Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties.

ABSTRACT: This study computes M-polynomial indices for Daunorubicin, an anthracycline antibiotic, is a potent anticancer agent used in treating various malignancies, including acute myeloid leukemia, acute lymphoblastic leukemia and breast cancer. We calculated M-polynomial indices using the edge partition of graphs based on degree and adjacency matrix. A Python code is developed based on an adjacency matrix to efficiently compute the indices that reduce calculation time from days to minutes and eliminate human error. Quantitative structure-property relationships are established using Multiple Linear, Ridge, Lasso, ElasticNet and Support Vector Regression in Python software to predict breast cancer drugs' physical properties. Our results demonstrate that M-polynomial indices accurately predict physi

SUBMITTER: Tawhari QM 

PROVIDER: S-EPMC12365213 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature