Showing posts with label Prediction. Show all posts
Showing posts with label Prediction. Show all posts
Tuesday, October 4, 2011

Protein Structure Prediction

Protein Structure Prediction



Author: Anna Tramontano
Edition: 1
Publisher: Wiley-VCH
Binding: Paperback
ISBN: 352731167X



Protein Structure Prediction: Concepts and Applications


While most textbooks on bioinformatics focus on genetic algorithms and treat protein structure prediction only superficially, this course book assumes a novel and unique focus. Medical books Protein Structure Prediction. Adopting a didactic approach, the author explains all the current methods in terms of their reliability, limitations and user-friendliness Medical books Protein Folding in Silico: Protein Folding Versus Protein Structure Prediction (Hardcover). Protein folding is a process by which a protein structure assumes its functional shape of conformation. It has been the subject of research since the publication of the first software tool for protein structure prediction. The goal of this book is to propose and evaluate a theoretical model that enables simulation of the protein folding process. The model attempts to incorporate, as far as possible, the results of experimental studies and exploit knowledge about the mechanisms that affect naturally occurring proteins. Its intention is to simulate each stage in the folding process, rather than simply predict its final result. Chapters discuss the basic assumptions applicable to each intermediate form and explain how they affect the process of generating protein complexation sites, ligand-binding pockets and enzymatic active sites. - Introduces a unique model based on experimental observations of protein folding - Highlights the criteria applied when comparing and assessing different approaches to the presented problem - Explains the influence of observation-based models on the interpretation of the nature of the folding process - Describes various ways to quantitatively assess the presented models from the viewpoint of information theory

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Protein folding is a process by which a protein structure assumes its functional shape of conformation. It has been the subject of research since the publication of the first software tool for protein structure prediction. The goal of this book is to propose and evaluate a theoretical model that enables simulation of the protein folding process. The model attempts to incorporate, as far as possible, the results of experimental studies and exploit knowledge about the mechanisms that affect naturally occurring proteins. Its intention is to simulate each stage in the folding process, rather than

Protein Structure Prediction Methods and Protocols: David Webster

Categories: Proteins->Structure. Contributors: Mohammed Zaki - Editor. Format: Hardcover

Categories: Proteins->Structure, Amino acid sequence, Proteins->Structur. Contributors: Mohammed Zaki - Editor. Format: Hardcover



Medical Book Protein Structure Prediction



Adopting a didactic approach, the author explains all the current methods in terms of their reliability, limitations and user-friendliness. She provides practical examples to help first-time users become familiar with the possibilities and pitfalls of computer-based structure prediction, making this a must-have for students and researchers.

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Tuesday, November 23, 2010

Reliability, Life Testing and the Prediction of Service Lives

Reliability, Life Testing and the Prediction of Service Lives



Author: Sam C. Saunders
Edition: 2007
Publisher: Springer
Binding: Hardcover
ISBN: 0387325220



Reliability, Life Testing and the Prediction of Service Lives: For Engineers and Scientists (Springer Series in Statistics)


This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Medical books Reliability, Life Testing and the Prediction of Service Lives. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant Medical books Reliability, Life Testing and the Prediction of Service Lives .... Reliability, Life Testing and the Prediction of Service Lives SPRIV 9781441921888 09781441921888

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Reliability, Life Testing and the Prediction of Service Lives SPRIV 9781441921888 09781441921888

Electronics Cameras Computers Software Housewares Sports DVDs Music Books Games Toys in titles descriptions Company Info |Checkout Info |Shipping Info |Return Policy |FAQ's Add us as a favorite seller By continuing with your purchase using the eBay Buy It Now button, you agree to the Buy Terms of Use at http://stores.ebay.com/Buys-Internet-Superstore/Terms.html . Reliability, Life Testing and the Prediction of Service Lives - Saunders, Sam C.THIS IS A BRAND NEW UNOPENED ITEM. Buy SKU: 221524825

This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used.

Categories: Mathematical statistics, Reliability (Engineering)->Mathematical models, Reliability (Engineering)->Statistical methods. Contributors: Sam C. Saunders - Author. Format: Hardcover



Medical Book Reliability, Life Testing and the Prediction of Service Lives



Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used.

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