Computational Prediction Of Protein Complexes From Protein Interaction Networks
Download and Read Computational Prediction Of Protein Complexes From Protein Interaction Networks full books in PDF, ePUB, and Kindle. Read online free Computational Prediction Of Protein Complexes From Protein Interaction Networks ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Computational Prediction of Protein Complexes from Protein Interaction Networks
Author | : Sriganesh Srihari |
Publisher | : Morgan & Claypool |
Total Pages | : 297 |
Release | : 2017-05-30 |
Genre | : Science |
ISBN | : 1970001534 |
Download Computational Prediction of Protein Complexes from Protein Interaction Networks Book in PDF, Epub and Kindle
Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.
Computational Prediction of Protein Complexes from Protein Interaction Networks Related Books
Pages: 259
Pages: 283
Pages: 198
Pages: 0
Pages: 528