num_pages: 517
description: Scientists developing prediction methods will find ideas here in descriptions of successful methods and programs in protein structure prediction. Chapters on concepts of protein structure prediction discuss areas such as a Bayesian approach to protein fold recognition, three-dimensional structure prediction using simplified structure models and Bayesian block fragments, and protein structure prediction using hidden Markov model structural libraries. Chapters on methods of structure and sequence alignment outline methods such as the PCONS consensus approach, and discuss new insights into protein fold space and sequence-structure relationships. Annotation c. Book News, Inc., Portland, OR (booknews.com)
language: English
title: Protein Structure Prediction: Bioinfomatic Approach
titlecomplete: Protein Structure Prediction: Bioinfomatic Approach (Iul Biotechnology, 3)
publisher: Intl Univ Line