Computational Prediction Of Protein Complexes From Protein Interaction Networks
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Author | : Aidong Zhang |
Publisher | : Cambridge University Press |
Total Pages | : 283 |
Release | : 2009-04-06 |
Genre | : Computers |
ISBN | : 1139479032 |
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.
Author | : Laure Journet |
Publisher | : Humana Press |
Total Pages | : 528 |
Release | : 2017-07-01 |
Genre | : Science |
ISBN | : 9781493970315 |
This volume details protocols that cover the broad arsenal of techniques used to study a secretion system from A to Z. Chapters focus on identifying and localizing the different subunits, defining interactions within subunits, monitoring conformational changes, purifying and imaging of large complexes, defining the assembly pathway by fluorescence microscopy and the role of energy during assembly and/or secretion, identifying secreted effectors as well as reporters to follow effector transport. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Bacterial Protein Secretion Systems: Methods and Protocol aims to provide techniques that are not restricted to the study of secretion systems but are also of specific interest for any researcher interested on multi-protein complexes of the bacterial cell envelope.
Author | : Sriganesh Srihari |
Publisher | : Morgan & Claypool |
Total Pages | : 297 |
Release | : 2017-05-30 |
Genre | : Science |
ISBN | : 1970001534 |
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.
Author | : Li, Xiao-Li |
Publisher | : IGI Global |
Total Pages | : 448 |
Release | : 2009-05-31 |
Genre | : Technology & Engineering |
ISBN | : 1605663999 |
"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.
Author | : M Michael Gromiha |
Publisher | : World Scientific |
Total Pages | : 424 |
Release | : 2020-03-05 |
Genre | : Science |
ISBN | : 9811211884 |
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.
Author | : Peter Markstein |
Publisher | : World Scientific |
Total Pages | : 472 |
Release | : 2007 |
Genre | : Medical |
ISBN | : 1860948723 |
At head of title: Life Sciences Society.
Author | : Colin Kleanthous |
Publisher | : Frontiers in Molecular Biology |
Total Pages | : 370 |
Release | : 2000 |
Genre | : Carrier proteins |
ISBN | : 9780199637607 |
The purpose of Protein-Protein Recognition is to bring together concepts and systems pertaining to protein-protein interactions in a single unifying volume. In the light of the information from the genome sequencing projects and the increase in structural information it is an opportune time totry to make generalizations about how and why proteins form complexes with each other. The emphasis of the book is on heteromeric complexes (complexes in which each of the components can exist in an unbound state) and will use well-studied model systems to explain the processes of formingcomplexes. After an introductory section on the kinetics, thermodynamics, analysis, and classification of protein-protein interactions, weak, intermediate, and high affinity complexes are dealt with in turn. Weak affinity complexes are represented by electron transfer proteins and integrincomplexes. Anti-lysozyme antibodies, the MHC proteins and their interactions with T-cell receptors, and the protein interactions of eukaryotic signal transduction are the systems used to explain complexes with intermediate affinities. Finally, tight binding complexes are represented by theinteraction of protein inhibitors with serine proteases and by nuclease inhibitor complexes. Throughout the chapters common themes are the technologies which have had the greatest impact, how specificity is determined, how complexes are stabilized, and medical and industrial applications.
Author | : Martin Zacharias |
Publisher | : World Scientific |
Total Pages | : 401 |
Release | : 2010 |
Genre | : Science |
ISBN | : 1848163398 |
Given the immense progress achieved in elucidating protein-protein complex structures and in the field of protein interaction modeling, there is great demand for a book that gives interested researchers/students a comprehensive overview of the field. This book does just that. It focuses on what can be learned about protein-protein interactions from the analysis of protein-protein complex structures and interfaces. What are the driving forces for protein-protein association? How can we extract the mechanism of specific recognition from studying protein-protein interfaces? How can this knowledge be used to predict and design protein-protein interactions (interaction regions and complex structures)? What methods are currently employed to design protein-protein interactions, and how can we influence protein-protein interactions by mutagenesis and small-molecule drugs or peptide mimetics?The book consists of about 15 review chapters, written by experts, on the characterization of protein-protein interfaces, structure determination of protein complexes (by NMR and X-ray), theory of protein-protein binding, dynamics of protein interfaces, bioinformatics methods to predict interaction regions, and prediction of protein-protein complex structures (docking and homology modeling of complexes, etc.) and design of protein-protein interactions. It serves as a bridge between studying/analyzing protein-protein complex structures (interfaces), predicting interactions, and influencing/designing interactions.
Author | : De-Shuang Huang |
Publisher | : Springer Nature |
Total Pages | : 638 |
Release | : 2020-10-13 |
Genre | : Computers |
ISBN | : 3030608026 |
This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.
Author | : Volkhard Helms |
Publisher | : John Wiley & Sons |
Total Pages | : 458 |
Release | : 2019-04-29 |
Genre | : Medical |
ISBN | : 3527333584 |
Computational cell biology courses are increasingly obligatory for biology students around the world but of course also a must for mathematics and informatics students specializing in bioinformatics. This book, now in its second edition is geared towards both audiences. The author, Volkhard Helms, has, in addition to extensive teaching experience, a strong background in biology and informatics and knows exactly what the key points are in making the book accessible for students while still conveying in depth knowledge of the subject.About 50% of new content has been added for the new edition. Much more room is now given to statistical methods, and several new chapters address protein-DNA interactions, epigenetic modifications, and microRNAs.