An In-Silico Approach for Protein Secondary Structure Modeling

by

Write The First Customer Review

The structural knowledge of transmembrane proteins is difficult to attain experimentally, as the wet-lab experimental methods are time consuming, expensive, require good infrastructure and contain high false positive results. Hence, the need of in-silico methods for protein secondary structure prediction is being driven by above listed limitations. Over a number of years, various transmembrane region predictors has been developed using computational approach. In this book, a connectionist (ANN-Artificial Neural Network) ...

An In-Silico Approach for Protein Secondary Structure Modeling 2012, LAP Lambert Academic Publishing, Saarbrucken

ISBN-13: 9783846582688

Trade paperback

Select