通过结合的多复杂基的药模拟,相互作用研究和分子动力学模拟来识别对CDK9酶的天然产品抑制剂
Amar Ghosh1, Shreya Mukherjee1, Prakash C Jha1
1School of Applied Material Sciences, Central University of Gujarat, Gandhinagar, 382030, India.
Computers in biology and medicine
|May 27, 2023
概括
研究人员通过模拟CDK9酶开发了新的抗癌药物. 虚拟查和分子动力学模拟确定了七个独特的支架,有可能开发新的CDK9抑制剂.
科学领域:
- 药用化学 医学化学
- 计算机化药物发现技术
- 分子建模分子建模
背景情况:
- 循环素依赖酶9 (CDK9) 是细胞循环进展和转录中的关键调节剂.
- CDK9的失调与各种癌症有关,使其成为一个重要的治疗点.
- 对于针对CDK9的癌症治疗,需要有效的小分子抑制剂.
研究的目的:
- 识别针对CDK9酶的具有潜在抗癌活性的新型小分子支架.
- 利用计算方法进行潜在的CDK9抑制剂的in silico选和验证.
主要方法:
- 基于多复杂的药模拟被用来生成CDK9酶的特征模型.
- 对类似药物候选物的虚拟选是使用六个特征的药模型进行的.
- 分子对接,HYDE评估,分子动力学模拟和MM-PBSA计算用于验证和稳定性分析.
主要成果:
- 产生和验证了具有五,四和六个特征的药理学模型.
- 虚拟选通过从780个过化合物中通过分子对接识别了205种类似药物的候选物.
- 9名候选人通过了HYDE评估,随后的模拟证实了7个独特的脚手架的稳定行为.
结论:
- 七个独特的分子支架被确定为开发新型CDK9抑制剂的有希望的起点.
- 这些支架显示出开发针对CDK9.9的新抗癌药物的潜力.
- 这项研究为发现酶抑制剂提供了一个计算框架.
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