Suppr超能文献

canSAR:癌症转化研究和药物发现知识库的更新。

canSAR: update to the cancer translational research and drug discovery knowledgebase.

机构信息

Department of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.

Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.

出版信息

Nucleic Acids Res. 2021 Jan 8;49(D1):D1074-D1082. doi: 10.1093/nar/gkaa1059.

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.

摘要

canSAR(http://cansar.icr.ac.uk)是最大的、公共的、免费的、综合性的转化研究和药物发现知识库,涵盖肿瘤学领域。canSAR 整合了来自基因组学、蛋白质组学、药理学、药物和化学数据以及结构生物学、蛋白质网络等多学科的大量数据。它还提供独特的数据、 curated 和注释,以及至关重要的人工智能驱动的药物发现目标评估。canSAR 在国际上被学术界和工业界广泛使用。在这里,我们以系统的新实现形式描述了 canSAR 的数据、网络界面和基础设施的重大发展和增强:canSARblack。我们展示了如何帮助生成转化假说和实验设计的新功能,并展示了如何在肿瘤学之外适应和利用 canSAR。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09e5/7778970/41b5be8808b9/gkaa1059fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验