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Computational Hit Finding: An Industry Perspective

  • 0Integrated Drug Discovery, Molecular Design Sciences, Sanofi, Vitry-sur-Seine 91380, France.
Journal of Medicinal Chemistry +

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May 20, 2025

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May 20, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Computational hit finding, including virtual screening, is rapidly evolving. New technologies like ultralarge libraries and AI are transforming drug discovery workflows, offering more efficient and cost-effective approaches.

Area Of Science

  • Drug Discovery
  • Computational Chemistry

Background

  • Virtual screening is a key computational method in drug discovery, complementing experimental approaches.
  • Innovation in virtual screening had slowed due to mature technologies and limited library sizes.
  • Recent advancements in computing power and AI are driving significant changes in the field.

Purpose Of The Study

  • To provide a guide from industry experts on the evolving landscape of computational hit finding.
  • To offer practical recommendations for developing effective virtual screening workflows.
  • To discuss strategies for risk mitigation, success criteria, and emerging technologies in drug discovery.

Main Methods

  • Summarizing key aspects of the changing computational hit finding landscape.
  • Providing practical recommendations for building end-to-end screening workflows.
  • Discussing strategies for risk mitigation and defining success criteria.

Main Results

  • The field of computational hit finding is undergoing a major transformation.
  • Emerging technologies like ultralarge virtual libraries and AI are enhancing screening capabilities.
  • Industry practitioners offer insights into optimizing workflows and navigating challenges.

Conclusions

  • The integration of advanced computational tools is revolutionizing drug discovery pipelines.
  • Strategic implementation of new technologies can improve the efficiency and success of hit finding.
  • Continuous adaptation to emerging technologies is crucial for future drug discovery efforts.

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