The proto-Nucleic Acid Builder: A software tool for constructing nucleic acid analogs

Asem Alenaizan, Joshua L. Barnett, Nicholas V. Hud, C. David Sherrill, Anton S. Petrov*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The helical structures of DNA and RNA were originally revealed by experimental data. Likewise, the development of programs for modeling these natural polymers was guided by known structures. These nucleic acid polymers represent only two members of a potentially vast class of polymers with similar structural features, but that differ from DNA and RNA in the backbone or nucleobases. Xeno nucleic acids (XNAs) incorporate alternative backbones that affect the conformational, chemical, and thermodynamic properties of XNAs. Given the vast chemical space of possible XNAs, computational modeling of alternative nucleic acids can accelerate the search for plausible nucleic acid analogs and guide their rational design. Additionally, a tool for the modeling of nucleic acids could help reveal what nucleic acid polymers may have existed before RNA in the early evolution of life. To aid the development of novel XNA polymers and the search for possible pre-RNA candidates, this article presents the proto-Nucleic Acid Builder (https://github.com/GT-NucleicAcids/pnab), an open-source program for modeling nucleic acid analogs with alternative backbones and nucleobases. The torsion-driven conformation search procedure implemented here predicts structures with good accuracy compared to experimental structures, and correctly demonstrates the correlation between the helical structure and the backbone conformation in DNA and RNA.

Original languageEnglish
Pages (from-to)79-89
Number of pages11
JournalNucleic Acids Research
Volume49
Issue number1
DOIs
StatePublished - 11 Jan 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

ASJC Scopus subject areas

  • Genetics

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