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We used jmol to create a viewer which represents each rotated, equilibrated, and re-<br />

docked structure as a single sphere. The location of this sphere in the three-axis<br />

coordinate system shown in the viewer corresponds to the σy⋅σx⋅σz rotation angles<br />

applied to obtain the structure. The color of the sphere corresponds to the estimated free<br />

energy of ligand binding for that conformer, with red=high and blue=low energy. With<br />

this viewer it is easy to see regions of pitch-yaw-roll space which contain low-binding-<br />

energy conformers.<br />

sRMSD benchmarking<br />

Once the alternate conformers have been generated by rotation, equilibration, and re-<br />

docking, we are faced with the problem of determining how distant these are from the<br />

known target conformer, in our case the protein from the co-crystallized complex.<br />

Simply computing the RMSD between the Cα atoms of the predicted structure and those<br />

of the co-crystallized protein is not effective, since M is undergoing significant changes<br />

but S is not. Maiorov et al. instead used a “static” root-mean-square deviation (sRMSD),<br />

defined as the RMSD of the Cα atoms in M, provided the Cα atoms of S are optimally<br />

superimposed. We use the same measure in the current work.<br />

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