癌症药物信息学:数据库和分析工具
Pradnya Kamble1, Prinsa R Nagar1, Kaushikkumar A Bhakhar1
1Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, S.A.S. Nagar, Punjab, India.
这篇评论探讨了癌症大数据,突出了omics技术和数据库. 它强调药物信息学和计算工具,以发现新的癌症治疗方法.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 药理学 药理学是指药理学的学科.
背景情况:
- 癌症研究通过omics技术产生了大量的大数据.
- 数据库对于管理和组织各种癌症数据至关重要,包括基因组学,蛋白质组学和免疫学.
- 药物信息学是一个新兴的领域,应用计算工具来合理发现癌症药物.
研究的目的:
- 编目与癌症药物发现相关的数据库和计算工具.
- 突出这些资源在癌症药物信息学中的作用.
- 讨论用于识别新型治疗分子的计算方法的整合.
主要方法:
- 审查和编制现有的与癌症相关的数据库.
- 在癌症研究中使用的计算工具的识别和分类.
- 在药物信息学中应用统计方法和人工智能/机器学习的分析.
主要成果:
- 在基因组学,转录组学,蛋白质组学,代谢组学,免疫学和药物发现方面存在众多数据库.
- 药物信息学集成了结构建模,数据库分析和AI/ML用于药物发现.
- 软件工具对于oncoin信息学研究和癌症药物开发至关重要.
结论:
- 癌症大数据的有效管理和分析对于推进药物发现至关重要.
- 药物信息学,利用数据库和计算工具,在识别新型癌症治疗中发挥着关键作用.
- 本综述提供了一个资源目录,以帮助癌症药物发现和药物信息学研究人员.
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