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CHARMM: the biomolecular simulation program
B R Brooks1, C L Brooks, A D Mackerell
1Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. brbrooks@helix.nih.gov
Journal of Computational Chemistry
|May 16, 2009
Summary
CHARMM (Chemistry at HARvard Molecular Mechanics) is a versatile molecular simulation program for biological molecules. It offers advanced tools for conformational analysis, free energy estimation, and dynamics, supporting diverse applications in computational chemistry.
Area of Science:
- Computational chemistry and molecular modeling.
- Biophysics and structural biology.
- Materials science and condensed matter physics.
Background:
- CHARMM (Chemistry at HARvard Molecular Mechanics) is a long-standing, widely adopted molecular simulation program.
- Developed over three decades, it primarily targets molecules of biological interest, including proteins, nucleic acids, and lipids.
- Its versatility extends to various environments like solutions, crystals, and membranes.
Purpose of the Study:
- To provide a comprehensive overview of the CHARMM program as it stands today.
- To highlight key developments and advancements in CHARMM since its initial publication in 1983.
- To showcase the program's extensive capabilities for molecular simulation and analysis.
Main Methods:
- Utilizes a broad suite of computational tools for conformational and path sampling.
- Incorporates methods for free energy estimation, molecular minimization, and dynamics.
- Supports various energy functions and models, including QM/MM, all-atom classical, and implicit solvent models.
Main Results:
- CHARMM offers extensive capabilities for studying biological molecules and broader many-particle systems.
- The program supports diverse simulation approaches, from explicit solvent to implicit membrane models.
- It is available on numerous platforms, supporting both serial and parallel computing architectures.
Conclusions:
- CHARMM remains a powerful and adaptable tool for molecular simulation across various scientific disciplines.
- Continuous development ensures its relevance for cutting-edge research in computational chemistry and biology.
- Its broad applicability and extensive feature set make it invaluable for complex system analysis.

