Daniel Graham

Invitation to Protein Sequence Analysis Through Probability and Information (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 310
• Erscheinungstermin: 6. Februar 2019
• Englisch
• ISBN-13: 9780429647888
• Artikelnr.: 55264054

Autorenporträt

Daniel J. Graham, Loyola University Chicago, Chicago, IL

Inhaltsangabe

1. Protein Structure Fundamentals and Complexity 2. Essentials of
Information 3. Protein Structure Analysis at the Base Level 4. Base
Structure Analysis and Constituent Numbers 5. Base Structures and Proteomic
Sets 6. Protein Structure Analysis of Base-plus Levels 7. Analysis of
Sequences Internal to Proteins 8. Writing and Refining Protein Sequences 9.
Horizons