Mining and Analysis of Structural Relationships in the Evolution of Biological Sequence Variation
GAO Shengzhao
CHEN Zhangzhao
HAN Jing
CHEN Weiru
ZHANG Xue
Abstract：Structural relation refers to the concurrent relation,exclusive relation and associated relation among sequences,which also exists in biological sequences.Structural relation mining can extract these relations and transform them into valuable in-formation.Data mining technology and bioinformation technology are combined to extract the mutation points and excavate the struc-tural relation of biological sequences.As a test case,the COVID-19 sequence is selected as the mining object to mine the S protein sequence of Delta(B.1.617.2)mutant strains in five countries.It is found that these sequences had variation relative to the B.1 refer-ence sequence,and there are concurrent relation,exclusive relation and associated relation among these variation points.The bio-logical analysis of the experimental results,combined with the existing literature on viral infectivity and vaccine effectiveness,con-firms that the structural relation of the mutation points obtained by mining has biological significance.
Keywords：biological sequencestructural relationconcurrent relationexclusive relationassociated relation
Publication Date：2025-09-20
Online Publishing Date：2025-12-23(First online date of this platform, not the publication date of the document)
Pages：6( 2428-2432,2454 )