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Updated: Jun 28, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

MMsINC: a large-scale chemoinformatics database.

Joel Masciocchi1, Gianfranco Frau, Marco Fanton

  • 1CRS4 - Bioinformatics Laboratory, Parco Sardegna Ricerche, Pula (CA) 09010, Italy.

Nucleic Acids Research
|October 22, 2008
PubMed
Summary
This summary is machine-generated.

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MMsINC is a unique chemical structure database offering high-quality, non-redundant entries with predicted properties. It supports advanced queries and integrates with major data sources for chemoinformatics and virtual screening.

Area of Science:

  • Chemoinformatics
  • Biomedical Informatics
  • Computational Chemistry

Background:

  • Databases of chemical structures are crucial for drug discovery and cheminformatics.
  • Existing databases may lack comprehensive annotations, uniqueness, or predicted biochemical properties.
  • There is a need for high-quality, curated chemical structure data with integrated property analysis.

Purpose of the Study:

  • To introduce MMsINC, a database of non-redundant, annotated chemical structures.
  • To provide in silico predicted molecular properties for biochemical profiling.
  • To offer advanced query functionalities for chemoinformatics applications.

Main Methods:

  • Curating a non-redundant set of chemical structures.
  • Analyzing chemical properties including ionization and tautomerization.

Related Experiment Videos

Last Updated: Jun 28, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

  • Performing in silico prediction of 24 key molecular properties.
  • Interfacing with external databases like PubChem, PDB, FDA, and ZINC.

    • Main Results:

    • MMsINC provides a high-quality, unique collection of chemical structures.
    • Each entry includes detailed chemical property analysis and predicted molecular properties.
    • The database supports diverse query types, including substructure and molecular scissoring.
    • MMsINC is integrated with major biomedical and chemical data repositories.

    Conclusions:

    • MMsINC serves as a valuable resource for chemoinformatics and virtual screening.
    • The database enhances the utility of chemical structure data through quality control and property prediction.
    • Its comprehensive features and interoperability make it a natural input for various research applications.