Fusing deep learning and physics-based modelling for drug discovery

融合深度学习和基于物理的建模进行药物发现

• 批准号: 544073-2019
• 负责人: Maccallum, Justin
• 金额: $ 1.82万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680733
• 关键词: Fusing; deep; learning; physics; based

ProteinQure is a Canadian technology company specializing in computational modelling for the pharmaceutical industry. They use sophisticated modelling approaches to help design new drugs. This proposal aims to extend ProteinQure's drug discovery pipeline by fusing recent advances in machine learning with physics-based modelling. This cutting edge combination of approaches will provide ProteinQure with a competitive advantage and will help to advance the pharmaceutical industry in Canada.

ProteinQure 是一家加拿大科技公司，专门从事制药行业的计算建模。他们使用复杂的建模方法来帮助设计新药。该提案旨在通过将机器学习的最新进展与基于物理的建模相融合来扩展 ProteinQure 的药物发现管道。这种尖端方法的组合将为 ProteinQure 提供竞争优势，并将有助于推动加拿大制药业的发展。