Introduction to Computional Proteomics

Covers the essence of protein analysis, from sequence and structure analysis to detection of protein building blocksIncludes statistical models and comparison of protein families and other biological entitiesProvides mathematical representation of the protein space, graph theory approaches, embedding algorithms, and clusteringShows how to integrate multiple sources in the analysis of the protein spaceContains special chapters on Bayesian networks and their application to the protein Focusing on protein classification and meta-organization, Computational Proteomics describes detailed methods for detecting self-organization in complex biological systems. This book presents the analysis of biological entities and their cellular counterparts and discusses methods for detecting the building blocks of proteins and for prediction and analysis of protein-protein interactions, expression data analysis, and pathway analysis. It also examines protein space and prediction of protein function. This book includes chapters on the analysis of protein-related data types, such as expression, as well as special chapters on Bayesian networks and their application to the protein space.