CART

(0) items

Protein Folding in Silico,9781907568176
This item qualifies for
FREE SHIPPING!

FREE SHIPPING OVER $59!

Your order must be $59 or more, you must select US Postal Service Shipping as your shipping preference, and the "Group my items into as few shipments as possible" option when you place your order.

Bulk sales, PO's, Marketplace Items, eBooks, Apparel, and DVDs not included.

Protein Folding in Silico

by
Edition:
1st
ISBN13:

9781907568176

ISBN10:
1907568174
Format:
Hardcover
Pub. Date:
10/4/2012
Publisher(s):
Elsevier Science
List Price: $205.00

Buy New Textbook

In Stock Usually Ships in 24 Hours
N9781907568176
$199.88

Rent Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

More New and Used
from Private Sellers
Starting at $196.55
See Prices

Questions About This Book?

What version or edition is this?
This is the 1st edition with a publication date of 10/4/2012.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

Summary

The history of the protein folding problem dates back 35 years to the publication of the first software tool for protein structure prediction. As can be expected, significant progress has been made since these early days. One way to track this progress is to follow the Critical Assessment of Protein Structure Prediction (CASP) initiative, which studies methods and techniques oriented towards protein structure prediction on a global scale, focusing on emerging technologies, modern computing resources and novel infrastructures. The aim of this book is to approach the presented problem not from a predictive standpoint, but rather by introducing a model which attempts to simulate - as far as possible - the folding process as it takes place in vivo. The book is broad in scope - starting with ab initio models and attempting to construct a mechanistic model on the basis of their predictions. This model, if sufficiently reliable, may influence the interpretation of biological processes related to protein folding. The authors' computational model is expected to go beyond experimental studies, casting a new light on the complexities of biological phenomena. It acknowledges the geometric properties of the polypeptide chains as well as the influence of external force fields (particularly the aqueous environment in which the folding process takes place) and external molecules, including specific ligands. Elements of information theory applied to the folding process seems to highlight the quantitative relation between sequential intermediates which are assumed to emerge in the course of polypeptide chain folding.


Please wait while the item is added to your cart...