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Invitation to protein sequence analysis through probability and information / Daniel J. Graham.

By: Material type: TextTextPublisher: Boca Raton : CRC Press, [2019]Copyright date: ©2019Description: 1 online resource : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429647888
  • 0429647883
  • 9780429028250
  • 0429028253
  • 9780429650529
  • 0429650523
  • 9780429645242
  • 0429645244
Subject(s): DDC classification:
  • 572/.633 23
LOC classification:
  • QP552.M64
Online resources:
Contents:
Protein structure fundamentals and complexity -- Essentials of information -- Protein structure analysis at the base level -- Base structure analysis and constituent numbers -- Base structures and proteomic sets -- Protein structure analysis of base-plus levels -- Analysis of sequences internal to proteins -- Writing and refining protein sequences -- Horizons.
Summary: 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.
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Protein structure fundamentals and complexity -- Essentials of information -- Protein structure analysis at the base level -- Base structure analysis and constituent numbers -- Base structures and proteomic sets -- Protein structure analysis of base-plus levels -- Analysis of sequences internal to proteins -- Writing and refining protein sequences -- Horizons.

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.

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