From the reviews:
„This book consists of nine papers, written by diverse authors, each of which discusses specific problems in the area of protein-protein interactions, and different approaches to solving these problems. … offers a high-level overview of computational methods for predicting protein interactions. … This book is geared more toward biologist … .“ (D. Bollman, ACM Computing Reviews, January, 2009)
Protein-protein Interactions and Networks
Identification, Computer Analysis, and Prediction
herausgegeben von Anna Panchenko und Teresa M. PrzytyckaIntegrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networks
Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions
Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions
Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic
