The multipole model (MM) uses an aspherical approach
to describe
electron density and can be used to interpret data from X-ray diffraction
in a more accurate manner than using the spherical approximation.
The MATTS (multipolar atom types from theory and statistical clustering)
data bank gathers MM parameters specific for atom types in proteins,
nucleic acids, and organic molecules. However, it was not fully understood
how the electron density of particular atoms responds to their surroundings
and which factors describe the electron density in molecules within
the MM. In this work, by applying clustering using descriptors available
in the MATTS data bank, that is, topology and multipole parameters,
we found the topology features with the biggest impact on the multipole
parameters: the element of the central atom, the number of first neighbors,
and planarity of the group. The similarities in the spatial distribution
of electron density between and within atom type classes revealed
distinct and unique atom types. The quality of existing types can
be improved by adding better parametrization, definitions, and local
coordinate systems. Future development of the MATTS data bank should
lead to a wider range of atom types necessary to construct the electron
density of any molecule.