Singh Nivedita, Singh Anil Kumar
Department of Dravyaguna, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India.
J Biol Eng. 2024 Oct 23;18(1):59. doi: 10.1186/s13036-024-00456-x.
Cerebroside sulfotransferase (CST) is considered as therapeutic target for substrate reduction therapy (SRT) for metachromatic leukodystrophy (MLD). The present study evaluates the therapeutic potential of 57 phytoconstituents of Withania somnifera against CST. Using binding score cutoff ≤-7.0 kcal/mol, top 10 compounds were screened and after ADME and toxicity-based screening, Withasomidienone, 2,4-methylene-cholesterol, and 2,3-Didehydrosomnifericin were identified as safe and potent drug candidates for CST inhibition. Key substrate binding site residues involved in interaction were LYS82, LYS85, SER89, TYR176, PHE170, PHE177. Four steroidal Lactone-based withanolide backbone of these compounds played a critical role in stabilizing their position in the active site pocket. 100 ns molecular dynamics simulation and subsequent trajectory analysis through structural deviation and compactness, principal components, free energy landscape and correlation matrix confirmed the stability of CST-2,3-Didehydrosomnifericin complex throughout the simulation and therefore is considered as the most potent drug candidate for CST inhibition and Withasomidienone as the second most potent drug candidate. The reverse pharmacophore analysis further confirmed the specificity of these two compounds towards CST as no major cross targets were identified. Thus, identified compounds in this study strongly present their candidature for oral drug and provide route for further development of more specific CST inhibitors.
脑苷脂硫酸转移酶(CST)被认为是异染性脑白质营养不良(MLD)底物减少疗法(SRT)的治疗靶点。本研究评估了睡茄的57种植物成分对CST的治疗潜力。使用结合分数截止值≤ -7.0千卡/摩尔,筛选出前10种化合物,经过药物代谢动力学(ADME)和基于毒性的筛选后,睡茄二烯酮、2,4-亚甲基胆固醇和2,3-脱氢睡茄素被确定为抑制CST的安全且有效的候选药物。参与相互作用的关键底物结合位点残基为LYS82、LYS85、SER89、TYR176、PHE170、PHE177。这些化合物基于甾体内酯的四种睡茄内酯骨架在稳定其在活性位点口袋中的位置方面发挥了关键作用。100纳秒的分子动力学模拟以及随后通过结构偏差和紧密性、主成分、自由能景观和相关矩阵进行的轨迹分析证实了在整个模拟过程中CST - 2,3 - 脱氢睡茄素复合物的稳定性,因此被认为是抑制CST最有效的候选药物,睡茄二烯酮是第二有效的候选药物。反向药效团分析进一步证实了这两种化合物对CST的特异性,因为未发现主要的交叉靶点。因此,本研究中鉴定出的化合物有力地展示了它们作为口服药物的候选资格,并为进一步开发更特异的CST抑制剂提供了途径。