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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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 03049naaaa2200781uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_76347 | ||
| 005 | 20220111 | ||
| 020 | |a books978-3-0365-1212-9 | ||
| 020 | |a 9783036512136 | ||
| 020 | |a 9783036512129 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-1212-9 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 072 | 7 | |a PS |2 bicssc | |
| 100 | 1 | |a Morcos, Faruck |4 edt | |
| 700 | 1 | |a Morcos, Faruck |4 oth | |
| 245 | 1 | 0 | |a Information Theory in Molecular Evolution: From Models to Structures and Dynamics |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (135 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Biology, life sciences |2 bicssc | |
| 653 | |a power law | ||
| 653 | |a Brownian process | ||
| 653 | |a Kolmogorov complexity | ||
| 653 | |a entropy | ||
| 653 | |a chaos | ||
| 653 | |a monofractal | ||
| 653 | |a non-linear | ||
| 653 | |a cumulative sum | ||
| 653 | |a sequence analysis | ||
| 653 | |a protein engineering | ||
| 653 | |a direct coupling analysis | ||
| 653 | |a evolutionary coupling analysis | ||
| 653 | |a contact prediction | ||
| 653 | |a phylogenetic bias | ||
| 653 | |a phylogeny | ||
| 653 | |a co-evolution | ||
| 653 | |a coevolutionary analysis | ||
| 653 | |a direct-coupling analysis | ||
| 653 | |a specificity determining contacts | ||
| 653 | |a sequence reweighting | ||
| 653 | |a maximum entropy models | ||
| 653 | |a protein contact predictions | ||
| 653 | |a TEM-1 | ||
| 653 | |a TOHO-1 | ||
| 653 | |a PBP-A | ||
| 653 | |a DD-transpeptidase | ||
| 653 | |a conformational changes | ||
| 653 | |a catalytic mechanism | ||
| 653 | |a evolution | ||
| 653 | |a epistasis | ||
| 653 | |a allostery | ||
| 653 | |a elastic network model | ||
| 653 | |a protein conformational dynamics | ||
| 653 | |a statistical inference | ||
| 653 | |a mutational phenotypes | ||
| 653 | |a interaction specificity | ||
| 653 | |a phosphorylation | ||
| 653 | |a fitness landscape | ||
| 653 | |a bacterial signaling | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3772 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76347 |7 0 |z DOAB: description of the publication |