Research in Scientific Computation - SERC
Research in Scientific Computation - SERC
Research in Scientific Computation - SERC
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Us<strong>in</strong>g plasticity maps to correlate prote<strong>in</strong> function<br />
• Structure and dynamics is conserved <strong>in</strong> evolution to ma<strong>in</strong>ta<strong>in</strong><br />
prote<strong>in</strong> function<br />
• Each prote<strong>in</strong> has its modes of motion characteristic to its<br />
function<br />
• The details of the <strong>in</strong>ternal motion can be captured <strong>in</strong><br />
plasticity maps to correlate function<br />
• Multiscale models needed to capture the characteristic<br />
dynamics of a prote<strong>in</strong><br />
• Proposed simulation methods: classical dynamics, normal<br />
mode analysis, constra<strong>in</strong>ed dynamics<br />
• Plasticityfunction correlations to be <strong>in</strong>tegrated <strong>in</strong> metaprediction<br />
framework to annotate prote<strong>in</strong>s