Polycystic ovarian syndrome is one of the leading causes for infertility in women. One in Five women of the population is affected by PCOS. The synthetic drugs currently used are targeted to provide an artificial support for the hormonal imbalance in the body which leads to various adverse effects. Natural herbs serve as a best remedy for many of the diseases as they cure the root cause and target the disease specifically. Selection of herbs is a crucial part in the formulation. In silico studies play an important role in analyzing the activity of the compound with the selected target. The herbs which had reported biological activity on uterus were selected and their vital chemical constituents were docked with the identified target of PDB ID 3RUK and 1E3K, respectively. The values obtained shows the potential effect of chemical constituent with the suitable target. Among the list of herbs selected, Sesamin from Sesamum indicum and lanosterol from Ficus religiosa had good binding affinity with both the selected proteins and had better drug likeliness properties. Hence, further studies on these compounds for targeting PCOS is expected to give potent activity and produce promising results.

中文翻译：

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通过计算机技术鉴定抗多囊卵巢综合征的植物成分

多囊卵巢综合征是导致女性不孕的主要原因之一。人口中有五分之一的女性受到 PCOS 的影响。目前使用的合成药物旨在为导致各种不良反应的体内荷尔蒙失调提供人工支持。天然草药是治疗许多疾病的最佳药物，因为它们可以治愈根本原因并专门针对疾病。草药的选择是配方中的关键部分。计算机模拟研究在分析化合物与选定目标的活性方面发挥着重要作用。选择已报告对子宫具有生物活性的草药，并将其重要化学成分分别与 PDB ID 3RUK 和 1E3K 的鉴定目标进行对接。获得的值显示了化学成分对合适目标的潜在影响。在选定的草药列表中，芝麻中的芝麻素和印度榕中的羊毛甾醇与两种选定的蛋白质具有良好的结合亲和力，具有更好的药物相似性。因此，对这些针对 PCOS 的化合物的进一步研究有望提供有效的活性并产生有希望的结果。