Zanni Riccardo, Galvez-Llompart Maria, Morell Cecilia, Rodríguez-Henche Nieves, Díaz-Laviada Inés, Recio-Iglesias Maria Carmen, Garcia-Domenech Ramon, Galvez Jorge
Department of Physical Chemistry, School of Pharmacy, University of Valencia, Valencia, Spain; Department of Pharmacology, School of Pharmacy, University of Valencia, Valencia, Spain.
Department of System Biology, Biochemistry and Molecular Biology Unit, School of Medicine, University of Alcala, Alcalá de Henares, Spain.
PLoS One. 2015 Apr 24;10(4):e0124244. doi: 10.1371/journal.pone.0124244. eCollection 2015.
Colorectal and prostate cancers are two of the most common types and cause of a high rate of deaths worldwide. Therefore, any strategy to stop or at least slacken the development and progression of malignant cells is an important therapeutic choice. The aim of the present work is the identification of novel cancer chemotherapy agents. Nowadays, many different drug discovery approaches are available, but this paper focuses on Molecular Topology, which has already demonstrated its extraordinary efficacy in this field, particularly in the identification of new hit and lead compounds against cancer. This methodology uses the graph theoretical formalism to numerically characterize molecular structures through the so called topological indices. Once obtained a specific framework, it allows the construction of complex mathematical models that can be used to predict physical, chemical or biological properties of compounds. In addition, Molecular Topology is highly efficient in selecting and designing new hit and lead drugs. According to the aforementioned, Molecular Topology has been applied here for the construction of specific Akt/mTOR and β-catenin inhibition mathematical models in order to identify and select novel antitumor agents.
Based on the results obtained by the selected mathematical models, six novel potential inhibitors of the Akt/mTOR and β-catenin pathways were identified. These compounds were then tested in vitro to confirm their biological activity.
Five of the selected compounds, CAS n° 256378-54-8 (Inhibitor n°1), 663203-38-1 (Inhibitor n°2), 247079-73-8 (Inhibitor n°3), 689769-86-6 (Inhibitor n°4) and 431925-096 (Inhibitor n°6) gave positive responses and resulted to be active for Akt/mTOR and/or β-catenin inhibition. This study confirms once again the Molecular Topology's reliability and efficacy to find out novel drugs in the field of cancer.
结直肠癌和前列腺癌是全球最常见的两种癌症类型,也是导致高死亡率的原因。因此,任何阻止或至少减缓恶性细胞发展和进展的策略都是重要的治疗选择。本研究的目的是鉴定新型癌症化疗药物。如今,有许多不同的药物发现方法,但本文重点关注分子拓扑学,它已在该领域证明了其非凡的功效,特别是在鉴定针对癌症的新的活性化合物和先导化合物方面。这种方法使用图论形式主义,通过所谓的拓扑指数对分子结构进行数值表征。一旦获得特定框架,它就允许构建复杂的数学模型,可用于预测化合物的物理、化学或生物学性质。此外,分子拓扑学在选择和设计新的活性化合物和先导药物方面效率很高。根据上述内容,分子拓扑学已应用于此,构建特定的Akt/mTOR和β-连环蛋白抑制数学模型,以鉴定和选择新型抗肿瘤药物。
基于所选数学模型获得的结果,鉴定出六种新型的Akt/mTOR和β-连环蛋白途径潜在抑制剂。然后对这些化合物进行体外测试,以确认其生物活性。
所选的五种化合物,CAS编号256378-54-8(抑制剂编号1)、663203-38-1(抑制剂编号2)、247079-73-8(抑制剂编号3)、689769-86-6(抑制剂编号4)和431925-096(抑制剂编号6)给出了阳性反应,并被证明对Akt/mTOR和/或β-连环蛋白抑制具有活性。本研究再次证实了分子拓扑学在癌症领域发现新药方面的可靠性和有效性。