Suppr超能文献

基于喹啉的分子对 MEK1 变构位点的计算靶向。

Computational targeting of allosteric site of MEK1 by quinoline-based molecules.

机构信息

Structural Bioinformatics Lab, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur, Himachal Pradesh, India.

Biotechnology Division, CSIR-IHBT, Palampur, Himachal Pradesh, India.

出版信息

Cell Biochem Funct. 2022 Jul;40(5):481-490. doi: 10.1002/cbf.3709. Epub 2022 May 23.

Abstract

MEK1 is an attractive target due to its role in selective extracellular-signal-regulated kinase phosphorylation, which plays a pivotal role in regulating cell proliferation. Another benefit of targeting the MEK protein is its unique hydrophobic pocket that can accommodate highly selective allosteric inhibitors. To date, various MEK1 inhibitors have reached clinical trials against several cancers, but they were discarded due to their severe toxicity and low efficacy. Thus, the development of allosteric inhibitors for MEK1 is the demand of the hour. In this in-silico study, molecular docking, long-term molecular dynamics (5 µs), and molecular mechanics Poisson-Boltzmann surface area analysis were undertaken to address the potential of quinolines as allosteric inhibitors. We selected four reference MEK1 inhibitors for the comparative analysis. The drug-likeness and toxicity of these molecules were also examined based on their ADMET and Toxicity Prediction by Komputer Assisted Technology profiles. The outcome of the analysis revealed that the quinolines (4m, 4o, 4s, and 4n) exhibited better stability and binding affinity while being nontoxic compared to reference inhibitors. We have reached the conclusion that these quinoline molecules could be checked by experimental studies to validate their use as allosteric inhibitors against MEK1.

摘要

MEK1 是一个有吸引力的靶点,因为它在选择性细胞外信号调节激酶磷酸化中发挥作用,这在调节细胞增殖中起着关键作用。靶向 MEK 蛋白的另一个好处是其独特的疏水性口袋,可以容纳高度选择性的变构抑制剂。迄今为止,各种 MEK1 抑制剂已针对多种癌症进入临床试验,但由于其严重的毒性和低疗效而被淘汰。因此,开发 MEK1 的变构抑制剂是当务之急。在这项计算机模拟研究中,我们进行了分子对接、长期分子动力学(5µs)和分子力学泊松-玻尔兹曼表面面积分析,以研究喹啉作为变构抑制剂的潜力。我们选择了四种参考 MEK1 抑制剂进行比较分析。还根据它们的 ADMET 和 Komputer Assisted Technology 毒性预测 profile 检查了这些分子的药物样性质和毒性。分析结果表明,与参考抑制剂相比,喹啉(4m、4o、4s 和 4n)表现出更好的稳定性和结合亲和力,同时毒性较低。我们得出结论,这些喹啉分子可以通过实验研究来验证它们作为 MEK1 变构抑制剂的用途。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验