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Information Theory in Molecular Evolution: From Models to Structures and Dynamics
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This Special Issue collects novel contributions from scientists in the interdisciplinary field of biomolecular evolution. Works listed here use information theoretical concepts as a core but are tightly integrated with the study of molecular processes. Applications include the analysis of phylogenetic signals to elucidate biomolecular structure and function, the study and quantification of structural dynamics and allostery, as well as models of molecular interaction specificity inspired by evolutionary cues.
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Keywords
- allostery
- bacterial signaling
- Biology, Life Sciences
- Brownian process
- catalytic mechanism
- Chaos
- Co-Evolution
- coevolutionary analysis
- conformational changes
- contact prediction
- cumulative sum
- DD-transpeptidase
- direct coupling analysis
- direct-coupling analysis
- elastic network model
- Entropy
- Epistasis
- Evolution
- evolutionary coupling analysis
- fitness landscape
- interaction specificity
- Kolmogorov complexity
- Mathematics & science
- maximum entropy models
- monofractal
- mutational phenotypes
- n/a
- non-linear
- PBP-A
- Phosphorylation
- phylogenetic bias
- phylogeny
- power law
- protein conformational dynamics
- protein contact predictions
- Protein Engineering
- Reference, information & interdisciplinary subjects
- Research & information: general
- sequence analysis
- sequence reweighting
- specificity determining contacts
- statistical inference
- TEM-1
- TOHO-1
Links
DOI: 10.3390/books978-3-0365-1212-9Editions