A Probabilistic Model of RNA Conformational Space
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DOI: 10.1371/journal.pcbi.1000406
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References listed on IDEAS
- Thomas Hamelryck & John T Kent & Anders Krogh, 2006. "Sampling Realistic Protein Conformations Using Local Structural Bias," PLOS Computational Biology, Public Library of Science, vol. 2(9), pages 1-13, September.
- K. V. Mardia, 1999. "Directional statistics and shape analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 949-957.
- Marc Parisien & François Major, 2008. "The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data," Nature, Nature, vol. 452(7183), pages 51-55, March.
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Cited by:
- Mardia, Kanti V. & Wiechers, Henrik & Eltzner, Benjamin & Huckemann, Stephan F., 2022. "Principal component analysis and clustering on manifolds," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
- Jun Li & Wei Zhu & Jun Wang & Wenfei Li & Sheng Gong & Jian Zhang & Wei Wang, 2018. "RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-18, November.
- Mélanie Boudard & Julie Bernauer & Dominique Barth & Johanne Cohen & Alain Denise, 2015. "GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
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