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从 IMPPAT 数据库中的植物化学物质中鉴定潜在的蛋白激酶 Cα抑制剂,用于癌症治疗:虚拟筛选方法。

identification of potential protein kinase C alpha inhibitors from phytochemicals from IMPPAT database for anticancer therapeutics: a virtual screening approach.

机构信息

Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.

Department of Basic Medical Sciences, College of Applied Medical Sciences in Khamis Mushyt, King Khalid University, Abha, Saudi Arabia.

出版信息

J Biomol Struct Dyn. 2024 Nov;42(18):9463-9474. doi: 10.1080/07391102.2023.2252086. Epub 2023 Aug 29.

Abstract

Protein Kinase C alpha (PKCα) is a critical signaling molecule that plays a crucial role in various physiological processes, including cell growth, differentiation, and survival. Over the years, there has been a growing interest in targeting PKCα as a promising drug target for the treatment of various diseases, including cancer. Targeting PKCα can, therefore, serve as a potential strategy to prevent cancer progression and enhance the efficacy of conventional anticancer therapies. We conducted a systematic search for promising compounds for their anticancer potential that target PKCα using natural compounds from the IMPPAT database. The initial compounds were screened through various tests, including analysis of their physical and chemical properties, PAINS filter, ADMET analysis, PASS analysis, and specific interaction analysis. We selected those that showed high binding affinity and specificity to PKCα from the screened compounds, and we further analyzed them using molecular dynamics simulations (MDS) and principal component analysis (PCA). Various systematic parameters from the MDS analyses suggested that the protein-ligand complexes were stabilized throughout the simulation trajectories of 100 nanoseconds (ns). Our findings indicated that compounds Nicandrenone and Withaphysalin D bind to PKCα with high stability and affinity, making them potential candidates for further research in cancer therapeutics innovation in clinical contexts.Communicated by Ramaswamy H. Sarma.

摘要

蛋白激酶 C 阿尔法(PKCα)是一种关键的信号分子,在多种生理过程中发挥着重要作用,包括细胞生长、分化和存活。多年来,靶向 PKCα 作为治疗各种疾病(包括癌症)的有前途的药物靶点的兴趣日益浓厚。因此,靶向 PKCα 可以作为一种潜在的策略,以防止癌症进展并提高传统抗癌疗法的疗效。我们使用 IMPPAT 数据库中的天然化合物,针对其靶向 PKCα 的抗癌潜力,对有前途的化合物进行了系统搜索。最初的化合物通过各种测试进行筛选,包括分析它们的物理和化学性质、PAINS 过滤器、ADMET 分析、PASS 分析和特定相互作用分析。我们从筛选出的化合物中选择了那些对 PKCα 具有高结合亲和力和特异性的化合物,并用分子动力学模拟(MDS)和主成分分析(PCA)对它们进行了进一步分析。MDS 分析中的各种系统参数表明,在 100 纳秒(ns)的模拟轨迹中,蛋白质-配体复合物得到了稳定。我们的研究结果表明,化合物 Nicandrenone 和 Withaphysalin D 与 PKCα 结合具有高度稳定性和亲和力,使它们成为癌症治疗创新的进一步研究的潜在候选药物。

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