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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

Functional Module Identification and Function Prediction from Protein Interaction Networks
  • Author : Young-Rae Cho
  • Publisher : Anonim
  • Release : 27 October 2021
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

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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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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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Neuroproteomics

Neuroproteomics
  • Author : Oscar Alzate
  • Publisher : CRC Press
  • Release : 26 October 2009
GET THIS BOOKNeuroproteomics

In this, the post-genomic age, our knowledge of biological systems continues to expand and progress. As the research becomes more focused, so too does the data. Genomic research progresses to proteomics and brings us to a deeper understanding of the behavior and function of protein clusters. And now proteomics gives way to neuroproteomics as we begin to unravel the complex mysteries of neurological diseases that less than a generation ago seemed opaque to our inquiries, if not altogether intractable. Edited

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Gene Function

Gene Function
  • Author : S. Rosenthal,H. Bielka,Ch. Coutelle
  • Publisher : Elsevier
  • Release : 09 May 2014
GET THIS BOOKGene Function

Gene Function, contains the proceedings of the 12th Meeting of the Federation of European Biochemical Societies held in Dresden, Germany in 1978. The meeting provided a forum for discussing progress in the understanding of gene function and covered topics ranging from the functional organization of chromatin to principles of interactions and recognition models. The role of DNA sequence in the recognition of restriction endonucleases and modification enzymes is also examined, along with gene expression, RNA processing and modification, and isolation and

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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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Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics

Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics
  • Author : Thomas Stützle
  • Publisher : Springer
  • Release : 27 November 2009
GET THIS BOOKLearning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics

LION 3, the Third International Conference on Learning and Intelligent Op- mizatioN, was held during January 14–18 in Trento, Italy. The LION series of conferences provides a platform for researchers who are interested in the int- section of e?cient optimization techniques and learning. It is aimed at exploring the boundaries and uncharted territories between machine learning, arti?cial intelligence, mathematical programming and algorithms for hard optimization problems. The considerable interest in the topics covered by LION was re?ected by the

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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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Structural Bioinformatics

Structural Bioinformatics
  • Author : Jenny Gu,Philip E. Bourne
  • Publisher : John Wiley & Sons
  • Release : 20 September 2011
GET THIS BOOKStructural Bioinformatics

Structural Bioinformatics was the first major effort to showthe application of the principles and basic knowledge of the largerfield of bioinformatics to questions focusing on macromolecularstructure, such as the prediction of protein structure and howproteins carry out cellular functions, and how the application ofbioinformatics to these life science issues can improve healthcareby accelerating drug discovery and development. Designed primarilyas a reference, the first edition nevertheless saw widespread useas a textbook in graduate and undergraduate university coursesdealing with the theories and

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Computational Prediction of Protein Complexes from Protein Interaction Networks

Computational Prediction of Protein Complexes from Protein Interaction Networks
  • Author : Sriganesh Srihari,Chern Han Yong,Limsoon Wong
  • Publisher : Morgan & Claypool
  • Release : 30 May 2017
GET THIS BOOKComputational Prediction of Protein Complexes from Protein Interaction Networks

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

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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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Sequence — Evolution — Function

Sequence — Evolution — Function
  • Author : Eugene V. Koonin,Michael Galperin
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKSequence — Evolution — Function

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the

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Protein-Protein Interaction Networks

Protein-Protein Interaction Networks
  • Author : Stefan Canzar,Francisca Rojas Ringeling
  • Publisher : Humana
  • Release : 18 October 2020
GET THIS BOOKProtein-Protein Interaction Networks

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

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The Gene Ontology Handbook

The Gene Ontology Handbook
  • Author : Christophe Dessimoz,Nives Skunca
  • Publisher : Anonim
  • Release : 08 October 2020
GET THIS BOOKThe Gene Ontology Handbook

This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing

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