Books > Professional & Technical > Biochemical engineering > Biotechnology
|
Buy Now
Protein Folding in Silico - Protein Folding Versus Protein Structure Prediction (Hardcover, New)
Loot Price: R3,905
Discovery Miles 39 050
|
|
Protein Folding in Silico - Protein Folding Versus Protein Structure Prediction (Hardcover, New)
Series: Woodhead Publishing Series in Biomedicine
Expected to ship within 12 - 17 working days
|
Protein folding is a process by which a protein structure assumes
its functional shape of conformation, and has been the subject of
research since the publication of the first software tool for
protein structure prediction. Protein folding in silico approaches
this issue by introducing an ab initio model that attempts to
simulate as far as possible the folding process as it takes place
in vivo, and attempts to construct a mechanistic model on the basis
of the predictions made. The opening chapters discuss the early
stage intermediate and late stage intermediate models, followed by
a discussion of structural information that affects the
interpretation of the folding process. The second half of the book
covers a variety of topics including ligand binding site
recognition, the "fuzzy oil drop" model and its use in simulation
of the polypeptide chain, and misfolded proteins. The book ends
with an overview of a number of other ab initio methods for protein
structure predictions and some concluding remarks.
Discusses a range of ab initio models for protein structure
predictionIntroduces a unique model based on experimental
observationsDescribes various methods for the quantitative
assessment of the presented models from the viewpoint of
information theory
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.