Abstract

canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and more. It also provides unique data, curation and annotation and crucially, AI-informed target assessment for drug discovery. canSAR is widely used internationally by academia and industry. Here we describe significant developments and enhancements to the data, web interface and infrastructure of canSAR in the form of the new implementation of the system: canSARblack. We demonstrate new functionality in aiding translation hypothesis generation and experimental design, and show how canSAR can be adapted and utilised outside oncology.

中文翻译：

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canSAR：癌症转化研究和药物发现知识库的更新

 抽象的

canSAR (http://cansar.icr.ac.uk) 是最大的、公共的、免费提供的肿瘤学综合转化研究和药物发现知识库。 canSAR 将来自基因组、蛋白质、药理学、药物和化学数据的大量多学科数据与结构生物学、蛋白质网络等整合在一起。它还提供独特的数据、管理和注释，最重要的是，为药物发现提供基于人工智能的目标评估。 canSAR在国际上被学术界和工业界广泛使用。在这里，我们以系统新实现的形式描述了 canSAR 的数据、网络界面和基础设施的重大发展和增强：canSAR black 。我们展示了帮助翻译假设生成和实验设计的新功能，并展示了 canSAR 如何在肿瘤学之外进行调整和利用。