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充分利用每一个 SAR 点:为大规模整合结构和生物活性数据而开发的 Chemistry Connect。

Making every SAR point count: the development of Chemistry Connect for the large-scale integration of structure and bioactivity data.

机构信息

DECS Computational Sciences, AstraZeneca R&D Mölndal, S-431 83 Mölndal, Sweden.

出版信息

Drug Discov Today. 2011 Dec;16(23-24):1019-30. doi: 10.1016/j.drudis.2011.10.005. Epub 2011 Oct 14.

Abstract

The increase in drug research output from patent applications, together with the expansion of public data collections, such as ChEMBL and PubChem BioAssay, has made it essential for pharmaceutical companies to integrate both internal and external 'SAR estate'. The AstraZeneca response has been the development of an enterprise application, Chemistry Connect, containing 45 million unique chemical structures from 18 internal and external data sources. It includes merged compound-to-assay-to-result-to-target relationships extracted from patents, papers and internal data. Users can explore connections between these by searching using drug names or synonyms, chemical structures, patent numbers and target protein identifiers at a scale not previously available.

摘要

随着专利申请中药物研究产出的增加,以及 ChEMBL 和 PubChem BioAssay 等公共数据集的扩展,制药公司必须整合内部和外部的“SAR 资产”。阿斯利康的应对措施是开发一个企业应用程序 Chemistry Connect,其中包含 4500 万个来自 18 个内部和外部数据源的独特化学结构。它包括从专利、论文和内部数据中提取的合并化合物-测定-结果-靶标关系。用户可以通过使用药物名称或同义词、化学结构、专利号和靶蛋白标识符进行搜索,以前所未有的规模探索这些关系之间的联系。

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