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RNAHelix: computational modeling of nucleic acid structures with Watson-Crick and non-canonical base pairs
Saha Institute Nucl Phys, India.
Saha Institute Nucl Phys, India.
Linköping University, Department of Physics, Chemistry and Biology, Bioinformatics. Linköping University, Faculty of Science & Engineering. University of Calcutta, India.
Saha Institute Nucl Phys, India.
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2017 (English)In: Journal of Computer-Aided Molecular Design, ISSN 0920-654X, E-ISSN 1573-4951, Vol. 31, no 2, 219-235 p.Article in journal (Refereed) Published
Abstract [en]

Comprehensive analyses of structural features of non-canonical base pairs within a nucleic acid double helix are limited by the availability of a small number of three dimensional structures. Therefore, a procedure for model building of double helices containing any given nucleotide sequence and base pairing information, either canonical or non-canonical, is seriously needed. Here we describe a program RNAHelix, which is an updated version of our widely used software, NUCGEN. The program can regenerate duplexes using the dinucleotide step and base pair orientation parameters for a given double helical DNA or RNA sequence with defined Watson-Crick or non-Watson-Crick base pairs. The original structure and the corresponding regenerated structure of double helices were found to be very close, as indicated by the small RMSD values between positions of the corresponding atoms. Structures of several usual and unusual double helices have been regenerated and compared with their original structures in terms of base pair RMSD, torsion angles and electrostatic potentials and very high agreements have been noted. RNAHelix can also be used to generate a structure with a sequence completely different from an experimentally determined one or to introduce single to multiple mutation, but with the same set of parameters and hence can also be an important tool in homology modeling and study of mutation induced structural changes.

Place, publisher, year, edition, pages
SPRINGER , 2017. Vol. 31, no 2, 219-235 p.
Keyword [en]
Molecular modeling; RNA; Non Watson-Crick base pairs; Base pair parameters; Dinucleotide step parameters; Electrostatic potential
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-136332DOI: 10.1007/s10822-016-0007-0ISI: 000394967800005PubMedID: 28102461OAI: oai:DiVA.org:liu-136332DiVA: diva2:1087910
Note

Funding Agencies|Department of Atomic Energy, Govt. of India; Department of Biotechnology, Govt. of India; J.C. Bose National Fellowship from DST, India

Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-10

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