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Protein Function Prediction

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New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks Book
Author : Jingyu Hou
Publisher : Academic Press
Release : 2017-01-13
ISBN : 0128099445
Language : En, Es, Fr & De

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Book Description :

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

Prediction of Protein Structures Functions and Interactions

Prediction of Protein Structures  Functions  and Interactions Book
Author : Janusz M. Bujnicki
Publisher : John Wiley & Sons
Release : 2008-12-23
ISBN : 9780470741900
Language : En, Es, Fr & De

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Book Description :

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, and docking of complexes are put in the context of predicting gene ontology (biological process, molecular function, and cellular component) and discussed in the light of their contribution to the emerging field of systems biology. Topics covered include: first steps of protein sequence analysis and structure prediction automated prediction of protein function from sequence template-based prediction of three-dimensional protein structures: fold-recognition and comparative modelling template-free prediction of three-dimensional protein structures quality assessment of protein models prediction of molecular interactions: from small ligands to large protein complexes macromolecular docking integrating prediction of structure, function, and interactions Prediction of Protein Structures, Functions and Interactions focuses on the methods that have performed well in CASPs, and which are constantly developed and maintained, and are freely available to academic researchers either as web servers or programs for local installation. It is an essential guide to the newest, best methods for prediction of protein structure and functions, for researchers and advanced students working in structural bioinformatics, protein chemistry, structural biology and drug discovery.

From Protein Structure to Function with Bioinformatics

From Protein Structure to Function with Bioinformatics Book
Author : Daniel John Rigden
Publisher : Springer Science & Business Media
Release : 2008-12-11
ISBN : 1402090587
Language : En, Es, Fr & De

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Book Description :

Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.

Homology Molecular Modeling

Homology Molecular Modeling Book
Author : Rafael Trindade Maia,Rômulo Maciel de Moraes Filho,Magnólia De Araújo Campos
Publisher : BoD – Books on Demand
Release : 2021-03-10
ISBN : 1839628057
Language : En, Es, Fr & De

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Book Description :

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 into 4 sections, the reader will have a didactic and comprehensive view of the theme, with updated and relevant concepts on the subject. This book was organized from researchers to researchers with the aim of spreading the fascinating area of molecular modeling by homology.

Introduction to Protein Structure Prediction

Introduction to Protein Structure Prediction Book
Author : Huzefa Rangwala,George Karypis
Publisher : John Wiley & Sons
Release : 2011-03-16
ISBN : 9781118099469
Language : En, Es, Fr & De

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Book Description :

A look at the methods and algorithms used to predict proteinstructure A thorough knowledge of the function and structure of proteinsis critical for the advancement of biology and the life sciences aswell as the development of better drugs, higher-yield crops, andeven synthetic bio-fuels. To that end, this reference sheds lighton the methods used for protein structure prediction and revealsthe key applications of modeled structures. This indispensable bookcovers the applications of modeled protein structures and unravelsthe relationship between pure sequence information andthree-dimensional structure, which continues to be one of thegreatest challenges in molecular biology. With this resource, readers will find an all-encompassingexamination of the problems, methods, tools, servers, databases,and applications of protein structure prediction and they willacquire unique insight into the future applications of the modeledprotein structures. The book begins with a thorough introduction tothe protein structure prediction problem and is divided into fourthemes: a background on structure prediction, the prediction ofstructural elements, tertiary structure prediction, and functionalinsights. Within those four sections, the following topics arecovered: Databases and resources that are commonly used for proteinstructure prediction The structure prediction flagship assessment (CASP) and theprotein structure initiative (PSI) Definitions of recurring substructures and the computationalapproaches used for solving sequence problems Difficulties with contact map prediction and how sophisticatedmachine learning methods can solve those problems Structure prediction methods that rely on homology modeling,threading, and fragment assembly Hybrid methods that achieve high-resolution proteinstructures Parts of the protein structure that may be conserved and usedto interact with other biomolecules How the loop prediction problem can be used for refinement ofthe modeled structures The computational model that detects the differences betweenprotein structure and its modeled mutant Whether working in the field of bioinformatics or molecularbiology research or taking courses in protein modeling, readerswill find the content in this book invaluable.

Molecular Biology of the Cell

Molecular Biology of the Cell Book
Author : Bruce Alberts
Publisher : Unknown
Release : 2004
ISBN : 9780815332183
Language : En, Es, Fr & De

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Book Description :

Download Molecular Biology of the Cell book written by Bruce Alberts, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Sequence based Protein Function Prediction

Sequence based Protein Function Prediction Book
Author : Brett Poulin
Publisher : Unknown
Release : 2004
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Sequence based Protein Function Prediction book written by Brett Poulin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Prediction of Protein Structure and the Principles of Protein Conformation

Prediction of Protein Structure and the Principles of Protein Conformation Book
Author : G.D. Fasman
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461315719
Language : En, Es, Fr & De

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Book Description :

