Information Theory in Molecular Evolution: From Models to Structures and Dynamics

Information Theory in Molecular Evolution: From Models to Structures and Dynamics

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 phylogenet...

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Bibliographic Details
Other Authors: Morcos, Faruck (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Research & information: general
Biology, life sciences
power law
Brownian process
Kolmogorov complexity
entropy
chaos
monofractal
non-linear
cumulative sum
sequence analysis
protein engineering
direct coupling analysis
evolutionary coupling analysis
contact prediction
phylogenetic bias
phylogeny
co-evolution
coevolutionary analysis
direct-coupling analysis
specificity determining contacts
sequence reweighting
maximum entropy models
protein contact predictions
TEM-1
TOHO-1
PBP-A
DD-transpeptidase
conformational changes
catalytic mechanism
evolution
epistasis
allostery
elastic network model
protein conformational dynamics
statistical inference
mutational phenotypes
interaction specificity
phosphorylation
fitness landscape
bacterial signaling
n/a
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Description
Summary: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.
Physical Description:1 electronic resource (135 p.)
ISBN:books978-3-0365-1212-9
9783036512136
9783036512129
Access:Open Access

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