对于未经表征的化学化合物而言,具有立体化学意识的生物活性描述符.
Arnau Comajuncosa-Creus1, Aksel Lenes1, Miguel Sánchez-Palomino1
1Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain.
Journal of cheminformatics
|June 18, 2024
概括
立体化学显著影响药物活性,约40%的立体异构体表现出明显的生物活性. 新的深度学习模型产生立体化学意识描述符,以更好地预测小分子生物活性.
科学领域:
- 药用化学 医学化学
- 计算化学的计算化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 立体化学在药理学中至关重要,影响药物的有效性和安全性.
- 了解固态异构体特定的生物活性对于药物发现和开发至关重要.
研究的目的:
- 在大量分子数据集中系统地研究立体异构和生物活性之间的关系.
- 开发新的深度学习模型,用于生成刻板化学意识的生物活性描述符.
- 评估这些描述符在区分立体同位素和预测它们的结合特征方面的能力.
主要方法:
- 对100多万种化合物的分析,以量化立体异构体之间的生物活性差异.
- 使用3D分子表示来训练深度神经网络 (Signaturizers3D).
- 在区分立体异构体和预测目标结合时评价描述器性能.
主要成果:
- 大约40%的立体同位素对表现出明显的生物活性.
- Signaturizers 3D 模型成功生成生物活性描述符,捕捉不同生物复杂度级别的效应.
- 开发的描述符可以准确地区分立体同位素和它们的目标结合配置文件.
结论:
- 立体化学意识描述符提供了更忠实地表示小分子生物活性.
- 这些描述符有效地捕捉了立体同位素活性中的关键差异.
- 该方法通过结合立体化学信息来推进小分子生物活性的预测.
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