The prediction of the conformation of proteins has developed from an intellectual exercise into a serious practical endeavor that has great promise to yield new stable enzymes, products of pharmacological significance, and catalysts of great potential. With the application of predic tion gaining momentum in various fields, such as enzymology and immunology, it was deemed time that a volume be published to make available a thorough evaluation of present methods, for researchers in this field to expound fully the virtues of various algorithms, to open the field to a wider audience, and to offer the scientific public an opportunity to examine carefully its successes and failures. In this manner the practitioners of the art could better evaluate the tools and the output so that their expectations and applications could be more realistic. The editor has assembled chapters by many of the main contributors to this area and simultaneously placed their programs at three national resources so that they are readily available to those who wish to apply them to their personal interests. These algorithms, written by their originators, when utilized on pes or larger computers, can instantaneously take a primary amino acid sequence and produce a two-or three-dimensional artistic image that gives satisfaction to one's esthetic sensibilities and food for thought concerning the structure and function of proteins. It is in this spirit that this volume was envisaged.

Protein Bioinformatics

Protein Bioinformatics Book
Author : M. Michael Gromiha
Publisher : Academic Press
Release : 2011-04-21
ISBN : 0123884241
Language : En, Es, Fr & De

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Book Description :

One of the most pressing tasks in biotechnology today is to unlock the function of each of the thousands of new genes identified every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source reference covers all aspects of proteins, explaining fundamentals, synthesizing the latest literature, and demonstrating the most important bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics, proteomics, protein engineering, biophysics, computational biology, molecular modeling, and drug design will find this a ready reference for staying current and productive in this fast evolving interdisciplinary field. Explains all aspects of proteins including sequence and structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions Presents a cohesive and accessible overview of the field, using illustrations to explain key concepts and detailed exercises for students.

Essential Bioinformatics

Essential Bioinformatics Book
Author : Jin Xiong
Publisher : Cambridge University Press
Release : 2006-03-13
ISBN : 113945062X
Language : En, Es, Fr & De

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Book Description :

Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

The Semantic Web

The Semantic Web Book
Author : Vipul Kashyap,Christoph Bussler,Matthew Moran
Publisher : Springer Science & Business Media
Release : 2008-08-15
ISBN : 3540764518
Language : En, Es, Fr & De

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Book Description :

The Semantic Web is a vision – the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception that the Semantic Web is a rehash of existing AI and database work. Kashyap, Bussler, and Moran dispel this notion by presenting the multi-disciplinary technological underpinnings such as machine learning, information retrieval, service-oriented architectures, and grid computing. Thus they combine the informational and computational aspects needed to realize the full potential of the Semantic Web vision.

Bioinformatics and Human Genomics Research

Bioinformatics and Human Genomics Research Book
Author : Diego A. Forero
Publisher : Unknown
Release : 2021
ISBN : 9780367437602
Language : En, Es, Fr & De

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Book Description :

The book Bioinformatics and Human Genomics Research provides up to date and comprehensive information about multiple approaches of bioinformatic tools in research in human genomics. Experts, from around the worlds of the applications in bioinformatics and human genomics have contributed chapters in the book.

Protein Structure Prediction

Protein Structure Prediction Book
Author : David M. Webster
Publisher : Springer Science & Business Media
Release : 2000
ISBN : 1592593682
Language : En, Es, Fr & De

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Book Description :

The deeper understanding of protein structure now emerging from cutting-edge research is not only illuminating evolutionary and biochemical mechanisms, but also promises enormous ramifications for molecular medicine, as well as for biotechnology, biophysics, biology, genetics, and other molecular sciences. In Protein Structure Prediction: Methods and Protocols, world-class investigators detail their most successful methods-and the theory behind them-for delineating the shape, form, and function of proteins. The protocols range from basic to advanced and include sequence alignment, the prediction of transmembrane protein structure, and the development of suitable folding potentials. There are also techniques for receptor site prediction, the identification of motifs and domains, the comparative modeling of proteins, the docking of peptides and ligands, and ab initio approaches to protein loop and side-chain prediction. To ensure robust and successful experimental results, each protocol contains step-by-step instructions, as well as tips on pitfalls to avoid and how procedures may be optimized for different systems. Comprehensive, accessible, and highly practical, Protein Structure Prediction: Methods and Protocols offers protein researchers, structural biologists, and other investigators a critical synthesis of the latest research results, as well as the vital guidance needed to understand the structure and interaction of proteins and peptides.

Protein Function Prediction from Protein Interaction Network

Protein Function Prediction from Protein Interaction Network Book
Author : Sovan Saha,Piyali Chatterjee
Publisher : LAP Lambert Academic Publishing
Release : 2013
ISBN : 9783659402784
Language : En, Es, Fr & De

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Book Description :

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 experiments are also used in prediction of protein function. As experimental techniques for detection and validation of protein interactions are time consuming, there is a need for computational methods for this task. Based on the concept that a protein performs similar function like its neighbor in protein interaction network, a method is proposed to predict protein function using protein-protein interaction data.This analysis should enlighten the path for predicting unannotated protein function hence identifying diseases and inventing methods of it's cureness.

