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Brugia Malayi - Clark Science Center - Smith College

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Developing a Method for DNA Sequence-based Rigidity Analysis<br />

Emily Flynn<br />

This summer, I extended KINARI-Web to perform rigidity analysis on nucleic acids and protein-nucleic acid complexes with<br />

known structures. KINARI-Web 1 is a freely available server for protein rigidity analysis developed by Professor Streinu’s research<br />

group (Linkage Lab) at <strong>Smith</strong> <strong>College</strong>. Many structures in the Protein Data Bank (PDB), including viruses and ribosomes,<br />

were crystallized with both proteins and nucleic acids present. Previously, KINARI could only analyze the protein portion<br />

of the structure, but with the extension I developed, it can now identify the rigid and flexible regions in the entire complex.<br />

KINARI works by inputting a PDB file and then processes the file to identify of covalent and non-covalent interactions within<br />

the macromolecule. A mechanical model is created using these interactions, and rigidity analysis is run using the pebble game<br />

algorithm. The results of rigidity analysis can then be viewed in a JMol based visualizer. In order to extend KINARI to analyze<br />

DNA and RNA, functionality was added to identify the structures present in a PDB file, and place covalent bonds accordingly.<br />

The procedures for identifying non-covalent interactions, specifically hydrogen bonds and hydrophobic interactions, were also<br />

adapted to recognize nucleic acids.<br />

In addition, I began developing a method to analyze the rigidity of DNA molecules from sequence alone. There are a huge<br />

number of DNA sequences available (>135 million in GenBank), but relatively few DNA structures (

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