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Chemical Space: Big Data Challenge for Molecular Diversity.

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This study reviews computational tools for drug discovery, including chemical universe databases (GDB) and virtual screening methods. These resources aid in identifying potent inhibitors and predicting off-target effects for drug development.

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Area of Science:

  • Computational chemistry and cheminformatics
  • Drug discovery and medicinal chemistry
  • Bioinformatics and data science

Background:

  • Chemical space encompasses all possible molecules, with vast portions accessible in public databases.
  • Drug discovery faces big data challenges due to computational power, storage, and data access limitations.
  • Exploring chemical space is crucial for identifying novel therapeutic agents.

Purpose of the Study:

  • To review recent advancements in computational tools for exploring chemical space.
  • To present methods for ligand-based virtual screening and polypharmacology prediction.
  • To showcase applications in discovering selective inhibitors and visualizing chemical data.

Main Methods:

  • Utilized chemical universe databases (GDB) and fragment databases (FDB-17).
  • Employed ligand-based virtual screening via nearest neighbor searches and multi-fingerprint browsing (ZINC database).
  • Developed polypharmacology browser (PPB) for off-target effect prediction and 3D visualization tools (WebDrugCS, WebMolCS).

Main Results:

  • Successfully applied methods to discover potent and selective inhibitors for calcium channel TRPV6 and Aurora A kinase.
  • Demonstrated the utility of polypharmacology browser for predicting potential off-target interactions.
  • Provided interactive 3D visualization of chemical space for enhanced data exploration.

Conclusions:

  • The developed computational resources (GDB, FDB-17, PPB, WebDrugCS, WebMolCS) significantly aid drug discovery.
  • These tools facilitate efficient screening, identification of selective inhibitors, and prediction of drug interactions.
  • All resources are publicly available, promoting open science and accelerating therapeutic development.