Breast cancer chemical structures and their partition resolvability

Qingqun Huang; Adnan Khalil; Didar Abdulkhaleq Ali; Ali Ahmad; Ricai Luo; Muhammad Azeem; Qingqun Huang; Adnan Khalil; Didar Abdulkhaleq Ali; Ali Ahmad; Ricai Luo; Muhammad Azeem

doi:10.3934/mbe.2023180

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 2: 3838-3853. doi: 10.3934/mbe.2023180

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Breast cancer chemical structures and their partition resolvability

1.
School of Mathematics and Physics, Hechi University, Yizhou, Guangxi 456300, China
2.
Department Computer Sciences, Al-Razi Institute Saeed Park, Lahore Pakistan
3.
Department of Mathematics, Faculty of Science, University of Zakho, Zakho, Iraq
4.
College of Computer Science & Information Technology, Jazan University, Jazan, Saudi Arabia
5.
Department of Mathematics, Riphah International University Lahore, Pakistan

Academic Editor: José M. Rodríguez

Received: 05 October 2022 Revised: 12 November 2022 Accepted: 02 December 2022 Published: 12 December 2022

Cancer is a disease that causes abnormal cell formation and spreads throughout the body, causing harm to other organs. Breast cancer is the most common kind among many of cancers worldwide. Breast cancer affects women due to hormonal changes or genetic mutations in DNA. Breast cancer is one of the primary causes of cancer worldwide and the second biggest cause of cancer-related deaths in women. Metastasis development is primarily linked to mortality. Therefore, it is crucial for public health that the mechanisms involved in metastasis formation are identified. Pollution and the chemical environment are among the risk factors that are being indicated as impacting the signaling pathways involved in the construction and growth of metastatic tumor cells. Due to the high risk of mortality of breast cancer, breast cancer is potentially fatal, more research is required to tackle the deadliest disease. We considered different drug structures as chemical graphs in this research and computed the partition dimension. This can help to understand the chemical structure of various cancer drugs and develop formulation more efficiently.
- resolvability parameters,
- breast cancer structures,
- resolving set,
- locating set,
- locating number,
- partition resolving set
Citation: Qingqun Huang, Adnan Khalil, Didar Abdulkhaleq Ali, Ali Ahmad, Ricai Luo, Muhammad Azeem. Breast cancer chemical structures and their partition resolvability[J]. Mathematical Biosciences and Engineering, 2023, 20(2): 3838-3853. doi: 10.3934/mbe.2023180

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Abstract

Cancer is a disease that causes abnormal cell formation and spreads throughout the body, causing harm to other organs. Breast cancer is the most common kind among many of cancers worldwide. Breast cancer affects women due to hormonal changes or genetic mutations in DNA. Breast cancer is one of the primary causes of cancer worldwide and the second biggest cause of cancer-related deaths in women. Metastasis development is primarily linked to mortality. Therefore, it is crucial for public health that the mechanisms involved in metastasis formation are identified. Pollution and the chemical environment are among the risk factors that are being indicated as impacting the signaling pathways involved in the construction and growth of metastatic tumor cells. Due to the high risk of mortality of breast cancer, breast cancer is potentially fatal, more research is required to tackle the deadliest disease. We considered different drug structures as chemical graphs in this research and computed the partition dimension. This can help to understand the chemical structure of various cancer drugs and develop formulation more efficiently.

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