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In approaching a new area of simulation studies, a scientist is
faced with many decisions in order to begin making meaningful
progress toward his goal. One of the most common problems is
that the intended focus of a research project is often beyond
the reach of currently available simulation technology and
computer power. In this case, the researcher can either decide
to move on to something less challenging, try to develop new
techniques that directly address the target problem, or attempt
to find a simpler system that is still representative of
the main features of the original idea. This latter approach
tends to lead to the most continued progress towards a goal,
as taking these incremental steps can help "shape" the
technology into more advanced forms, while providing more
immediate feedback than jumping to an entirely different
paradigm.
In order to begin to gain insight into the phenomenon of ionic channels while employing well-understood theoretical methods, the Oxford researchers decided to study the M2 protein from the influenza virus. This protein is simple relative to other candidate proteins, but it still forms the ionic channels which are the target of the study. In order to generate the models to be studied, the scientists used simulated annealing (another classical method) to move the proteins into the correct starting configurations. The rest of the simulation system was basically an equilibrated configuration also obtained through MD simulation. Once the systems were set up, the scientists conducted MD simulations with periodic boundary conditions, under constant pressure. We won't delve into the results of these studies, for anyone wishing to see them and the concomitant conclusions of the authors may visit the web page above. However, it is encouraging to note that several trends and general insights can be gathered from these simulations that help to explain what's going on in ionic channels. Using Go To Page: 1 2
The copyright of the article Molecular Dynamics Simulation of Ionic Channels
in Scientific Computing is owned by . Permission to republish Molecular Dynamics Simulation of Ionic Channels
in print or online must be granted by the author in writing.
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