激酶药物发现:开放科学和人工智能的影响
Filip Miljković1, Jürgen Bajorath2
1Medicinal Chemistry, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Pepparedsleden 1, SE-43183 Gothenburg, Sweden.
Molecular pharmaceutics
|September 6, 2024
概括
蛋白激酶 (PKs) 是癌症的关键. 数据科学和人工智能加速了PK抑制剂 (PKIs) 的发现,改善了对PK依赖疾病的药物开发.
科学领域:
- 生物化学 生化学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 蛋白激酶 (PKs) 在细胞信号转导中发挥着中心作用,并且由于异常信号传递,它们与癌症的发展有关.
- PKs是主要的治疗点,小分子抑制剂 (PKIs) 是PK-依赖性疾病的首选干预策略.
研究的目的:
- 讨论开放科学和数据科学在蛋白质激酶抑制剂 (PKI) 药物发现中的相互作用.
- 审查示范性研究和人工智能 (AI) 对PK药物发现的影响.
主要方法:
- 审查公开可用的PK/PKI数据,包括X射线结构和化合物活性数据.
- 对基因组概况和PKI选择性/放荡性的分析.
- 对药物研究中的人工智能方法进行检查,以发现PK药物.
主要成果:
- 广泛的PK/PKI数据,包括结构信息,是公开可访问的,促进研究.
- 数据科学方法,专业数据库和在线资源支持PK药物发现.
- 人工智能越来越多地应用于PK药物发现,因为现有的数据丰富.
结论:
- 开放和数据科学倡议对于推动PK药物发现至关重要.
- 人工智能方法显示出影响和加速新型PKI发展的巨大潜力.
- 丰富的数据 PK 目标的性质使得它们非常适合人工智能驱动的制药研究.
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