Web Servers Databases And Algorithms For The Analysis Of Protein Interaction Networks

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Web Servers, Databases, and Algorithms for the Analysis of Protein Interaction Networks

Author : Daniel Kyu Park
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (844 download)

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Book Synopsis Web Servers, Databases, and Algorithms for the Analysis of Protein Interaction Networks by : Daniel Kyu Park

Download or read book Web Servers, Databases, and Algorithms for the Analysis of Protein Interaction Networks written by Daniel Kyu Park and published by . This book was released on 2013 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the cell as a system has become one of the foremost challenges in the post-genomic era. As a result of advances in high-throughput (HTP) methodologies, we have seen a rapid growth in new types of data at the whole-genome scale. Over the last decade, HTP experimental techniques such as yeast two-hybrid assays and co-affinity purification couple with mass spectrometry have generated large amounts of data on protein-protein interactions (PPI) for many organisms. We focus on the sub-domain of systems biology related to understanding the interactions between proteins that ultimately drive all cellular processes. Representing PPIs as a protein interaction network has proved to be a powerful tool for understanding PPIs at the systems level. In this representation, each node represents a protein and each edge between two nodes represents a physical interaction between the corresponding two proteins. With this abstraction, we present algorithms for the prediction and analysis of such PPI networks as well as web servers and databases for their public availability: 1. In many organisms, the coverage of experimental determined PPI data remains relatively noisy and limited. Given two protein sequences, we describe an algorithm, called Struct2Net, to predict if two proteins physically interact, using insights from structural biology and logistic regression. Furthermore, we create a community-wide web-resource that predicts interactions between any protein sequence pair and provides proteome-wide pre-computed PPI predictions for Homo sapiens, Drosophila melanogaster, and Saccharomyces cerevisiae. 2. Comparative analysis of PPI networks across organisms can provide valuable insights into evolutionary conservation. We describe an algorithm, called IsoRank, for global alignment of multiple PPI networks. The algorithm first constructs an eigenvalue problem that models the network and sequence similarity constraints. The solution of the problem describes a k partite graph that is further processed to find the alignments. Furthermore, we create a communitywide web database, called IsoBase, that provides network alignments and orthology mappings for the most commonly studied eukaryotic model organisms: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, and Saccharomyces cerevisiae.

Protein Interaction Networks

Author : Aidong Zhang
Publisher : Cambridge University Press
ISBN 13 : 1139479032
Total Pages : 283 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Protein Interaction Networks by : Aidong Zhang

Download or read book Protein Interaction Networks written by Aidong Zhang and published by Cambridge University Press. This book was released on 2009-04-06 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-protein Interactions and Networks

Author : Anna Panchenko
Publisher : Springer Science & Business Media
ISBN 13 : 1848001258
Total Pages : 198 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Protein-protein Interactions and Networks by : Anna Panchenko

Download or read book Protein-protein Interactions and Networks written by Anna Panchenko and published by Springer Science & Business Media. This book was released on 2010-04-06 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analysis of Protein Interaction Networks

Author : Sunil Kumar Tadaka
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (565 download)

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Book Synopsis Analysis of Protein Interaction Networks by : Sunil Kumar Tadaka

Download or read book Analysis of Protein Interaction Networks written by Sunil Kumar Tadaka and published by . This book was released on 2003 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Management of Protein Interaction Networks

Author : Mario Cannataro
Publisher : John Wiley & Sons
ISBN 13 : 1118103734
Total Pages : 145 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Data Management of Protein Interaction Networks by : Mario Cannataro

Download or read book Data Management of Protein Interaction Networks written by Mario Cannataro and published by John Wiley & Sons. This book was released on 2012-02-03 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Protein-Protein Interaction Networks

Author : Stefan Canzar
Publisher : Humana
ISBN 13 : 9781493998722
Total Pages : 0 pages
Book Rating : 4.9/5 (987 download)

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Book Synopsis Protein-Protein Interaction Networks by : Stefan Canzar

