their structures or proper structure changes, and RNA structure prediction has been paid much attention in the last two decades. Some computational models have been developed to predict RNA three-dimensional (3D) structures in silico, and these models are generally composed of predicting RNA 3D structure ensemble, evaluating near-native RNAs from the structure ensemble, and refining the identified RNAs. In this review, we will make a comprehensive overview of the recent advances in RNA 3D structure modeling, including structure ensemble prediction, evaluation, and refinement. Finally, we will emphasize some insights and perspectives in modeling RNA 3D structures.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386116PMC
http://dx.doi.org/10.3390/molecules28145532DOI Listing

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