In-silico Binding, Stability, Pharmacokinetics, and Toxicity Studies on Natural (-)-ambrox Metabolites as Binding Ligands to Luminal B and Triple- Negative/basal-like Proteins for Breast Cancer Therapy

IF 1.2 4区 医学 Q4 CHEMISTRY, MEDICINAL
Abdullah Haikal, Neelaveni Thangavel, Mohammed Albratty, Asim Najmi, Hassan Ahmed Al Hazmi, Durgaramani Sivadasan, Gulrana Khuwaja, Israa M. Shamkh
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Abstract

Background:: Breast cancer is the most prevalent malignant tumour in women of all races and is the second largest cause of cancer-related death in the majority of races. Based on the pattern of gene expression, five intrinsic or molecular classifications for breast tumours are frequently used. Our research, which is presently being utilized to treat breast cancer and has the potential to significantly change the course of the illness, is focused on two of them: luminal B breast cancer and triplenegative/ basal-like breast cancer. Methods:: Screening a database containing millions of drug molecules or phytochemicals has become rapid and simple due to computer-aided drug design (CADD) techniques. In the current work, nine natural compounds were screened for ambrox from a sperm whale using docking research. Results:: Following docking studies, nine substances were discovered to interact with basal-like and luminal B breast cancer proteins. All nine metabolites, however, adhered to Lipinski's rule of five and had sufficient oral bioavailability. The greatest binding affinities were demonstrated by 13,14,15,16-tetranorlabdane-3-oxo-8,12-diol, 6-β-hydroxy ambrox, 1-α-hydroxy-3-oxoambrox, and 2-α-3-β-dihydroxy ambrox. Conclusion:: Therefore, it can be concluded that research on molecular docking and pharmacological mimics may hasten the discovery of new medications. The use of ambrox metabolites in the treatment of breast cancer also requires future perspectives on their therapeutic use.
将天然 (-)-ambrox 代谢物作为结合配体用于乳腺癌治疗的 Luminal B 蛋白和三阴性/基底样蛋白的分子内结合、稳定性、药代动力学和毒性研究
背景乳腺癌是所有种族妇女中发病率最高的恶性肿瘤,也是大多数种族中癌症相关死亡的第二大原因。根据基因表达模式,乳腺肿瘤通常有五种内在或分子分类。我们的研究重点是其中的两种:管腔 B 型乳腺癌和三倍体阴性/基底样乳腺癌,目前正用于治疗乳腺癌,并有可能极大地改变乳腺癌的病程。研究方法由于采用了计算机辅助药物设计(CADD)技术,筛选包含数百万药物分子或植物化学物质的数据库变得快速而简单。在目前的工作中,利用对接研究筛选了抹香鲸的九种天然化合物。结果::经过对接研究,发现九种物质可与基底样和管腔 B 乳腺癌蛋白相互作用。不过,所有九种代谢物都符合利平斯基的五种规则,并具有足够的口服生物利用度。13,14,15,16-tetranorlabdane-3-oxo-8,12-diol、6-β-hydroxy ambrox、1-α-hydroxy-3-oxoambrox 和 2-α-3-β-dihydroxy ambrox 的结合亲和力最强。结论因此,可以得出结论,分子对接和药理模拟研究可能会加速新药的发现。利用氨溴索代谢物治疗乳腺癌还需要对其治疗用途进行展望。
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来源期刊
CiteScore
1.80
自引率
10.00%
发文量
245
审稿时长
3 months
期刊介绍: Aims & Scope Letters in Drug Design & Discovery publishes letters, mini-reviews, highlights and guest edited thematic issues in all areas of rational drug design and discovery including medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, and structure-activity relationships. The emphasis is on publishing quality papers very rapidly by taking full advantage of latest Internet technology for both submission and review of manuscripts. The online journal is an essential reading to all pharmaceutical scientists involved in research in drug design and discovery.
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