Discovering a new drug costs more than a billion dollars and takes ten years or
more. So researchers are always looking for new ways to use computers to find
more promising candidate drugs. We present a promising new system that applies
the two-parameter persistent homology to the
complex task of finding good drug candidates, by finding similarities in the 3D
shapes of the molecules.