Protein Actions: Principles and Modeling 1st Edition, (Ebook PDF) – Digital Instant Dowload.
Product details:
- ISBN-10 : 9780815341772
- ISBN-13 : 978-0815341772
- Author: Ivet Bahar (Author), Robert L. Jernigan (Author), Ken A. Dill (Author)
Protein Actions: Principles and Modeling is aimed at graduates, advanced undergraduates, and any professional who seeks an introduction to the biological, chemical, and physical properties of proteins. Broadly accessible to biophysicists and biochemists, it will be particularly useful to student and professional structural biologists and molecular biophysicists, bioinformaticians and computational biologists, biological chemists (particularly drug designers) and molecular bioengineers.
The book begins by introducing the basic principles of protein structure and function. Some readers will be familiar with aspects of this, but the authors build up a more quantitative approach than their competitors. Emphasizing concepts and theory rather than experimental techniques, the book shows how proteins can be analyzed using the disciplines of elementary statistical mechanics, energetics, and kinetics. These chapters illuminate how proteins attain biologically active states and the properties of those states. The book ends with a synopsis the roles of computational biology and bioinformatics in protein science.
Table contents:
Chapter 1 Proteins Are Polymers that Fold into Specific Structures
Chapter 2 Proteins Perform Cellular Functions
Chapter 3 Proteins Have Stable Equilibrium Conformations
Chapter 4 Protein Binding Leads to Biological Actions
Chapter 5 Folding and Aggregation are Cooperative Transitions
Chapter 6 the Principles of Protein Folding Kinetics
Chapter 7 Proteins Evolve
Chapter 8 Bioinformatics: Insights from Protein Sequences
Chapter 9 Protein Geometries and Energetics
Chapter 10 Molecular Simulations and Conformational Sampling
Chapter 11 Predicting Protein Structures from Sequences
Chapter12 Biological Actions Arise from Protein Motions
Chapter 13 Molecular Modeling for Drug Discovery