Invitation to Protein Sequence Analysis Through Probability and Information (PDF)
This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures...
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This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader's knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.
Daniel J. Graham, Loyola University Chicago, Chicago, IL
- Autor: Daniel J. Graham
- 2019, 1. Auflage, 310 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 0429650523
- ISBN-13: 9780429650529
- Erscheinungsdatum: 06.02.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 12 MB
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