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乳腺癌化学结构及其分配分辨率。

Breast cancer chemical structures and their partition resolvability.

机构信息

School of Mathematics and Physics, Hechi University, Yizhou, Guangxi 456300, China.

Department Computer Sciences, Al-Razi Institute Saeed Park, Lahore Pakistan.

出版信息

Math Biosci Eng. 2023 Jan;20(2):3838-3853. doi: 10.3934/mbe.2023180. Epub 2022 Dec 12.

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.

摘要

癌症是一种导致异常细胞形成并在全身扩散的疾病,会对其他器官造成伤害。乳腺癌是全球众多癌症中最常见的一种。由于荷尔蒙变化或 DNA 中的基因突变,乳腺癌会影响女性。乳腺癌是全球癌症的主要原因之一,也是女性癌症相关死亡的第二大原因。转移的发展主要与死亡率相关。因此,确定转移形成涉及的机制对公共卫生至关重要。污染和化学环境是被认为影响构建和生长转移瘤细胞的信号通路的风险因素之一。由于乳腺癌的高死亡率风险,乳腺癌是潜在致命的,需要更多的研究来应对这种最致命的疾病。在这项研究中,我们将不同的药物结构视为化学图,并计算了分区维数。这有助于了解各种癌症药物的化学结构,并更有效地开发配方。

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