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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
  • Publsiher : Academic Press
  • Release : 15 January 2017
  • ISBN : 9780128098141
  • Pages : 124 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKNew Approaches of Protein Function Prediction from Protein Interaction Networks

Summary:
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


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 : 15 January 2017
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

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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 : 13 January 2017
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

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Functional 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

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Phylogenetic 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

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Homology Molecular Modeling

Homology Molecular Modeling
  • Author : Rafael Trindade Maia,Rômulo Maciel de Moraes Filho,Magnólia De Araújo Campos
  • Publisher : BoD – Books on Demand
  • Release : 10 March 2021
GET THIS BOOKHomology Molecular Modeling

Homology modeling is an extremely useful and versatile technique that is gaining more and more space and demand in research in computational and theoretical biology. This book, “Homology Molecular Modeling - Perspectives and Applications”, brings together unpublished chapters on this technique. In this book, 7 chapters are intimately related to the theme of molecular modeling, carefully selected and edited for academic and scientific readers. It is an indispensable read for anyone interested in the areas of bioinformatics and computational biology. Divided

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Biomolecular Networks

Biomolecular Networks
  • Author : Luonan Chen,Rui-Sheng Wang,Xiang-Sun Zhang
  • Publisher : John Wiley & Sons
  • Release : 29 June 2009
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.

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Data Management of Protein Interaction Networks

Data Management of Protein Interaction Networks
  • Author : Mario Cannataro,Pietro H. Guzzi
  • Publisher : John Wiley & Sons
  • Release : 03 February 2012
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,

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Prediction of Protein Structures, Functions, and Interactions

Prediction of Protein Structures, Functions, and Interactions
  • Author : Janusz M. Bujnicki
  • Publisher : John Wiley & Sons
  • Release : 23 December 2008
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,

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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 : 28 July 2012
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.

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Advances in Computer Science and Education Applications

Advances in Computer Science and Education Applications
  • Author : Mark Zhou,Honghua Tan
  • Publisher : Springer Science & Business Media
  • Release : 30 June 2011
GET THIS BOOKAdvances in Computer Science and Education Applications

This two-volume set (CCIS 201 and CCIS 202) constitutes the refereed proceedings of the International Conference on Computer Science and Education, CSE 2011, held in Qingdao, China, in July 2011. The 164 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. The papers address a large number of research topics and applications: from artificial intelligence to computers and information technology; from education systems to methods research and other related issues; such as: database technology, computer architecture,

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Advances in Protein Molecular and Structural Biology Methods

Advances in Protein Molecular and Structural Biology Methods
  • Author : Timir Tripathi,Vikash Kumar Dubey
  • Publisher : Academic Press
  • Release : 14 January 2022
GET THIS BOOKAdvances in Protein Molecular and Structural Biology Methods

Advances in Protein Molecular and Structural Biology Methods offers a complete overview of the latest tools and methods applicable to the study of proteins at the molecular and structural level. The book begins with sections exploring tools to optimize recombinant protein expression and biophysical techniques such as fluorescence spectroscopy, NMR, mass spectrometry, cryo-electron microscopy, and X-ray crystallography. It then moves towards computational approaches, considering structural bioinformatics, molecular dynamics simulations, and deep machine learning technologies. The book also covers methods applied

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Probabilistic Integration of Heterogeneous, Contextual, and Cross-species Genome-wide Data for Protein Function Prediction

Abstract: Completed genome sequences from many organisms have revealed many genes with no known function. A critical challenge is the development of methods that will aid in the discovery of the molecular functions of the newly discovered genes, while identifying the biological processes in which these genes participate. Current sequence-based methods frequently fail to annotate gene function accurately. New computational approaches combining genomic, transcriptional and proteomic data generated from high-throughput technologies offer potential routes toward predictions of increased accuracy and

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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 : 19 October 2016
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

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Intelligent Computing Theories and Application

Intelligent Computing Theories and Application
  • Author : De-Shuang Huang,Kang-Hyun Jo
  • Publisher : Springer Nature
  • Release : 13 October 2020
GET THIS BOOKIntelligent Computing Theories and Application

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

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