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

IF 0.7 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Nijia Wang
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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.

visual - selex:通过三维视觉空间构象分析评估适体结构相似性的技术集成。
迄今为止,对单链DNA (ssDNA)相似性的研究主要集中在核酸序列中相同位置碱基的相似性上。然而,仅关注碱基序列的相似性有其局限性。这种相似性评价只考虑了ssDNA的一维相似性,不能完全捕捉具有三维结构的核酸适体的三维(3D)结构一致性。因此,有必要开发一种能够快速准确评估ssDNA三维空间一致性的程序。为此,我们设计了Visual-SELEX快速反应程序,该程序使用富含DKK1蛋白的筛选ssDNA序列集进行分析。该程序通过粗粒度模拟和分子动力学(MD)模拟直接生成稳定的ssDNA三维结构,将该结构转化为点云模型,然后通过点云模型对齐和叠加分析ssDNA空间结构的相似性。分析结果表明,Visual-SELEX可以准确匹配具有不同碱基片段但三维空间结构相似的ssdna,提供比单独比较序列相似性更丰富的三维空间相似性信息。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
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.
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