Protein-protein interactions and networks:

identification, analysis and prediction

 

Editors: Anna R. Panchenko and Teresa M. Przytycka

Publisher: Springer-Verlag

 

Disclaimer: The enclosed information is subject to changes

 

Protein-protein interactions play a pivotal role in most cellular processes, such as replication, transcription, translation, signal transduction and others, while distortion of native protein interfaces can lead to the development of many diseases.  Understanding of general of global and local properties of protein interaction networks as well as the mechanisms of interaction specificity at molecular level is necessary for the full understanding of biological processes.  To decipher the global picture of protein interactions in the cell, different experimental techniques have been developed, some of them are designed to characterize the details of individual interactions while others are advanced to identify interactions on the genome-wide scale.

Motivated by the unprecedented amount of the diverse data on this important subject, the authors of the book aim to integrate different approaches from bioinformatics, biochemistry, computational analysis and systems biology to remedy the lack in a global view on this problem. “Protein-protein interactions and networks: identification, analysis and prediction” will combine the descriptions of experimental techniques and  will expound on different computational algorithms for network analysis and prediction of protein and domain interactions.

 

 

Chapter 1. Experimental methods of protein interaction identification

                        Peter Uetz,  TIGR

                        synopsis

Chapter 2. Protein and domain interaction databases and data integration

Anna Panchenko and Benjamin Shoemaker, NCBI, NIH

synopsis

Chapter 3. Protein-protein recognition, hot spots

Ruth Nussinov, NCI, NIH

synopsis

Chapter 4. Computational methods to predict protein interaction partners

                        Alfonso Valencia1 and  Florencio Pazos2

1Spanish National Cancer Research Centre

2 Computational Systems Biology Group CNB-CSIC, Madrid   

synopsis

Chapter 5. Prediction of domain-domain and domain-peptide interactions from protein interaction networks

Katia Guimarães1   and  Teresa Przytycka2

1 Federal University of Pernambuco, Recife, Brazil

2  NCBI/NIH

synopsis

Chapter 6. Characterization of the structures of macromolecular assemblies

Andrej Sali, University of California, San Francisco

synopsis

Chapter 7. Topological and dynamical properties of protein interaction networks

Sergei Maslov, Brookhaven National Laboratory

synopsis

Chapter 8. Prediction of protein function from protein interaction networks

Mona Singh, Princeton University

synopsis

Chapter 9. Comparison of protein interaction networks and their conservation in evolution

Eytan Ruppin, Roded Sharan and Nir Yosef, Tel-Aviv University

synopsis