首页> 外文期刊>Bulletin of the National Research Centre >Computational pharmacokinetic analysis on some newly designed 2-anilinopyrimidine derivative compounds as anti-triple-negative breast cancer drug compounds
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Computational pharmacokinetic analysis on some newly designed 2-anilinopyrimidine derivative compounds as anti-triple-negative breast cancer drug compounds

机译:部分新设计的2-苯胺基嘧啶衍生物化合物作为抗三阴性乳腺癌药物化合物的计算药代动力学分析

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Abstract Introduction Worldwide, cancer of the breast is the most commonly diagnosed disease and the second leading cause of cancer-related mortality amongst women yearly (Miller et al., 2016). Computer-aided drug discovery (CADD) is a fundamental shortcut in drug discovery arena. CADD tools ascertain key molecule for testing, predicting the effectiveness, the possible side effect, and also assist in upgrading drug-likeliness of drug molecules (Leelananda and Lindert, 2016). The propose of carrying out this research is to design new 2-anilinopyrimidine derivative compounds based on the interaction of the derivative compounds (ligand) and thyroid hormone receptor (TRβ1), and also analyze their pharmacokinetic properties as drug compounds that would be used by the pharmaceuticals against triple-negative breast cancer (MDA-MB-468 cell line).Results Three compounds (12, 17, and 18) had the highest docking score ranging from − 7.3 to − 7.4 kcal/mol. This showed that the compounds (ligands) bind tightly with the active site of the thyroid hormone receptor (TRβ1). Based on their tight interactions with the receptor, the compounds were chosen as lead compounds in the design of fourteen new compounds by incorporating some fragments found to bind intensely with the active site of the thyroid hormone receptor (TRβ1). All the newly designed compounds passed the pharmacokinetic analysis (adsorption, distribution, metabolism, excretion, and other physicochemical test) passed the drug-likeness test, and they also adhered to the Lipinski rule of five.Conclusions New derivative compounds of 2-anilinopyrimidine against MDA-MB-468 cell line were designed based on the information obtained from the molecular docking studies. Furthermore, the pharmacokinetics analysis (adsorption, distribution, metabolism, excretion (ADME) and other physicochemical properties) carried out on the newly designed compounds showed this compounds can be made into oral drugs for patients with triple-negative breast cancer (MBA-MD-468 cell line) as they serve as most promising inhibitors against thyroid hormone receptor (TRβ1).
机译:摘要 引言 在世界范围内,乳腺癌是最常见的疾病,也是每年女性癌症相关死亡的第二大原因(Miller et al., 2016)。计算机辅助药物发现(CADD)是药物发现领域的一条基本捷径。CADD工具确定用于测试的关键分子,预测有效性,可能的副作用,并有助于提高药物分子的药物可能性(Leelananda和Lindert,2016)。本研究的拟点是,根据衍生化合物(配体)和甲状腺激素受体(TRβ1)的相互作用,设计新的2-苯胺基嘧啶衍生物,并分析其药代动力学特性,作为药物化合物用于治疗三阴性乳腺癌(MDA-MB-468细胞系)。结果 3种化合物(12、17和18)的对接得分最高,范围为-7.3--7.4 kcal/mol。这表明化合物(配体)与甲状腺激素受体(TRβ1)的活性位点紧密结合。基于它们与受体的紧密相互作用,这些化合物被选为14种新化合物设计的先导化合物,通过掺入一些与甲状腺激素受体(TRβ1)活性位点强烈结合的片段。所有新设计的化合物都通过了药代动力学分析(吸附、分布、代谢、排泄等理化测试),通过了药物相似性测试,并且还遵循了Lipinski五法则。结论 基于分子对接研究获得的信息,设计了针对MDA-MB-468细胞系的2-苯胺基嘧啶新型衍生物。此外,对新设计的化合物进行的药代动力学分析(吸附、分布、代谢、排泄(ADME)和其他理化性质)表明,该化合物可以制成三阴性乳腺癌(MBA-MD-468细胞系)患者的口服药物,因为它们是最有希望的甲状腺激素受体(TRβ1)抑制剂。

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