Literature DB >> 20134068

Converting biomolecular modelling data based on an XML representation.

Yudong Sun1, Steve McKeever.   

Abstract

Biomolecular modelling has provided computational simulation based methods for investigating biological processes from quantum chemical to cellular levels. Modelling such microscopic processes requires atomic description of a biological system and conducts in fine timesteps. Consequently the simulations are extremely computationally demanding. To tackle this limitation, different biomolecular models have to be integrated in order to achieve high-performance simulations. The integration of diverse biomolecular models needs to convert molecular data between different data representations of different models. This data conversion is often non-trivial, requires extensive human input and is inevitably error prone. In this paper we present an automated data conversion method for biomolecular simulations between molecular dynamics and quantum mechanics/molecular mechanics models. Our approach is developed around an XML data representation called BioSimML (Biomolecular Simulation Markup Language). BioSimML provides a domain specific data representation for biomolecular modelling which can effciently support data interoperability between different biomolecular simulation models and data formats.

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Year:  2008        PMID: 20134068     DOI: 10.2390/biecoll-jib-2008-95

Source DB:  PubMed          Journal:  J Integr Bioinform        ISSN: 1613-4516


  1 in total

1.  Data model, dictionaries, and desiderata for biomolecular simulation data indexing and sharing.

Authors:  Julien C Thibault; Daniel R Roe; Julio C Facelli; Thomas E Cheatham
Journal:  J Cheminform       Date:  2014-01-30       Impact factor: 5.514

  1 in total

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