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

页数：19

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