Predictive analysis of vitiligo treatment drugs using degree and neighborhood degree-based topological descriptors

被引:0
|
作者
Zhang, Xiujun [1 ,4 ]
Balasubramaniyan, Deepa [2 ]
Chidambaram, Natarajan [2 ]
Ravi, Vignesh [3 ]
机构
[1] Chengdu Polytech, Sch Artificial Intelligence, Chengdu 610041, Sichuan, Peoples R China
[2] SASTRA Deemed Be Univ, Srinivasa Ramanujan Ctr, Dept Math, Kumbakonam 612001, Tamil Nadu, India
[3] SASTRA Deemed be Univ, Sch Arts Sci Humanities & Educ, Dept Math, Thanjavur 613401, Tamil Nadu, India
[4] Chengdu Univ, Sch Comp Sci, Chengdu 610106, Sichuan, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Degree; Neighborhood Degree; Topological Descriptors; Vitiligo; QSPR Analysis; INDEXES;
D O I
10.1038/s41598-025-89603-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Vitiligo is a chronic autoimmune condition that leads to the loss of skin pigmentation in certain areas due to the destruction of melanocytes, which produce pigment. A topological index is a numerical value obtained from the structure of a chemical graph and is useful for studying the theoretical characteristics of organic molecules. It can also help determine the physico-chemical and biological aspects of various drugs. This article uses novel neighborhood degree-based topological indices to study vitiligo drugs and demonstrates a strong correlation with physico-chemical properties. Additionally, the results are compared with those obtained through degree-based topological indices.
引用
收藏
页数:19
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