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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.
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页数:19
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