Quantum DFT analysis and molecular docking investigation of various potential breast cancer drugs

IF 6.1 3区 医学 Q1 MATERIALS SCIENCE, BIOMATERIALS
Md Ashraf Ayub, Ankit Raj Tyagi, Sunil Kumar Srivastava and Pranveer Singh
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引用次数: 0

Abstract

Breast cancer is among the deadliest cancers worldwide, highlighting the urgent need for effective treatments. This study employs density functional theory (DFT) and molecular docking analyses to evaluate the anti-cancer efficacy and specificity of drug molecules lapatinib, tucatinib, neratinib, anastrozole, and letrozole. DFT analysis provides comprehensive insights into the structural, electronic, optical, and vibrational properties of these drugs, helping to elucidate their molecular stability and reactivity through global reactivity descriptors. Additionally, molecular docking simulations reveal the binding conformations and interaction profiles of these drugs with key breast cancer targets, underscoring their therapeutic potential. Docking results indicate that lapatinib, tucatinib, and neratinib have high binding affinities for HER2, with lapatinib exhibiting the strongest overall binding, particularly with PDK1 (PDB ID: 1UU7), PAK4 (PDB ID: 2X4Z), GSK3 (PDB ID: 1GNG), and HER2 (PDB ID: 2IOK). The stable hydrogen bonding and other interactions observed with lapatinib support its effectiveness in treating HER2-positive breast cancers, tucatinib's selective HER2 binding reduces off-target effects, while neratinib's irreversible binding provides prolonged inhibition, making it useful for overcoming resistance in HER2-positive cases. In contrast, anastrozole and letrozole show lower binding affinities for HER2 and EGFR due to their simpler structures but are potent aromatase inhibitors, making them effective in treating estrogen receptor-positive (ER-positive) breast cancers. In conclusion, DFT and molecular docking studies affirm the suitability of lapatinib, tucatinib, and neratinib for HER2-positive cancers, while anastrozole and letrozole are effective in ER-positive cancers, emphasizing the role of molecular structure and binding affinity in optimizing cancer treatment strategies.

Abstract Image

各种潜在乳腺癌药物的量子 DFT 分析和分子对接研究。
乳腺癌是全球致死率最高的癌症之一,因此迫切需要有效的治疗方法。本研究采用密度泛函理论(DFT)和分子对接分析来评估药物分子拉帕替尼、图卡替尼、奈拉替尼、阿那曲唑和来曲唑的抗癌功效和特异性。DFT 分析全面揭示了这些药物的结构、电子、光学和振动特性,有助于通过全局反应性描述符阐明其分子稳定性和反应性。此外,分子对接模拟揭示了这些药物与关键乳腺癌靶点的结合构象和相互作用特征,凸显了它们的治疗潜力。对接结果表明,拉帕替尼、图卡替尼和奈拉替尼与HER2有很高的结合亲和力,其中拉帕替尼的整体结合力最强,特别是与PDK1(PDB ID:1UU7)、PAK4(PDB ID:2X4Z)、GSK3(PDB ID:1GNG)和HER2(PDB ID:2IOK)的结合力。拉帕替尼稳定的氢键和其他相互作用支持其治疗HER2阳性乳腺癌的有效性;图卡替尼选择性地与HER2结合可减少脱靶效应;而奈拉替尼不可逆的结合可延长抑制作用,使其有助于克服HER2阳性病例的耐药性。相比之下,阿那曲唑和来曲唑由于结构较简单,与HER2和表皮生长因子受体的结合亲和力较低,但却是强效的芳香化酶抑制剂,因此可有效治疗雌激素受体阳性(ER阳性)乳腺癌。总之,DFT和分子对接研究肯定了拉帕替尼、图卡替尼和奈拉替尼适用于HER2阳性癌症,而阿那曲唑和来曲唑则对ER阳性癌症有效,强调了分子结构和结合亲和力在优化癌症治疗策略中的作用。
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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来源期刊
Journal of Materials Chemistry B
Journal of Materials Chemistry B MATERIALS SCIENCE, BIOMATERIALS-
CiteScore
11.50
自引率
4.30%
发文量
866
期刊介绍: Journal of Materials Chemistry A, B & C cover high quality studies across all fields of materials chemistry. The journals focus on those theoretical or experimental studies that report new understanding, applications, properties and synthesis of materials. Journal of Materials Chemistry A, B & C are separated by the intended application of the material studied. Broadly, applications in energy and sustainability are of interest to Journal of Materials Chemistry A, applications in biology and medicine are of interest to Journal of Materials Chemistry B, and applications in optical, magnetic and electronic devices are of interest to Journal of Materials Chemistry C.Journal of Materials Chemistry B is a Transformative Journal and Plan S compliant. Example topic areas within the scope of Journal of Materials Chemistry B are listed below. This list is neither exhaustive nor exclusive: Antifouling coatings Biocompatible materials Bioelectronics Bioimaging Biomimetics Biomineralisation Bionics Biosensors Diagnostics Drug delivery Gene delivery Immunobiology Nanomedicine Regenerative medicine & Tissue engineering Scaffolds Soft robotics Stem cells Therapeutic devices
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