Computational Protein-Protein Interactions

Download Computational Protein-Protein Interactions PDF Online Free

Author :
Release : 2009-06-26
Genre : Science
Kind :
Book Rating : 07X/5 ( reviews)

Computational Protein-Protein Interactions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Protein-Protein Interactions write by Ruth Nussinov. This book was released on 2009-06-26. Computational Protein-Protein Interactions available in PDF, EPUB and Kindle. Often considered the workhorse of the cellular machinery, proteins are responsible for functions ranging from molecular motors to signaling. The broad recognition of their involvement in all cellular processes has led to focused efforts to predict their functions from sequences, and if available, from their structures. An overview of current resear

Protein Interaction Networks

Download Protein Interaction Networks PDF Online Free

Author :
Release : 2009-04-06
Genre : Computers
Kind :
Book Rating : 032/5 ( reviews)

Protein Interaction Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Protein Interaction Networks write by Aidong Zhang. This book was released on 2009-04-06. Protein Interaction Networks available in PDF, EPUB and Kindle. The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.

Protein Interactions: Computational Methods, Analysis And Applications

Download Protein Interactions: Computational Methods, Analysis And Applications PDF Online Free

Author :
Release : 2020-03-05
Genre : Science
Kind :
Book Rating : 884/5 ( reviews)

Protein Interactions: Computational Methods, Analysis And Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Protein Interactions: Computational Methods, Analysis And Applications write by M Michael Gromiha. This book was released on 2020-03-05. Protein Interactions: Computational Methods, Analysis And Applications available in PDF, EPUB and Kindle. This book is indexed in Chemical Abstracts ServiceThe interactions of proteins with other molecules are important in many cellular activities. Investigations have been carried out to understand the recognition mechanism, identify the binding sites, analyze the the binding affinity of complexes, and study the influence of mutations on diseases. Protein interactions are also crucial in structure-based drug design.This book covers computational analysis of protein-protein, protein-nucleic acid and protein-ligand interactions and their applications. It provides up-to-date information and the latest developments from experts in the field, using illustrations to explain the key concepts and applications. This volume can serve as a single source on comparative studies of proteins interacting with proteins/DNAs/RNAs/carbohydrates and small molecules.

Protein–Protein Interaction Regulators

Download Protein–Protein Interaction Regulators PDF Online Free

Author :
Release : 2020-12-14
Genre : Science
Kind :
Book Rating : 500/5 ( reviews)

Protein–Protein Interaction Regulators - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Protein–Protein Interaction Regulators write by Siddhartha Roy. This book was released on 2020-12-14. Protein–Protein Interaction Regulators available in PDF, EPUB and Kindle. New genomic information has revealed the crucial role that protein–protein interactions (PPIs) play in regulating numerous cellular functions. Aberrant forms of these interactions are common in numerous diseases and thus PPIs have emerged as a vast class of critical drug targets. Despite the importance of PPIs in biology, it has been extremely challenging to convert targets into therapeutics and targeting PPIs had long been considered a very difficult task. However, over the past decade the field has advanced with increasing growth in the number of successful PPI regulators. Protein–Protein Interaction Regulators surveys the latest advances in the structural understanding of PPIs as well as recent developments in modulator discovery.

Computational Prediction of Protein Complexes from Protein Interaction Networks

Download Computational Prediction of Protein Complexes from Protein Interaction Networks PDF Online Free

Author :
Release : 2017-05-30
Genre : Science
Kind :
Book Rating : 534/5 ( reviews)

Computational Prediction of Protein Complexes from Protein Interaction Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Prediction of Protein Complexes from Protein Interaction Networks write by Sriganesh Srihari. This book was released on 2017-05-30. Computational Prediction of Protein Complexes from Protein Interaction Networks available 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.