Secondary structure prediction for RNA sequences including N6-methyladenosine

Elzbieta Kierzek; Xiaoju Zhang; Richard M. Watson; Scott D. Kennedy; Marta Szabat; Ryszard Kierzek; David H. Mathews

doi:10.1038/s41467-022-28817-4

Nature Communications (Mar 2022)

Secondary structure prediction for RNA sequences including N6-methyladenosine

Elzbieta Kierzek,
Xiaoju Zhang,
Richard M. Watson,
Scott D. Kennedy,
Marta Szabat,
Ryszard Kierzek,
David H. Mathews

Affiliations

Elzbieta Kierzek: Institute of Bioorganic Chemistry Polish Academy of Sciences
Xiaoju Zhang: Department of Biochemistry and Biophysics and Center for RNA Biology, School of Medicine and Dentistry, University of Rochester
Richard M. Watson: Department of Biochemistry and Biophysics and Center for RNA Biology, School of Medicine and Dentistry, University of Rochester
Scott D. Kennedy: Department of Biochemistry and Biophysics and Center for RNA Biology, School of Medicine and Dentistry, University of Rochester
Marta Szabat: Institute of Bioorganic Chemistry Polish Academy of Sciences
Ryszard Kierzek: Institute of Bioorganic Chemistry Polish Academy of Sciences
David H. Mathews: Department of Biochemistry and Biophysics and Center for RNA Biology, School of Medicine and Dentistry, University of Rochester

DOI: https://doi.org/10.1038/s41467-022-28817-4
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 10

Abstract

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RNA folding free energy nearest neighbor parameters were determined for sequences with the nucleotide m6A. The RNAstructure software package can accommodate modified nucleotides, enabling secondary structure prediction of sequences with m6A.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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