Chemoinformatics Insights on Molecular Jackhammers and Cancer Cells.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-07-03 DOI:10.1021/acs.jcim.4c00806
Ciceron Ayala-Orozco, Hamid Teimouri, Angela Medvedeva, Bowen Li, Alex Lathem, Gang Li, Anatoly B Kolomeisky, James M Tour
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Abstract

One of the most challenging tasks in modern medicine is to find novel efficient cancer therapeutic methods with minimal side effects. The recent discovery of several classes of organic molecules known as "molecular jackhammers" is a promising development in this direction. It is known that these molecules can directly target and eliminate cancer cells with no impact on healthy tissues. However, the underlying microscopic picture remains poorly understood. We present a study that utilizes theoretical analysis together with experimental measurements to clarify the microscopic aspects of jackhammers' anticancer activities. Our physical-chemical approach combines statistical analysis with chemoinformatics methods to design and optimize molecular jackhammers. By correlating specific physical-chemical properties of these molecules with their abilities to kill cancer cells, several important structural features are identified and discussed. Although our theoretical analysis enhances understanding of the molecular interactions of jackhammers, it also highlights the need for further research to comprehensively elucidate their mechanisms and to develop a robust physical-chemical framework for the rational design of targeted anticancer drugs.

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化疗信息学对分子锤和癌细胞的启示
现代医学中最具挑战性的任务之一是寻找副作用最小的新型高效癌症治疗方法。最近发现的几类被称为 "分子锤 "的有机分子是这一方向上一个很有希望的发展。众所周知,这些分子可以直接靶向消除癌细胞,而对健康组织没有影响。然而,人们对其背后的微观图景仍然知之甚少。我们的研究利用理论分析和实验测量来阐明千层锤抗癌活性的微观方面。我们的物理化学方法将统计分析与化学信息学方法相结合,以设计和优化分子千层塔。通过将这些分子的特定物理化学特性与其杀死癌细胞的能力相关联,我们发现并讨论了几个重要的结构特征。虽然我们的理论分析加深了人们对 "千斤顶 "分子相互作用的理解,但它也强调了进一步研究的必要性,以全面阐明它们的作用机制,并为靶向抗癌药物的合理设计开发一个强大的物理化学框架。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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