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Related Experiment Videos

Competitive Workflow: novel software architecture for automating drug design.

John Cartmell1, Damjan Krstajic, David E Leahy

  • 1Cyprotex plc, 13-15 Beech Lane, Macclesfield SK10 4TG, UK.

Current Opinion in Drug Discovery & Development
|June 9, 2007
PubMed
Summary

Automating expert decision-making in drug discovery is crucial. Competitive Workflow, a multi-agent system, models expert knowledge to optimize data analysis and improve decision quality in laboratory processes.

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Automation of decision making in drug design.

Drug discovery today. Technologies·2013

Area of Science:

  • Computational chemistry
  • Artificial intelligence in drug discovery
  • Bioinformatics

Background:

  • Industrialization of laboratory processes in drug discovery generates vast data.
  • Current decision-making relies on limited expert individuals, creating bottlenecks.
  • Information management systems and computer-aided molecular design show promise but are limited by human decision-making.

Purpose of the Study:

  • To introduce Competitive Workflow, a distributed multi-agent system for automating expert decision-making.
  • To extend workflow architectures by modeling tacit expert knowledge for pathway selection.
  • To review related workflow management systems and multi-agent approaches.

Main Methods:

  • Development of a distributed multi-agent system (Competitive Workflow).

Related Experiment Videos

  • Integration of workflow architectures with models of expert tacit knowledge.
  • Application of the 'Discovery Bus' implementation to meta-quantitative structure-activity relationship analysis.

    • Main Results:

    • Competitive Workflow automates decision-making, addressing a key bottleneck in drug discovery.
    • The system models expert knowledge for selecting alternative pathways within workflows.
    • Demonstrated application in meta-quantitative structure-activity relationship analysis.

    Conclusions:

    • Automating expert decision-making through systems like Competitive Workflow can significantly enhance drug discovery productivity.
    • Distributed multi-agent systems offer a scalable solution for complex decision processes.
    • The 'Discovery Bus' implementation shows practical utility in advanced cheminformatics tasks.