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ARTEM: a method for RNA and DNA tertiary motif identification with backbone permutations
Eugene F Baulin1,2,3, Davyd R Bohdan4, Dawid Kowalski4
1International Institute of Molecular and Cell Biology in Warsaw, Ul. Ks. Trojdena 4, 02-109, Warsaw, Poland. efbaulin@gmail.com.
ARTEM 2.0 automates searches for 3D nucleic acid motifs, overcoming limitations of existing methods. This tool identifies structural patterns in RNA and DNA, enabling new discoveries in molecular structure and function.
Area of Science:
- Structural Biology
- Computational Biology
- Molecular Biology
Background:
- Non-coding RNA function is determined by 3D structure, composed of tertiary motifs.
- Computational motif discovery is challenging due to sequence, interaction, or topology constraints.
Purpose of the Study:
- To develop an automated, unrestrained computational method for identifying 3D motifs in nucleic acid structure databases.
- To enable comprehensive analysis of RNA and DNA structural motifs and their variations.
Main Methods:
- Implementation of ARTEM 2.0 (Automated Recognition of Tertiary structural Elements in Macromolecules).
- Application of ARTEM 2.0 for searching known motifs like kink-turns, G-quadruplexes, GNRA tetraloops, and i-motifs within structural databases.
Main Results:
- ARTEM 2.0 successfully performs automated, unrestrained searches for 3D nucleic acid motifs.
- The method outperforms existing approaches in motif identification.
- ARTEM 2.0 facilitates the discovery of novel structural motif variants.
Conclusions:
- ARTEM 2.0 provides a novel computational framework for studying nucleic acid 3D structures.
- The tool enhances the analysis of motif correlations and variations, advancing the understanding of nucleic acid folding and function.
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