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RNABP COGEST: a resource for investigating functional RNAs

Structural bioinformatics of RNA has evolved mainly in response to the rapidly accumulating evidence that non-(protein)-coding RNAs (ncRNAs) play critical roles in gene regulation and development. The structures and functions of most ncRNAs are however still unknown. Most of the available RNA struct...

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Autores principales: Bhattacharya, Sohini, Mittal, Shriyaa, Panigrahi, Swati, Sharma, Purshotam, S. P., Preethi, Paul, Rahul, Halder, Sukanya, Halder, Antarip, Bhattacharyya, Dhananjay, Mitra, Abhijit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360618/
https://www.ncbi.nlm.nih.gov/pubmed/25776022
http://dx.doi.org/10.1093/database/bav011
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author Bhattacharya, Sohini
Mittal, Shriyaa
Panigrahi, Swati
Sharma, Purshotam
S. P., Preethi
Paul, Rahul
Halder, Sukanya
Halder, Antarip
Bhattacharyya, Dhananjay
Mitra, Abhijit
author_facet Bhattacharya, Sohini
Mittal, Shriyaa
Panigrahi, Swati
Sharma, Purshotam
S. P., Preethi
Paul, Rahul
Halder, Sukanya
Halder, Antarip
Bhattacharyya, Dhananjay
Mitra, Abhijit
author_sort Bhattacharya, Sohini
collection PubMed
description Structural bioinformatics of RNA has evolved mainly in response to the rapidly accumulating evidence that non-(protein)-coding RNAs (ncRNAs) play critical roles in gene regulation and development. The structures and functions of most ncRNAs are however still unknown. Most of the available RNA structural databases rely heavily on known 3D structures, and contextually correlate base pairing geometry with actual 3D RNA structures. None of the databases provide any direct information about stabilization energies. However, the intrinsic interaction energies of constituent base pairs can provide significant insights into their roles in the overall dynamics of RNA motifs and structures. Quantum mechanical (QM) computations provide the only approach toward their accurate quantification and characterization. ‘RNA Base Pair Count, Geometry and Stability’ (http://bioinf.iiit.ac.in/RNABPCOGEST) brings together information, extracted from literature data, regarding occurrence frequency, experimental and quantum chemically optimized geometries, and computed interaction energies, for non-canonical base pairs observed in a non-redundant dataset of functional RNA structures. The database is designed to enable the QM community, on the one hand, to identify appropriate biologically relevant model systems and also enable the biology community to easily sift through diverse computational results to gain theoretical insights which could promote hypothesis driven biological research. Database URL: http://bioinf.iiit.ac.in/RNABPCOGEST
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spelling pubmed-43606182015-03-23 RNABP COGEST: a resource for investigating functional RNAs Bhattacharya, Sohini Mittal, Shriyaa Panigrahi, Swati Sharma, Purshotam S. P., Preethi Paul, Rahul Halder, Sukanya Halder, Antarip Bhattacharyya, Dhananjay Mitra, Abhijit Database (Oxford) Original Article Structural bioinformatics of RNA has evolved mainly in response to the rapidly accumulating evidence that non-(protein)-coding RNAs (ncRNAs) play critical roles in gene regulation and development. The structures and functions of most ncRNAs are however still unknown. Most of the available RNA structural databases rely heavily on known 3D structures, and contextually correlate base pairing geometry with actual 3D RNA structures. None of the databases provide any direct information about stabilization energies. However, the intrinsic interaction energies of constituent base pairs can provide significant insights into their roles in the overall dynamics of RNA motifs and structures. Quantum mechanical (QM) computations provide the only approach toward their accurate quantification and characterization. ‘RNA Base Pair Count, Geometry and Stability’ (http://bioinf.iiit.ac.in/RNABPCOGEST) brings together information, extracted from literature data, regarding occurrence frequency, experimental and quantum chemically optimized geometries, and computed interaction energies, for non-canonical base pairs observed in a non-redundant dataset of functional RNA structures. The database is designed to enable the QM community, on the one hand, to identify appropriate biologically relevant model systems and also enable the biology community to easily sift through diverse computational results to gain theoretical insights which could promote hypothesis driven biological research. Database URL: http://bioinf.iiit.ac.in/RNABPCOGEST Oxford University Press 2015-03-16 /pmc/articles/PMC4360618/ /pubmed/25776022 http://dx.doi.org/10.1093/database/bav011 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Bhattacharya, Sohini
Mittal, Shriyaa
Panigrahi, Swati
Sharma, Purshotam
S. P., Preethi
Paul, Rahul
Halder, Sukanya
Halder, Antarip
Bhattacharyya, Dhananjay
Mitra, Abhijit
RNABP COGEST: a resource for investigating functional RNAs
title RNABP COGEST: a resource for investigating functional RNAs
title_full RNABP COGEST: a resource for investigating functional RNAs
title_fullStr RNABP COGEST: a resource for investigating functional RNAs
title_full_unstemmed RNABP COGEST: a resource for investigating functional RNAs
title_short RNABP COGEST: a resource for investigating functional RNAs
title_sort rnabp cogest: a resource for investigating functional rnas
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360618/
https://www.ncbi.nlm.nih.gov/pubmed/25776022
http://dx.doi.org/10.1093/database/bav011
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