Literature DB >> 25577374

Modeling and predicting RNA three-dimensional structures.

Jérôme Waldispühl1, Vladimir Reinharz.   

Abstract

Modeling the three-dimensional structure of RNAs is a milestone toward better understanding and prediction of nucleic acids molecular functions. Physics-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To address this issue, coarse-grained models of RNA three-dimensional structures have been developed. In this chapter, we describe a graphical modeling based on the Leontis-Westhof extended base-pair classification. This representation of RNA structures enables us to identify highly conserved structural motifs with complex nucleotide interactions in structure databases. Further, we show how to take advantage of this knowledge to quickly and simply predict three-dimensional structures of large RNA molecules.

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Year:  2015        PMID: 25577374     DOI: 10.1007/978-1-4939-2291-8_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  RNA-MoIP: prediction of RNA secondary structure and local 3D motifs from sequence data.

Authors:  Jason Yao; Vladimir Reinharz; François Major; Jérôme Waldispühl
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

2.  Classification of RNA structure change by 'gazing' at experimental data.

Authors:  Chanin Tolson Woods; Alain Laederach
Journal:  Bioinformatics       Date:  2017-06-01       Impact factor: 6.937

3.  Prediction of the RNA Tertiary Structure Based on a Random Sampling Strategy and Parallel Mechanism.

Authors:  Zhendong Liu; Yurong Yang; Dongyan Li; Xinrong Lv; Xi Chen; Qionghai Dai
Journal:  Front Genet       Date:  2022-01-05       Impact factor: 4.599

  3 in total

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