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ChemScreener: A Distributed Computing Tool for Scaffold based Virtual Screening.

Muthukumarasamy Karthikeyan1, Deepak Pandit, Renu Vyas

  • 1Digital Information Resource Centre (DIRC) & Centre of Excellence in Scientific Computing (CoESC) CSIR-National Chemical Laboratory Pune - 411008 India. m.karthikeyan@ncl.res.in.

Combinatorial Chemistry & High Throughput Screening
|July 4, 2015
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Summary
This summary is machine-generated.

ChemScreener is a Java application for generating and screening virtual compound libraries. It aids in prioritizing drug candidates by analyzing chemical, pharmacophore, and toxicophore features, accelerating drug discovery.

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Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Drug discovery

Background:

  • Virtual screening and library generation are crucial for identifying potential drug candidates.
  • Existing software tools may struggle with the scale and complexity of large virtual libraries.
  • A platform-independent solution is needed for efficient in silico drug discovery.

Purpose of the Study:

  • To introduce ChemScreener, a Java-based application for integrated virtual library generation and screening.
  • To enable platform-independent, distributed computing for large-scale chemical library analysis.
  • To facilitate the prioritization of bioactive molecules using diverse chemical annotations.

Main Methods:

  • Developed ChemScreener with modules for scaffold identification, extraction, virtual library generation, and virtual screening.
  • Integrated chemophore, pharmacophore, and toxicophore-based annotation for compound prioritization.
  • Utilized a sample application to study scaffold properties and demonstrate computational power.

Main Results:

  • Successfully generated and annotated a virtual library of 118 million compounds from 55 anti-psychotic scaffolds.
  • Demonstrated the application's capability to handle large datasets (17 GB) efficiently in a single step.
  • Showcased the analysis of scaffold selectivity, diversity, connectivity, and promiscuity.

Conclusions:

  • ChemScreener provides a robust and scalable platform for virtual library generation and screening.
  • The application facilitates in silico drug discovery by integrating multiple analysis tools within a single framework.
  • ChemScreener addresses the computational challenges of analyzing massive chemical libraries, supporting efficient drug candidate prioritization.