Discovery, lead identification and exploration of potential oxadiazole derivatives in targeting STAT3 as anti-cancer agents.

In silico pharmacology Pub Date : 2024-09-14 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00261-w
Vivek Panwar, Sounok SenGupta, Saroj Kumar, Praveen P Singh, Arun Kumar, Shavkatjon Azizov, Manoj K Gupta, Deepak Kumar
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Abstract

Oxadiazoles an important heterocyclic scaffold of medicinal importance in the field of drug discovery. In the study, a library of oxadiazole based compounds was selected for screening against STAT-3 as anti-cancer target. STAT3 is a potential target of interest in cancer therapy. A total of 544 screened library of compounds was subjected to molecular docking against STAT-3 (6NJS and 6NQU). The compounds with good dock score and binding interations were further subjected to in-silico ADME analysis followed by toxicity estimation. A total of 141 hits were selected against 6NJS and 50 hits against 6NQU and further screened for kinetic properties and drug likeliness. The compounds were screened on the basis of physico-chemical properties, solubility, gastrointestinal absorption, BBB permeability, synthetic accessibility, Lipinski and other violations. Best compounds obtained after ADME analysis were further subjected for toxicity analysis. Carcinogenecity, mutagenicity, Ames and other important parameters were considered for toxicity based screening. The best leads thus obtained (compound 114 and 40) were further subjected to molecular dynamics against the respective target proteins. MD simulations were run to access the stability of C-114 and C-40 along with the dynamic behaviour of both complexes for about 100 ns and shows good stability with the proteins.

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发现、鉴定和探索以 STAT3 为靶向的潜在噁二唑衍生物作为抗癌药物。
噁二唑是一种重要的杂环支架,在药物发现领域具有重要的药用价值。在这项研究中,我们选择了一个恶二唑化合物库,针对 STAT-3 这一抗癌靶点进行筛选。STAT3 是癌症治疗的潜在靶点。共筛选出 544 个化合物库,并与 STAT-3(6NJS 和 6NQU)进行了分子对接。具有良好对接得分和结合界面的化合物将进一步进行体内 ADME 分析,然后进行毒性评估。共筛选出 141 个与 6NJS 结合的化合物和 50 个与 6NQU 结合的化合物,并对其动力学特性和药物相容性进行了进一步筛选。筛选化合物的依据包括理化性质、溶解性、胃肠道吸收性、BBB 渗透性、合成可得性、Lipinski 和其他违规情况。经 ADME 分析后获得的最佳化合物将进一步进行毒性分析。在进行毒性筛选时,考虑了致癌性、诱变性、Ames 和其他重要参数。对由此获得的最佳先导化合物(化合物 114 和 40)进一步进行了针对各自靶蛋白的分子动力学分析。通过运行 MD 模拟来了解 C-114 和 C-40 的稳定性,以及这两种复合物在约 100 毫微秒内的动态行为,结果表明这两种复合物在蛋白质中具有良好的稳定性。
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