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Predicting RNA pseudoknot folding thermodynamics
Based on the experimentally determined atomic coordinates for RNA helices and the self-avoiding walks of the P (phosphate) and C(4) (carbon) atoms in the diamond lattice for the polynucleotide loop conformations, we derive a set of conformational entropy parameters for RNA pseudoknots. Based on the...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1463895/ https://www.ncbi.nlm.nih.gov/pubmed/16709732 http://dx.doi.org/10.1093/nar/gkl346 |
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author | Cao, Song Chen, Shi-Jie |
author_facet | Cao, Song Chen, Shi-Jie |
author_sort | Cao, Song |
collection | PubMed |
description | Based on the experimentally determined atomic coordinates for RNA helices and the self-avoiding walks of the P (phosphate) and C(4) (carbon) atoms in the diamond lattice for the polynucleotide loop conformations, we derive a set of conformational entropy parameters for RNA pseudoknots. Based on the entropy parameters, we develop a folding thermodynamics model that enables us to compute the sequence-specific RNA pseudoknot folding free energy landscape and thermodynamics. The model is validated through extensive experimental tests both for the native structures and for the folding thermodynamics. The model predicts strong sequence-dependent helix-loop competitions in the pseudoknot stability and the resultant conformational switches between different hairpin and pseudoknot structures. For instance, for the pseudoknot domain of human telomerase RNA, a native-like and a misfolded hairpin intermediates are found to coexist on the (equilibrium) folding pathways, and the interplay between the stabilities of these intermediates causes the conformational switch that may underlie a human telomerase disease. |
format | Text |
id | pubmed-1463895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-14638952006-06-12 Predicting RNA pseudoknot folding thermodynamics Cao, Song Chen, Shi-Jie Nucleic Acids Res Article Based on the experimentally determined atomic coordinates for RNA helices and the self-avoiding walks of the P (phosphate) and C(4) (carbon) atoms in the diamond lattice for the polynucleotide loop conformations, we derive a set of conformational entropy parameters for RNA pseudoknots. Based on the entropy parameters, we develop a folding thermodynamics model that enables us to compute the sequence-specific RNA pseudoknot folding free energy landscape and thermodynamics. The model is validated through extensive experimental tests both for the native structures and for the folding thermodynamics. The model predicts strong sequence-dependent helix-loop competitions in the pseudoknot stability and the resultant conformational switches between different hairpin and pseudoknot structures. For instance, for the pseudoknot domain of human telomerase RNA, a native-like and a misfolded hairpin intermediates are found to coexist on the (equilibrium) folding pathways, and the interplay between the stabilities of these intermediates causes the conformational switch that may underlie a human telomerase disease. Oxford University Press 2006 2006-05-18 /pmc/articles/PMC1463895/ /pubmed/16709732 http://dx.doi.org/10.1093/nar/gkl346 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Cao, Song Chen, Shi-Jie Predicting RNA pseudoknot folding thermodynamics |
title | Predicting RNA pseudoknot folding thermodynamics |
title_full | Predicting RNA pseudoknot folding thermodynamics |
title_fullStr | Predicting RNA pseudoknot folding thermodynamics |
title_full_unstemmed | Predicting RNA pseudoknot folding thermodynamics |
title_short | Predicting RNA pseudoknot folding thermodynamics |
title_sort | predicting rna pseudoknot folding thermodynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1463895/ https://www.ncbi.nlm.nih.gov/pubmed/16709732 http://dx.doi.org/10.1093/nar/gkl346 |
work_keys_str_mv | AT caosong predictingrnapseudoknotfoldingthermodynamics AT chenshijie predictingrnapseudoknotfoldingthermodynamics |