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The hinge locations themselves were chosen such that rotations of the structural domains<br />

about the hinge points could approximately reproduce the motions observed in the<br />

morph. Thus these are points of flexibility that permit twisting as well as bending.<br />

Integration of HingeMaster<br />

StoneHinge<br />

Having introduced the novel hNM family of predictors, we move on to describe the<br />

existing predictors. The first of these is StoneHinge, which predicts hinges using the<br />

FIRST algorithm as implemented in the freely available ProFlex software. ProFlex is<br />

designed to analyze flexibility in proteins and uses a 3D constraint counting algorithm<br />

arising from rigidity and graph theory. This approach ultimately derives from the<br />

structural engineering work of James Clerk Maxwell[77], designed to assess whether the<br />

trusswork of a bridge would be adequate to ensure stability. The same concepts have<br />

been shown to be mathematically robust for analyzing the 3-dimensional covalent and<br />

non-covalent bond networks in proteins[78]. The FIRST algorithm[79] thus counts local<br />

degrees of bond-rotational freedom. This divides the protein into two types of regions:<br />

those that are constrained and therefore rigid, and those that are underconstrained and<br />

therefore free to rotate. A rigid region consists of a group of atoms that do not move<br />

relative to each other due to the constraints of the bond network. However, two rigid<br />

regions may move relative to each other, like two stones connected by a flexible tether.<br />

172

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