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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
CHARMMing: a new, flexible web portal for CHARMM
Benjamin T Miller1, Rishi P Singh, Jeffery B Klauda
1Laboratory of Computational Biology, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
CHARMMing offers a user-friendly web portal for molecular simulations, simplifying preparation, submission, and visualization. This tool, including GENRTF and a job broker, aids newcomers in molecular modeling with proteins like 1YJP.
Area of Science:
- Computational Chemistry
- Structural Biology
- Bioinformatics
Background:
- Molecular modeling is crucial for understanding biological systems.
- Existing tools for molecular simulations can have steep learning curves.
- CHARMM is a widely used package for macromolecular modeling.
Purpose of the Study:
- To introduce CHARMMing, a new web portal for the CHARMM package.
- To provide a user-friendly interface for molecular simulations.
- To facilitate the use of grid and cluster computing for CHARMM simulations.
Main Methods:
- Development of a web portal (CHARMMing) with an integrated graphical user interface.
- Integration of GENRTF for defining non-standard force field features.
- Implementation of a job broker for portable grid and cluster computing.
- Demonstration of CHARMMing with protein simulations (1YJP, 1O1O, 1UFY).
Main Results:
- CHARMMing provides a streamlined workflow for molecular simulation preparation, submission, monitoring, and visualization.
- GENRTF extends CHARMM's force field capabilities.
- The job broker enables efficient use of distributed computing resources.
- The portal simplifies the introduction of new users to molecular modeling.
Conclusions:
- CHARMMing enhances accessibility to molecular modeling simulations.
- The integrated tools and user-friendly interface lower the barrier for researchers.
- CHARMMing supports advanced computational approaches like grid and cluster computing.
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