New Approaches of Protein Function Prediction from Protein Interaction Networks

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  • Publisher : Academic Press
  • Release : 15 January 2017
  • ISBN : 0128098147
  • Page : 124 pages
  • Rating : 4.5/5 from 103 voters

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New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction. Provides innovative approaches and new developments targeting key issues in protein function prediction Presents heuristic ideas for further research in this challenging area

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New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks
  • Author : Jingyu Hou
  • Publisher : Academic Press
  • Release Date : 2017-01-15
  • ISBN : 0128098147
GET THIS BOOKNew Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated

New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks
  • Author : Jingyu Hou
  • Publisher : Academic Press
  • Release Date : 2017-01-13
  • ISBN : 9780128099445
GET THIS BOOKNew Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated

Protein Function Prediction from Protein Interaction Network

Protein Function Prediction from Protein Interaction Network
  • Author : Sovan Saha,Piyali Chatterjee
  • Publisher : LAP Lambert Academic Publishing
  • Release Date : 2013
  • ISBN : 3659402788
GET THIS BOOKProtein Function Prediction from Protein Interaction Network

Proteins perform every function in a cell. With the advent of genome sequencing projects for different organisms, large amounts of DNA and protein sequence data is available, whereas their biological function is still unknown in the most of the cases. Predicting protein function is the most challenging problem in post-genomic era. Using sequence homology, phylogenetic profiles, gene expression data, and function of unknown protein can be predicted. Recently, the large interaction networks constructed from high throughput techniques like Yeast2Hybrid

Protein-protein Interactions and Networks

Protein-protein Interactions and Networks
  • Author : Anna Panchenko,Teresa M. Przytycka
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-04-06
  • ISBN : 1848001258
GET THIS BOOKProtein-protein Interactions and Networks

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.

Functional Module Identification and Function Prediction from Protein Interaction Networks

Functional Module Identification and Function Prediction from Protein Interaction Networks
  • Author : Young-Rae Cho
  • Publisher : Unknown
  • Release Date : 2009
  • ISBN : OCLC:639328387
GET THIS BOOKFunctional Module Identification and Function Prediction from Protein Interaction Networks

Since the completion of sequencing human genome, uncovering the principles of interactions and the functional roles of proteins has been in the spotlight in this post-genomic era. The interactions between proteins provide insights into the underlying mechanisms of biological processes within a cell. The functions of an unknown protein can be postulated on the basis of its interaction evidence with known proteins. The systematic analysis of protein interaction networks has thus become a primary issue in current Bioinformatics research. A

Development and Application of a Computational Approach to Align Protein Interaction Networks

Development and Application of a Computational Approach to Align Protein Interaction Networks
  • Author : Phan Thi Thu Hang,Michael Sternberg
  • Publisher : Unknown
  • Release Date : 2012
  • ISBN : OCLC:827258296
GET THIS BOOKDevelopment and Application of a Computational Approach to Align Protein Interaction Networks

This thesis describes the development of PINALOG, a protein interaction network alignment method, and its application to the area of protein function prediction and protein complex detection. Protein-protein interactions (PPI) play an important role in the function of biological processes. Advances in high-throughput technology have produced a large amount of protein-protein interaction data, enabling analyses at the system level. Although protein-protein interaction networks (PPINs) vary between species, there are components of them that perform similar biological functions and these are

Protein Interaction Networks in Health and Disease

Protein Interaction Networks in Health and Disease
  • Author : Spyros Petrakis,Miguel A. Andrade-Navarro
  • Publisher : Frontiers Media SA
  • Release Date : 2016-10-19
  • ISBN : 9782889199822
GET THIS BOOKProtein Interaction Networks in Health and Disease

The identification and mapping of protein-protein interactions (PPIs) is a major goal in systems biology. Experimental data are currently produced in large scale using a variety of high-throughput assays in yeast or mammalian systems. Analysis of these data using computational tools leads to the construction of large protein interaction networks, which help researchers identify novel protein functions. However, our current view of protein interaction networks is still limited and there is an active field of research trying to further develop

Phylogenetic Approaches to Protein Function Prediction and Protein Network Analysis

Phylogenetic Approaches to Protein Function Prediction and Protein Network Analysis
  • Author : Jie Wu
  • Publisher : Unknown
  • Release Date : 2006
  • ISBN : OCLC:301562054
GET THIS BOOKPhylogenetic Approaches to Protein Function Prediction and Protein Network Analysis

Abstract: One of the defining challenges in the post-genomic era is to develop computational and experimental tools to elucidate the mechanisms of bio-molecular interactions within the cell and between the cell and environment. The recent availability of an increasing number of completely sequenced genomes from diverse species has opened new possibilities for systematically annotating large numbers of genes by comparative genomics and deciphering the web of molecular interactions that underlie most cellular systems. High-throughput algorithms that explore the genomic context

Biomolecular Networks

Biomolecular Networks
  • Author : Luonan Chen,Rui-Sheng Wang,Xiang-Sun Zhang
  • Publisher : John Wiley & Sons
  • Release Date : 2009-06-29
  • ISBN : 0470488050
GET THIS BOOKBiomolecular Networks

Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function.

Data Management of Protein Interaction Networks

Data Management of Protein Interaction Networks
  • Author : Mario Cannataro,Pietro H. Guzzi
  • Publisher : John Wiley & Sons
  • Release Date : 2012-02-03
  • ISBN : 9781118103739
GET THIS BOOKData Management of Protein Interaction Networks

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,

Network-based Information Integration for Protein Function Prediction

Network-based Information Integration for Protein Function Prediction
  • Author : Xiaoyu Jiang
  • Publisher : Unknown
  • Release Date : 2009
  • ISBN : OCLC:606828841
GET THIS BOOKNetwork-based Information Integration for Protein Function Prediction

Abstract: Protein function prediction is a fundamental problem in computational biology. For protein activities described by terms in databases such as the Gene Ontology (GO), this task is typically pursued as a binary classification problem. As a result of an astonishing increase in the available genome-wide protein information, integrating different protein datasets has become a significant opportunity and a major focus to infer functionality. This dissertation contains three novel approaches to integrate popular protein information to classify proteins into functional

Protein-Protein Interactions

Protein-Protein Interactions
  • Author : Weibo Cai,Hao Hong
  • Publisher : BoD – Books on Demand
  • Release Date : 2012-03-30
  • ISBN : 9789535103974
GET THIS BOOKProtein-Protein Interactions

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

Systems Biology

Systems Biology
  • Author : Aleš Prokop,Béla Csukás
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-08-28
  • ISBN : 9789400768031
GET THIS BOOKSystems Biology

Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing

Prediction of Protein Structures, Functions, and Interactions

Prediction of Protein Structures, Functions, and Interactions
  • Author : Janusz M. Bujnicki
  • Publisher : John Wiley & Sons
  • Release Date : 2008-12-23
  • ISBN : 0470741902
GET THIS BOOKPrediction of Protein Structures, Functions, and Interactions

The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction of Protein Structures, Functions and Interactions presents a comprehensive overview of methods for prediction of protein structure or function, with the emphasis on their availability and possibilities for their combined use. Methods of modeling of individual proteins, prediction of their interactions,

Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
  • Author : Vijaykumar Yogesh Muley,Vishal Acharya
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-07-28
  • ISBN : 9781461447054
GET THIS BOOKGenome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

​​ ​Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.