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The research projects in the Simmerling lab require powerful computers in order to obtain precise data for a fairly complex energy function. Our group is one of the core development teams for the Amber package, which we use for most of our simulations. Visualization is typically performed using programs such as VMD or MOIL-View. Since calculations on large biomolecular systems are very computationally demanding, we use supercomputer resources at the NSF-funded national centers. In particular, a large fraction of our work is generated at NCSA, which has excellent hardware along with an outstanding support team. The SGI computer company has also donated computer time that has been very valuable for our work.
 
Software development
  •         Amber package for molecular simulation                 
  •         Moil-view  (molecular visualization program for SGI workstations)
Computer resources            Other software that we use extensively .
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Computational Structural Biology

        The goals of a computational chemist are to accurately simulate known properties of molecules, assist in the refinement and interpretation of experimental data and predict the results of future experiments. While quantum mechanical methods can be highly accurate, they are limited in that they currently cannot be applied to large systems such as proteins and nucleic acids, and little or no explicit solvent can be included in the calculations. Since the research in my lab involves relatively large biomolecular systems (such as proteins and nucleic acids) where specific interactions with solvent molecules are often important, we use the methods of molecular mechanics. Typical calculations involve molecular dynamics of the molecule of interest along with thousands of explicit solvent molecules, where the behavior of the molecule as a function of time is used to determine kinetic and thermodynamic properties of the system. These simulations can provide an atomic-detail picture of the behavior of a single molecule, rather than the time- and ensemble-averaged views that come from most experiments.



Carlos Simmerling  Department of Chemistry  State University of New York  Stony Brook, NY 11794-3400

(631) 632-1336 (voice)
(631) 632-7960 (fax)    
carlos.simmerling@sunysb.edu

© 2006 Carlos Simmerling . All Rights Reserved.