School of BioSciences and Technology, Vellore Institute of Technology, 632014, Vellore, Tamil Nadu, India.
Mol Biotechnol. 2024 Apr;66(4):718-736. doi: 10.1007/s12033-023-00680-8. Epub 2023 Feb 3.
Triple-negative breast cancer (TNBC), is diagnosed as the most lethal molecular subtype of breast cancer (BC) preceded by an extremely poor prognosis. For enabling effective TNBC therapy, the identification of novel druggable biomarkers is an earnest need. Multigene paneling and genomewide association studies identify multiple genes with high-to-moderate penetrance in TNBC. Modern computer-aided drug designing techniques, thus aim to design more cost-effective natural small molecule inhibitors for TNBC prevention and diagnosis. Here Amygdalin, a natural glycosidic inhibitor is docked and simulated against three such high-to-moderate penetrance genes identified in TNBC, BARD1, RAD51, and PALB2. The preliminary result of the analysis, reports a highest, intermediate, and least binding energy score of - 6.69 kcal/mol, - 5.09 kcal/mol, and - 4.89 kcal/mol in BARD1, RAD51, and PALB2, respectively. The best-docked protein-ligand complex (BARD1-Amygdalin) was then simulated and compared with an approved drug for TNBC treatment, Olaparib. A comparable binding energy score of - 8.53 kcal/mol was obtained by docking olaparib with BARD1. A 100 ns MD simulation revealed, Amygdalin forms more H-bonds, providing more stable and compact protein-ligand complex with BARD1 than compared to Olaparib. The result was also supported by calculation of solvent accessible surface area and analysis of radius of gyration. Thus, our findings suggest that role of Amygdalin can further be studied in details for TNBC therapeutics, which was found to target the BRCT domain of the BARD1 receptor in stable manner. Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary. Name and affiliations are correctly identified.
三阴性乳腺癌(TNBC)是诊断为乳腺癌(BC)最致命的分子亚型,预后极差。为了实现有效的 TNBC 治疗,需要识别新的可药物治疗的生物标志物。多基因paneling 和全基因组关联研究确定了 TNBC 中多个具有高至中等外显率的基因。现代计算机辅助药物设计技术旨在设计更具成本效益的天然小分子抑制剂,用于 TNBC 的预防和诊断。在这里,苦杏仁苷,一种天然糖苷抑制剂,被对接并模拟针对 TNBC 中鉴定的三个具有高至中等外显率的基因,即 BARD1、RAD51 和 PALB2。分析的初步结果报告了 BARD1、RAD51 和 PALB2 中最高、中等和最低的结合能评分分别为-6.69 kcal/mol、-5.09 kcal/mol 和-4.89 kcal/mol。然后模拟并比较了与 TNBC 治疗的一种已批准药物奥拉帕利(Olaparib)的最佳对接蛋白-配体复合物(BARD1-苦杏仁苷)。通过将奥拉帕利与 BARD1 对接,获得了相当的结合能评分-8.53 kcal/mol。100 ns MD 模拟表明,与奥拉帕利相比,苦杏仁苷与 BARD1 形成更多氢键,提供更稳定和紧凑的蛋白-配体复合物。这一结果也得到了溶剂可及表面积的计算和旋转半径分析的支持。因此,我们的研究结果表明,苦杏仁苷在 TNBC 治疗中的作用可以进一步详细研究,因为它被发现以稳定的方式靶向 BARD1 受体的 BRCT 结构域。请检查并确认作者及其各自的所属机构是否已正确识别,如果有必要,请进行更正。名称和所属机构已正确识别。