课题基金 / 基金详情

Fragment-Screen: From fragments to high affinity binders interfacing integrated structural biology, medicinal chemistry and artificial intelligence

Fragment-Screen: From fragments to high affinity binders interfacing integrated structural biology, medicinal chemistry and artificial intelligence
片段筛选:从片段到连接集成结构生物学、药物化学和人工智能的高亲和力结合剂
批准号:
10055557
负责人:
金额:
$24.16万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Fragment-Screen will develop innovative instrumentation, workflows and experimental and computational methodologies for fragmentbased drug discovery (FBDD) enabling access to early phase structure-based drug discovery for all biological targets and for scientists both in industry and academia. The established workflows will use structural biology insights and associated data to feed artificial intelligence (AI) methodology to guide medicinal chemistry in drug development. Fragment-Screen brings together scientists from four ESFRI Landmark research infrastructures (RIs): ESRF (the European synchrotron) and the distributed RIs EU-OPENSCREEN ERIC (medicinal chemistry), ELIXIR (data resources for life science) under the coordination of Instruct-ERIC (integrated structural biology) and seven industry partners in scientific instrumentation and computational and AI sectors including SMEs to remove crucial bottlenecks in early phase drug discovery. The new instrumentation and workflows will be available at European RIs, while the new instruments will be commercialised to increase the technological competitiveness of European industry in drug design and the attractiveness of structural biology RIs for the pharmaceutical and biotech sectors. Fragment-Screen will implement open science approaches in early drug discovery to maximise the impact of screening campaigns. Generated data will be made accessible so that iterative cycles applying AI will improve response times for drug discovery. We will create a framework for the objective and independent evaluation of AI in drug design to identify critical developments in this thriving research field. Methodologies for rigorous cross-validation will be established through demonstrator and pilot studies and results will be disseminated to the large scientific communities affiliated to the European RIs and beyond.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
基于CRISPR-Screen模型对肿瘤相关巨噬细胞通过GFRA1非经典途径促进胃癌肝转移的机制探索
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    54.7万元
  • 批准年份:
    2021
  • 负责人:
    张子臻
  • 依托单位: