Visual-SELEX: A technology ensemble for evaluating aptamer structural similarity via 3D visual spatial conformational analysis

To date, the study of single-stranded DNA (ssDNA) similarity has focused mainly on the similarity of bases in the same position in the nucleic acid sequence. However, focusing only on the similarity of base sequences has limitations. This similarity evaluation considers only the one-dimensional simi...

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Vydáno v:Journal of bioinformatics and computational biology Ročník 23; číslo 4; s. 2550010
Hlavní autor: Wang, Nijia
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore 01.08.2025
Témata:
Aptamers, Nucleotide - chemistry
Base Sequence
DNA, Single-Stranded - chemistry
Molecular Dynamics Simulation
Nucleic Acid Conformation
SELEX Aptamer Technique - methods
3D point cloud
structural similarity
Aptamer structure
visual analysis
ISSN:1757-6334, 1757-6334
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Shrnutí:To date, the study of single-stranded DNA (ssDNA) similarity has focused mainly on the similarity of bases in the same position in the nucleic acid sequence. However, focusing only on the similarity of base sequences has limitations. This similarity evaluation considers only the one-dimensional similarity of ssDNA and cannot fully capture the three-dimensional (3D) structural consistency of aptamers for nucleic acids with 3D structures. Therefore, it is necessary to develop a program that can quickly and accurately evaluate the 3D spatial consistency of ssDNA. To this end, we designed a Visual-SELEX rapid response program, which uses a screening ssDNA sequence set enriched in the DKK1 protein for analysis. The program directly generates a stable 3D structure of ssDNA through coarse-grained simulation and molecular dynamics (MD) simulation, converts the structure into a point cloud model, and then analyzes the similarity of the spatial structure of ssDNA through point cloud model alignment and superposition. The analysis results show that Visual-SELEX can accurately match ssDNAs with dissimilar base fragments but similar 3D spatial structures, providing richer 3D spatial similarity information than sequence similarity comparison alone.
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ISSN:1757-6334
1757-6334
DOI:10.1142/S0219720025500106