{"title":"Visual-SELEX: A technology ensemble for evaluating aptamer structural similarity via 3D visual spatial conformational analysis.","authors":"Nijia Wang","doi":"10.1142/S0219720025500106","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48910,"journal":{"name":"Journal of Bioinformatics and Computational Biology","volume":"23 4","pages":"2550010"},"PeriodicalIF":0.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bioinformatics and Computational Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1142/S0219720025500106","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information.
The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.