一个计算机辅助的洞察力,以识别显著的治疗性黄作为一个有前途的代理人为sarcopenic肥胖症
Sarvesh Sabarathinam1,2, Sanjana Satheesh3, Arun Raja4
1Drug Testing Laboratory, Interdisciplinary Institute of Indian System of Medicine (IIISM), SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.
Natural product research
|July 12, 2023
概括
这项研究通过分析它们的特性和对myostatin进行分子对接来确定对sarcopenic肥胖症的潜在flavone药物. 这些发现有助于发现这种慢性疾病的新疗法.
科学领域:
- 生物化学和药理学 生物化学和药理学
- 药物发现和开发 药物发现和开发
背景情况:
- 多,包括黄,是具有显著生理作用的植物化学物质.
- 黄在治疗糖尿病和肥胖症等慢性疾病方面表现有前途.
研究的目的:
- 根据药物相似性和药理动力学特性识别和过黄.
- 通过分子对接来评估选择的黄的肌静止素抑制潜力.
主要方法:
- 生物信息学分析以选黄化合物.
- 在基分子对抗肌态素标的对接 (PDB:3HH2).
主要成果:
- 鉴定具有有利的药理动力学特征的药物类黄.
- 分子对接揭示了某些类黄素的潜在肌胺抑制活性.
结论:
- 基于黄的化合物显示出作为治疗肥胖症的治疗剂的潜力.
- 计算机辅助药物设计促进了用于新药发现的分子的选择.
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