Molecular modeling in the radiation therapy. The algebraic approach

Yuliia Tarasich, Vladislav Volkov, V.M.Glushkov
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Abstract

The rapid development of the chemical industry and science, and new challenges in the healthcare sector, put forward increased demands for the development of the theory of organic and inorganic chemistry, for the search and implementation of new modeling and analysis methods, and for the improvement of technological processes. One of the main challenges at the intersection of chemistry, physics, biol- ogy, medicine, and genetics is the search for new methods and approaches to the diagnosis and treatment of cancer. A deeper understanding of cancer’s genetics and molecular biology has led to the identification of an increasing number of potential molecular targets that can be used for the discovery and development of anticancer drugs, radiation therapy, etc. One of the main places in this is occupied by molecular modeling. Despite the availability of more and more data on existing proteins and nucleic acids and the availability of modeling methods and tools, the development and use of a wide variety of combined methods and tools for modeling and computing large molecular systems remain an open issue. One of the possible solutions for this problem is the application of the algebraic approach and the corresponding formal methods, which have proven effective in many other fields today. The main idea of the research is the application of algebraic modeling technology and quantum chemical apparatus for modeling and verification of organic chemistry problems, in particular, modeling and analysis of radiation therapy problems. The paper presents the first steps of the research. The example of the formalization of the synchrotron operation principle and the example of the interaction of protons with substance in the example of the determination/calculation of the physically absorbed dose are given in the paper.
放射治疗中的分子建模。代数方法
化学工业和科学的快速发展,以及医疗保健领域的新挑战,对有机和无机化学理论的发展,对寻找和实施新的建模和分析方法,以及对工艺流程的改进提出了更高的要求。化学、物理、生物学、医学和遗传学交叉领域的主要挑战之一是寻找诊断和治疗癌症的新方法和途径。对癌症遗传学和分子生物学的深入了解已经导致越来越多的潜在分子靶点的发现,这些靶点可用于发现和开发抗癌药物、放射治疗等。其中一个主要领域是分子建模。尽管现有蛋白质和核酸的数据越来越多,建模方法和工具也越来越多,但开发和使用各种各样的组合方法和工具来建模和计算大分子系统仍然是一个悬而未决的问题。解决这个问题的一个可能的方法是应用代数方法和相应的形式化方法,这些方法在许多其他领域已经被证明是有效的。本研究的主要思想是应用代数建模技术和量子化学仪器对有机化学问题进行建模和验证,特别是对放射治疗问题进行建模和分析。本文介绍了研究的第一步。文中给出了同步加速器工作原理形式化的实例和物理吸收剂量测定/计算实例中质子与物质相互作用的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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