Download or read book Protein-Protein Interaction Networks written by Stefan Canzar and published by Humana. This book was released on 2019-10-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores techniques that study interactions between proteins in different species, and combines them with context-specific data, analysis of omics datasets, and assembles individual interactions into higher-order semantic units, i.e., protein complexes and functional modules. The chapters in this book cover computational methods that solve diverse tasks such as the prediction of functional protein-protein interactions; the alignment-based comparison of interaction networks by SANA; using the RaptorX-ComplexContact webserver to predict inter-protein residue-residue contacts; the docking of alternative confirmations of proteins participating in binary interactions and the visually-guided selection of a docking model using COZOID; the detection of novel functional units by KeyPathwayMiner and how PathClass can use such de novo pathways to classify breast cancer subtypes. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary hardware- and software, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Protein-Protein Interaction Networks: Methods and Protocols is a valuable resource for both novice and expert researchers who are interested in learning more about this evolving field.

Protein-protein Interactions and Networks

Author : Anna Panchenko
Publisher : Springer
ISBN 13 : 9781848821965
Total Pages : 212 pages
Book Rating : 4.8/5 (219 download)

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Book Synopsis Protein-protein Interactions and Networks by : Anna Panchenko

Download or read book Protein-protein Interactions and Networks written by Anna Panchenko and published by Springer. This book was released on 2009-08-29 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Protein Interaction Networks

Author : Rossen Donev
Publisher : Academic Press
ISBN 13 : 0323992323
Total Pages : 354 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Protein Interaction Networks by : Rossen Donev

Download or read book Protein Interaction Networks written by Rossen Donev and published by Academic Press. This book was released on 2022-07-21 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein Interaction Networks, Volume 131 in the Advances in Protein Chemistry and Structural Biology series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Advances in Protein Chemistry and Structural Biology series Includes the latest information on protein design and structure

Biological Data Mining in Protein Interaction Networks

Author : Li, Xiao-Li
Publisher : IGI Global
ISBN 13 : 1605663999
Total Pages : 450 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Biological Data Mining in Protein Interaction Networks by : Li, Xiao-Li

Download or read book Biological Data Mining in Protein Interaction Networks written by Li, Xiao-Li and published by IGI Global. This book was released on 2009-05-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Computational Prediction of Protein Complexes from Protein Interaction Networks

Author : Sriganesh Srihari
Publisher : Morgan & Claypool
ISBN 13 : 1970001534
Total Pages : 297 pages
Book Rating : 4.9/5 (7 download)

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Book Synopsis Computational Prediction of Protein Complexes from Protein Interaction Networks by : Sriganesh Srihari

Download or read book Computational Prediction of Protein Complexes from Protein Interaction Networks written by Sriganesh Srihari and published by Morgan & Claypool. This book was released on 2017-05-30 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Protein Networks and Pathway Analysis

Author : Yuri Nikolsky
Publisher : Humana Press
ISBN 13 : 9781607611745
Total Pages : 0 pages
Book Rating : 4.6/5 (117 download)

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Book Synopsis Protein Networks and Pathway Analysis by : Yuri Nikolsky

Download or read book Protein Networks and Pathway Analysis written by Yuri Nikolsky and published by Humana Press. This book was released on 2009-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the beginning of the OMICs biology era, science has been pursuing the reduction of the complex "genome-wide" assays in order to understand the essential biology that lies beneath it. In Protein Networks and Pathway Analysis, expert practitioners present a compilation of methods of functional data analysis, often referred to as "systems biology," and its applications in drug discovery, medicine and basic disease research. The volume is divided into three convenient sections, covering the elucidation of protein, compound and gene interactions, analytical tools, including networks, interactome and ontologies, and applications of functional analysis. As a volume in the highly successful Methods in Molecular BiologyTM series, this work provides detailed descriptions and hands-on implementation advice. Authoritative and cutting-edge, Protein Networks and Pathway Analysis presents both "wet lab" experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.

Encyclopedia of Bioinformatics and Computational Biology

Author :
Publisher : Elsevier
ISBN 13 : 0128114320
Total Pages : 3421 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :

Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Algorithms for the Analysis of Protein Interaction Networks

Author : Rohit Singh (Ph.D.)
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (795 download)

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Book Synopsis Algorithms for the Analysis of Protein Interaction Networks by : Rohit Singh (Ph.D.)

