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A molecular fragment cheminformatics roadmap for mesoscopic simulation.

Andreas Truszkowski1, Mirco Daniel2, Hubert Kuhn3

  • 1Inorganic Chemistry and Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, Essen, Germany.

Journal of Cheminformatics
|November 11, 2014
PubMed
Summary
This summary is machine-generated.

A new cheminformatics roadmap simplifies mesoscopic simulation, specifically Molecular Fragment Dynamics (MFD). This approach enhances accessibility and practical application of MFD and similar simulation techniques in molecular sciences.

Keywords:
Computer simulationDissipative particle dynamicsFragment smilesMesoscopic simulationMolecular fragment cheminformaticsMolecular fragment dynamicsMolecular fragmentationPeptide representationProtein representationfSmiles

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Area of Science:

  • Computational Chemistry
  • Cheminformatics
  • Molecular Dynamics

Background:

  • Mesoscopic simulation studies large molecular ensembles (millions of atoms) using molecular fragments as basic units.
  • Current mesoscopic simulation kernels use abstract representations, making setup tedious, time-consuming, and error-prone.
  • A cheminformatics approach is needed to enhance the accessibility and practical application of mesoscopic simulations.

Purpose of the Study:

  • To outline a complete cheminformatics roadmap for mesoscopic Molecular Fragment Dynamics (MFD) simulation kernel.
  • To enable efficient use and practical application of MFD simulations.
  • To address setup subtleties and conceptual usage hurdles in mesoscopic simulations.

Main Methods:

  • Developed a four-building-block cheminformatics roadmap for MFD.
  • Introduced a SMILES-like line notation (fSMILES) for molecular fragment structure representation.
  • Defined operations on fragment structures, compartment descriptions, and graphical setup/analysis tools.

Main Results:

  • The roadmap includes fragment structure representation (fSMILES), operations, compartment descriptions, and simulation box analysis.
  • Practical usage scenarios and examples are provided for the outlined concepts and methods.
  • Existing open-source cheminformatics software can partially fulfill the roadmap's requirements.

Conclusions:

  • A cheminformatics layer significantly alleviates and broadens the practical use of mesoscopic simulation techniques like MFD.
  • Molecular Fragment Cheminformatics acts as a crucial accelerator for MFD and similar mesoscopic simulation methods.
  • This approach enhances the propagation and adoption of advanced simulation techniques in molecular sciences.