Name
Abstract | ||
|---|---|---|
We rigorously study a channel that maps sequences from a finite alphabet to self-avoiding walks in the 2-D grid, inspired by a model of protein folding from statistical physics and studied empirically by biophysicists. This channel, which we call the Boltzmann sequence-structure channel, is characterized by a Boltzmann/Gibbs distribution with a free parameter corresponding to temperature. In our p... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JPROC.2016.2608797 | Proceedings of the IEEE |
Keywords | Field | DocType |
Boltzmann distribution,Information theory,Biological system modeling,Temperature distribution,Amino acids | Statistical physics,Boltzmann distribution,H-theorem,Configuration entropy,Boltzmann's entropy formula,Conditional entropy,Entropy (information theory),Channel capacity,Mathematics,Maximum entropy probability distribution | Journal |
Volume | Issue | ISSN |
105 | 2 | 0018-9219 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abram Magner | 1 | 3 | 7.24 |
| Daisuke Kihara | 2 | 278 | 23.45 |
| Wojciech Szpankowski | 3 | 1557 | 192.33 |