  The generation of conformers has been a long-standing interest to structural
chemists and biologists alike. A subset of proteins known as intrinsically
disordered proteins (IDPs) fail to exhibit a fixed structure and, therefore,
must also be studied in this light of conformer generation. Unlike in the small
molecule setting, ground truth data are sparse in the IDP setting, undermining
many existing conformer generation methods that rely on such data for training.
Boltzmann generators, trained solely on the energy function, serve as an
alternative but display a mode collapse that similarly preclude their direct
application to IDPs. We investigate the potential of training an RL Boltzmann
generator against a closely related "Gibbs score," and demonstrate that
conformer coverage does not track well with such training. This suggests that
the inadequacy of solely training against the energy is independent of the
modeling modality
