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| Author | : Joan Segura |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : |
| ISBN | : 9789535103974 |
| 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 | : Anna Panchenko |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 198 |
| Release | : 2010-04-06 |
| Genre | : Science |
| ISBN | : 1848001258 |
The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse. This comprehensive book provides a broad, thorough and multidisciplinary coverage of its field. It integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks.
| 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 | : Anna Panchenko |
| Publisher | : Springer |
| Total Pages | : 212 |
| Release | : 2009-08-29 |
| Genre | : Science |
| ISBN | : 9781848821965 |
The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse. This comprehensive book provides a broad, thorough and multidisciplinary coverage of its field. It integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks.
| Author | : Mario Cannataro |
| Publisher | : John Wiley & Sons |
| Total Pages | : 145 |
| Release | : 2012-02-03 |
| Genre | : Computers |
| ISBN | : 1118103734 |
Current PPI databases do not offer sophisticated querying interfaces and especially do not integrate existing information about proteins. Current algorithms for PIN analysis use only topological information, while emerging approaches attempt to exploit the biological knowledge related to proteins and kinds of interaction, e.g. protein function, localization, structure, described in Gene Ontology or PDB. The book discusses technologies, standards and databases for, respectively, generating, representing and storing PPI data. It also describes main algorithms and tools for the analysis, comparison and knowledge extraction from PINs. Moreover, some case studies and applications of PINs are also discussed.
| Author | : Florencio Pazos |
| Publisher | : Springer |
| Total Pages | : 111 |
| Release | : 2014-11-28 |
| Genre | : Science |
| ISBN | : 3319127276 |
This book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed explanations on how to use these tools and interpret their results and minimal mentions to their theoretical basis (only when that is required for making a better use of them). It covers a wide range of tools for dealing with different aspects of proteins, from their sequences, to their three-dimensional structures, and the biological networks they are immersed in. The selection of tools is based on the experience of the authors that lead a protein bioinformatics facility in a large research centre, with the additional constraint that the tools should be accessible through standard web browsers without requiring the local installation of specific software, command-line tools, etc. The web tools covered include those aimed to retrieve protein information, look for similar proteins, generate pair-wise and multiple sequence alignments of protein sequences, work with protein domains and motifs, study the phylogeny of a family of proteins, retrieve, manipulate and visualize protein three-dimensional structures, predict protein structural features as well as whole three-dimensional structures, extract biological information from protein structures, summarize large protein sets, study protein interaction and metabolic networks, etc. The book is associated to a dynamic web site that will reflect changes in the web addresses of the tools, updates of these, etc. It also contains QR codes that can be scanned with any device to direct its browser to the tool web site. This monograph will be most valuable for researchers in experimental labs without specific knowledge on bioinformatics or computing.
| Author | : Weibo Cai |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 488 |
| Release | : 2012-03-30 |
| Genre | : Science |
| ISBN | : 9535103970 |
Proteins are indispensable players in virtually all biological events. The functions of proteins are coordinated through intricate regulatory networks of transient protein-protein interactions (PPIs). To predict and/or study PPIs, a wide variety of techniques have been developed over the last several decades. Many in vitro and in vivo assays have been implemented to explore the mechanism of these ubiquitous interactions. However, despite significant advances in these experimental approaches, many limitations exist such as false-positives/false-negatives, difficulty in obtaining crystal structures of proteins, challenges in the detection of transient PPI, among others. To overcome these limitations, many computational approaches have been developed which are becoming increasingly widely used to facilitate the investigation of PPIs. This book has gathered an ensemble of experts in the field, in 22 chapters, which have been broadly categorized into Computational Approaches, Experimental Approaches, and Others.
| 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 | : 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.