Download or read book Algorithms for the Analysis of Protein Interaction Networks written by Rohit Singh (Ph.D.) and published by . This book was released on 2012 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the decade since the human genome project, a major research trend in biology has been towards understanding the cell as a system. This interest has stemmed partly from a deeper appreciation of how important it is to understand the emergent properties of cellular systems (e.g., they seem to be the key to understanding diseases like cancer). It has also been enabled by new high-throughput techniques that have allowed us to collect new types of data at the whole-genome scale. We focus on one sub-domain of systems biology: the understanding of protein interactions. Such understanding is valuable: interactions between proteins are fundamental to many cellular processes. Over the last decade, high-throughput experimental techniques have allowed us to collect a large amount of protein-protein interaction (PPI) data for many species. A popular abstraction for representing this data is the protein interaction network: each node of the network represents a protein and an edge between two nodes represents a physical interaction between the two corresponding proteins. This abstraction has proven to be a powerful tool for understanding the systems aspects of protein interaction. We present some algorithms for the augmentation, cleanup and analysis of such protein interaction networks: 1. In many species, the coverage of known PPI data remains partial. Given two protein sequences, we describe an algorithm to predict if two proteins physically interact, using logistic regression and insights from structural biology. We also describe how our predictions may be further improved by combining with functional-genomic data. 2. We study systematic false positives in a popular experimental protocol, the Yeast 2-Hybrid method. Here, some "promiscuous" proteins may lead to many false positives. We describe a Bayesian approach to modeling and adjusting for this error. 3. Comparative analysis of PPI networks across species can provide valuable insights. We describe IsoRank, an algorithm for global network alignment of multiple PPI networks. The algorithm first constructs an eigenvalue problem that encapsulates the network and sequence similarity constraints. The solution of the problem describes a k-partite graph that is further processed to find the alignment. 4. For a given signaling network, we describe an algorithm that combines RNA-interference data with PPI data to produce hypotheses about the structure of the signaling network. Our algorithm constructs a multi-commodity flow problem that expresses the constraints described by the data and finds a sparse solution to it.

Protein-Protein Interactions

Author : Krishna Mohan Poluri
Publisher : Springer Nature
ISBN 13 : 9811615942
Total Pages : 346 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Protein-Protein Interactions by : Krishna Mohan Poluri

Download or read book Protein-Protein Interactions written by Krishna Mohan Poluri and published by Springer Nature. This book was released on 2021-05-19 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the fundamental aspects of protein-protein interactions (PPI), including a detailed account of the energetics and thermodynamics involved in these interactions. It also discusses a number of computational and experimental approaches for the prediction of PPI interactions and reviews their principles, advantages, drawbacks, and the recent developments. Further, it offers structural and mechanistic insights into the formation of protein-protein complexes and maps different PPIs into networks to delineate various pathways that operate at the cellular level. Lastly, it describes computational protein-protein docking techniques and discusses their implications for further experimental research. Given its scope, this book is a valuable resource for students, researchers, scientists, entrepreneurs, and medical/healthcare professionals.

Computational Intelligence Techniques for Comparative Genomics

Author : Naresh Babu Muppalaneni
Publisher : Springer
ISBN 13 : 9812873384
Total Pages : 147 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Computational Intelligence Techniques for Comparative Genomics by : Naresh Babu Muppalaneni

Download or read book Computational Intelligence Techniques for Comparative Genomics written by Naresh Babu Muppalaneni and published by Springer. This book was released on 2014-12-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.

Protein-protein Complexes

Author : Martin Zacharias
Publisher : World Scientific
ISBN 13 : 1848163398
Total Pages : 401 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Protein-protein Complexes by : Martin Zacharias

Download or read book Protein-protein Complexes written by Martin Zacharias and published by World Scientific. This book was released on 2010 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bioinformatics

Author : Dev Bukhsh Singh
Publisher : Academic Press
ISBN 13 : 0323900054
Total Pages : 512 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Bioinformatics by : Dev Bukhsh Singh

Download or read book Bioinformatics written by Dev Bukhsh Singh and published by Academic Press. This book was released on 2021-10-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds Explains in a practical way how to decode complex biological problems using computational approaches and resources Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach