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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

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