A journey through mapping space: characterising the statistical and metric properties of reduced representations of macromolecules
Abstract
A mapping of a macromolecule is a prescription to construct a simplified representation of the system in which only a subset of its constituent atoms is retained. As the specific choice of the mapping affects the analysis of all-atom simulations as well as the construction of coarse-grained models, the characterisation of the mapping space has recently attracted increasing attention. We here introduce a notion of scalar product and distance between reduced representations, which allows the study of the metric and topological properties of their space in a quantitative manner. Making use of a Wang-Landau enhanced sampling algorithm, we exhaustively explore such space, and examine the qualitative features of mappings in terms of their squared norm. A one-to-one correspondence with an interacting lattice gas on a finite volume leads to the emergence of discontinuous phase transitions in mapping space, which mark the boundaries between qualitatively different reduced representations of the same molecule.
- Publication:
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European Physical Journal B
- Pub Date:
- October 2021
- DOI:
- 10.1140/epjb/s10051-021-00205-9
- arXiv:
- arXiv:2106.08223
- Bibcode:
- 2021EPJB...94..204M
- Keywords:
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- Condensed Matter - Soft Condensed Matter;
- Condensed Matter - Statistical Mechanics
- E-Print:
- doi:10.1140/epjb/s10051-021-00205-9