Biochemical text mining for advancing chemical and pharmaceutical knowledge

用于推进化学和制药知识的生化文本挖掘

• 批准号: LP160101469
• 负责人: Prof Trevor Cohn
• 金额: $ 35.16万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-06-28 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP160101469
• 关键词: Biochemical; text; mining; advancing; chemical

The project aims to develop novel natural language processing methods to find, extract and structure complex chemical reaction information in scientific literature. The project addresses a recognised bottleneck to efficiency in the drug discovery process, by enabling biochemical research results to be turned into actionable information. This has the potential to inform and accelerate development of effective drug treatments through the linking of relevant biochemical information. By delivering new methods that improve the compilation of knowledge about chemicals and drugs from textual information resources, the project hopes to enable faster drug discovery.

该项目旨在开发新的自然语言处理方法，以发现，提取和结构化科学文献中的复杂化学反应信息。该项目通过将生化研究结果转化为可操作的信息，解决了药物发现过程中公认的效率瓶颈。这有可能通过相关生物化学信息的链接来告知和加速有效药物治疗的开发。通过提供新的方法，改善从文本信息资源中汇编有关化学品和药物的知识，该项目希望能够更快地发现药物。