I have been looking into 3D collision detection, but found that it mostly included using bounding boxes, which are not ideal for oddly shape molecules.
SVMs look very promising, as I only ever need to do the training case because I know which set my data points belong to.
As for data sets, they are merely several lists of the xyz coordinates of atoms in a molecule oriented in 3D.
...
44.886 -49.990 3.963
45.086 -50.645 1.973
45.120 -51.934 3.208
43.604 -51.123 2.800
...
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