Coarse-Graining Methods for Computational Biology
Chicago Institute for Psychoanalysis · University of Chicago
Abstract
Connecting the molecular world to biology requires understanding how molecular-scale dynamics propagate upward in scale to define the function of biological structures. To address this challenge, multiscale approaches, including coarse-graining methods, become necessary. We discuss here the theoretical underpinnings and history of coarse-graining and summarize the state of the field, organizing key methodologies based on an emerging paradigm for multiscale theory and modeling of biomolecular systems. This framework involves an integrated, iterative approach to couple information from different scales. The primary steps, which coincide with key areas of method development, include developing first-pass…
Citation impact
- FWCI
- 21.83
- Percentile
- 100%
- References
- 73
Authors
2Topics & keywords
- Granularity
- Computer science
- Key (lock)
- Multiscale modeling
- Scale (ratio)
- Molecular dynamics
- Theoretical computer science
- Statistical physics