New Approaches of Protein Function Prediction from Protein Interaction Networks

Produk Detail:
  • Author : Jingyu Hou
  • Publisher : Academic Press
  • Pages : 124 pages
  • ISBN : 0128099445
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>New Approaches of Protein Function Prediction from Protein Interaction Networks

Download or Read online New Approaches of Protein Function Prediction from Protein Interaction Networks full in PDF, ePub and kindle. this book written by Jingyu Hou and published by Academic Press which was released on 13 January 2017 with total page 124 pages. We cannot guarantee that New Approaches of Protein Function Prediction from Protein Interaction Networks book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 : 13 January 2017
GET THIS BOOK New 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

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 : 23 July 2021
GET THIS BOOK 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

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 : 23 July 2021
GET THIS BOOK Protein 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

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 : 23 July 2021
GET THIS BOOK 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

Biomolecular Networks

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

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 : 23 July 2021
GET THIS BOOK Development 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 Function Prediction for Omics Era

Protein Function Prediction for Omics Era
  • Author : Daisuke Kihara
  • Publisher : Springer Science & Business Media
  • Release : 19 April 2011
GET THIS BOOK Protein Function Prediction for Omics Era

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of

Protein protein Interactions and Networks

Protein protein Interactions and Networks
  • Author : Anna Panchenko,Teresa M. Przytycka
  • Publisher : Springer Science & Business Media
  • Release : 06 April 2010
GET THIS BOOK Protein 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.

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 BOOK Protein 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

Network based Information Integration for Protein Function Prediction

Network based Information Integration for Protein Function Prediction
  • Author : Xiaoyu Jiang
  • Publisher : Unknown
  • Release : 23 July 2021
GET THIS BOOK Network 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

Structure driven Approaches to Protein protein Recognition

Structure driven Approaches to Protein protein Recognition
  • Author : Julian Mintseris
  • Publisher : Unknown
  • Release : 23 July 2021
GET THIS BOOK Structure driven Approaches to Protein protein Recognition

Abstract: Much of our understanding of protein function arises from the cellular context in which the protein operates. While two proteins may be functionally linked in a variety of ways, the most direct way for them to interact is through physical recognition of the protein surface followed by a binding event. If the function of a single protein can be understood in terms of its interactions, then the function of a biological system as a whole can be viewed through

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 BOOK Data 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,

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

Probabilistic Integration of Heterogeneous  Contextual  and Cross species Genome wide Data for Protein Function Prediction
  • Author : Naoki Nariai
  • Publisher : Unknown
  • Release : 23 July 2021
GET THIS BOOK 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

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 BOOK Prediction 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,