自然产品的结构活动关系的质询方法的进步,机遇和挑战
Christine Mae F Ancajas1, Abiodun S Oyedele1, Caitlin M Butt1
1Department of Chemistry, Vanderbilt University, Nashville, TN, USA. allison.s.walker@vanderbilt.edu.
Natural product reports
|June 24, 2024
概括
在探索天然产品药物发现方面,本文详细介绍了理解结构-活性关系 (SARs) 的方法. 计算方法和合成是优化自然产品治疗用途的关键.
科学领域:
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
- 自然产品 化学 化学
背景情况:
- 天然产品在药物发现中至关重要,可以作为直接药物或合成起点.
- 许多天然产品由于活性或药理动力学不佳,需要进行治疗性修改.
- 了解结构-活性关系 (SAR) 对于优化天然产品候选药物至关重要.
研究的目的:
- 审查目前研究天然产品SARS的方法.
- 突出现有方法的局限性和挑战.
- 专注于用于SAR阐明的计算方法的应用.
主要方法:
- 合成方法:总合成,后期衍生物化,化学酶途径,生物合成途径工程和基因组挖掘.
- 计算方法:用于基因产品活动的机器学习,计算机辅助药物设计 (CADD) 和可解释的人工智能 (AI).
- 从化学结构预测生物活性的模型中分析SARs.
主要成果:
- 合成提供了类比,但也面临着挑战.
- 计算方法,特别是机器学习和人工智能,为SAR分析提供了有前途的途径.
- 现有的SAR研究方法是互补的.
结论:
- 合成和计算方法的结合是必要的,以全面了解天然产品SARs.
- 合作的努力对于推进天然产品药物发现至关重要.
- 进一步研究计算SAR阐明是有必要的.
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