Sehrawat Renu, Rathee Priyanka, Rathee Pooja, Khatkar Sarita, Akkol Esra Küpeli, Khatkar Anurag, Sobarzo-Sánchez Eduardo
School of Medical and Allied Sciences, K. R. Mangalam University, Gurugram, Haryana, India.
Faculty of Pharmaceutical Sciences, Baba Mastnath University, Rohtak, India.
Front Pharmacol. 2023 Dec 12;14:1266833. doi: 10.3389/fphar.2023.1266833. eCollection 2023.
Cancer is a vast group of diseases comprising abnormal cells that multiply and grow uncontrollably, and it is one of the top causes of death globally. Several types of cancers are diagnosed, but the incidence of breast cancer, especially in postmenopausal women, is increasing daily. Chemotherapeutic agents used to treat cancer are generally associated with severe side effects on host cells, which has led to a search for safe and potential alternatives. Therefore, the present research has been conducted to find novel bioactive molecules to treat breast cancer with chlorogenic acid and its derivatives. Chlorogenic acid was selected because of its known activity in the field. Several chlorogenic acid derivatives were subjected to computational studies such as molecular docking, determination of absorption, distribution, metabolism, and excretion (ADME), druglikeness, toxicity, and prediction of activity spectra for substances (PASS) to develop a potential inhibitor of breast cancer. The Protein Data Bank (PDB) IDs used for docking purposes were 7KCD, 3ERT, 6CHZ, 3HB5, and 1U72. Exhaustive analysis of results has been conducted by considering various parameters, like docking score, binding energy, types of interaction with important amino acid residues in the binding pocket, ADME, and toxicity data of compounds. Among all the selected derivatives, CgE18, CgE11, CgAm13, CgE16, and CgE9 have astonishing interactions, excellent binding energy, and better stability in the active site of targeted proteins. The docking scores of compound CgE18 were -11.63 kcal/mol, -14.15 kcal/mol, and -12.90 kcal/mol against breast cancer PDB IDs 7KCD, 3HB5, and 1U72, respectively. The docking scores of compound CgE11 were -10.77 kcal/mol and -9.11 kcal/mol against breast cancer PDB IDs 3ERT and 6CHZ, respectively, whereas the docking scores of epirubicin hydrochloride were -3.85 kcal/mol, -6.4 kcal/mol, -8.76 kcal/mol, and -10.5 kcal/mol against PDB IDs 7KCD, 3ERT, 6CHZ, and 3HB5. The docking scores of 5-fluorouracil were found to be -5.25 kcal/mol, -3.43 kcal/mol, -3.73 kcal/mol, and -5.29 kcal/mol against PDB IDs 7KCD, 3ERT, 6CHZ, and 3HB5, which indicates the designed compounds have a better docking score than some standard drugs. Taking into account the results of molecular docking, drug likeness analysis, absorption, distribution, metabolism, excretion, and toxicity (ADMET) evaluation, and PASS, it can be concluded that chlorogenic acid derivatives hold promise as potent inhibitors for the treatment of breast cancer.
癌症是一大类疾病,由异常细胞组成,这些细胞会不受控制地增殖和生长,它是全球主要死因之一。已诊断出多种类型的癌症,但乳腺癌的发病率,尤其是绝经后女性中的发病率,正在逐日上升。用于治疗癌症的化疗药物通常会对宿主细胞产生严重的副作用,这促使人们寻找安全且有潜力的替代药物。因此,本研究旨在寻找用绿原酸及其衍生物治疗乳腺癌的新型生物活性分子。选择绿原酸是因为其在该领域已知的活性。对几种绿原酸衍生物进行了计算研究,如分子对接、吸收、分布、代谢和排泄(ADME)测定、类药性、毒性以及物质活性谱预测(PASS),以开发一种潜在的乳腺癌抑制剂。用于对接的蛋白质数据库(PDB)ID 为 7KCD、3ERT、6CHZ、3HB5 和 1U72。通过考虑各种参数,如对接分数、结合能、与结合口袋中重要氨基酸残基的相互作用类型、ADME 和化合物的毒性数据,对结果进行了详尽分析。在所有选定的衍生物中,CgE18、CgE11、CgAm13、CgE16 和 CgE9 具有惊人的相互作用、出色的结合能以及在靶向蛋白活性位点更好的稳定性。化合物 CgE18 针对乳腺癌 PDB ID 7KCD、3HB5 和 1U72 的对接分数分别为 -11.63 kcal/mol、-14.15 kcal/mol 和 -12.90 kcal/mol。化合物 CgE11 针对乳腺癌 PDB ID 3ERT 和 6CHZ 的对接分数分别为 -10.77 kcal/mol 和 -9.11 kcal/mol,而盐酸表柔比星针对 PDB ID 7KCD、3ERT、6CHZ 和 3HB5 的对接分数分别为 -3.85 kcal/mol、-6.4 kcal/mol、-8.76 kcal/mol 和 -10.5 kcal/mol。5-氟尿嘧啶针对 PDB ID 7KCD、3ERT、6CHZ 和 3HB5 的对接分数分别为 -5.25 kcal/mol、-3.43 kcal/mol、-3.73 kcal/mol 和 -5.29 kcal/mol,这表明所设计的化合物比一些标准药物具有更好的对接分数。考虑到分子对接、类药性分析、吸收、分布、代谢、排泄和毒性(ADMET)评估以及 PASS 的结果,可以得出结论,绿原酸衍生物有望成为治疗乳腺癌的有效抑制剂。