The Gene Ontology Handbook

The Gene Ontology Handbook Book
Author : Christophe Dessimoz,Nives Skunca
Publisher : Unknown
Release : 2020-10-08
ISBN : 9781013267703
Language : En, Es, Fr & De

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Book Description :

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 practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

PROTEIN FUNCTION PREDICTION BA

PROTEIN FUNCTION PREDICTION BA Book
Author : Yatong An,{273a67}亚{275c28}
Publisher : Open Dissertation Press
Release : 2017-01-26
ISBN : 9781361011638
Language : En, Es, Fr & De

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Book Description :

This dissertation, "Protein Function Prediction Based on Pocket-specific Noncontiguous Amino Acid Subsequences" by Yatong, An, {273a67}亚{275c28}, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Building a protein functional repertoire is important for many life sciences. Unfortunately, less than 1% of protein sequences have been annotated with reliable evidence. The use of computational methods to predict protein functions has become a common means to bridge this formidable gap. In this thesis, it is proposed to use pocket-specific noncontiguous amino acid subsequences for predicting protein functions. These subsequence patterns have a strong function classification capability and are also complementary to protein sequence alignment methods. On the basis of a benchmark of ∼1600 testing proteins from the Protein Data Bank (PDB), It is demonstrated that function prediction using pocket-specific noncontiguous amino acid subsequences can be much more accurate than using three-dimensional pocket structures. Because these noncontiguous amino acid subsequences are independent of protein or pocket structures, the method based on such subsequence patterns can be easily applied to proteins with unknown structures. Predictors achieve state-of-the-art performance on two benchmarks constructed using proteins from the PDB and SwissProt respectively. Then protein sequence alignment features are further integrated into our pocket-specific noncontiguous subsequence model. The maximum F-measure of the integrated predictor on the PDB-based benchmark is 0.844 for the molecular function (MF) ontology and 0.838 for the biological process (BP) ontology, representing respective performance improvements of 47.8% and 48.3% over best results achieved with existing methods. On the SwissProt-based benchmark, the maximum Fmeasure of the integrated predictor is 0.627 for MF and 0.468 for BP, representing respective performance improvements of 29.0% and 38.1% over best results achieved with existing methods. Subjects: Amino acid sequence Proteomics - Data processing

Protein Function Prediction by Integrating Sequence Structure and Binding Affinity Information

Protein Function Prediction by Integrating Sequence  Structure and Binding Affinity Information Book
Author : Huiying Zhao
Publisher : Unknown
Release : 2013
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Proteins are nano-machines that work inside every living organism. Functional disruption of one or several proteins is the cause for many diseases. However, the functions for most proteins are yet to be annotated because inexpensive sequencing techniques dramatically speed up discovery of new protein sequences (265 million and counting) and experimental examinations of every protein in all its possible functional categories are simply impractical. Thus, it is necessary to develop computational function-prediction tools that complement and guide experimental studies. In this study, we developed a series of predictors for highly accurate prediction of proteins with DNA-binding, RNA-binding and carbohydrate-binding capability. These predictors are a template-based technique that combines sequence and structural information with predicted binding affinity. Both sequence and structure-based approaches were developed. Results indicate the importance of binding affinity prediction for improving sensitivity and precision of function prediction. Application of these methods to the human genome and structure genome targets demonstrated its usefulness in annotating proteins of unknown functions and discovering moon-lighting proteins with DNA, RNA, or carbohydrate binding function. In addition, we also investigated disruption of protein functions by naturally occurring genetic variations due to insertions and deletions (INDELS). We found that protein structures are the most critical features in recognising disease-causing non-frame shifting INDELs. The predictors for function predictions are available at http://sparks-lab.org/spot, and the predictor for classification of non-frame shifting INDELs is available at http://sparks-lab.org/ddig.

Protein Function Prediction for Omics Era

Protein Function Prediction for Omics Era Book
Author : Daisuke Kihara
Publisher : Springer Science & Business Media
Release : 2011-04-19
ISBN : 9400708815
Language : En, Es, Fr & De

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Book Description :

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 them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

Prediction of Protein Secondary Structure

Prediction of Protein Secondary Structure Book
Author : Yaoqi Zhou,Andrzej Kloczkowski,Eshel Faraggi,Yuedong Yang
Publisher : Humana
Release : 2018-06-08
ISBN : 9781493981892
Language : En, Es, Fr & De

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Book Description :

This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists.

Bioinformatics

Bioinformatics Book
Author : Christine Orengo,David Jones,Janet Thornton
Publisher : Taylor & Francis
Release : 2003-12-16
ISBN : 1135325235
Language : En, Es, Fr & De

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Book Description :

Bioinformatics, the use of computers to address biological questions, has become an essential tool in biological research. It is one of the critical keys needed to unlock the information encoded in the flood of data generated by genome, protein structure, transcriptome and proteome research. Bioinformatics: Genes, Proteins & Computers covers both the more traditional approaches to bioinformatics, including gene and protein sequence analysis and structure prediction, and more recent technologies such as datamining of transcriptomic and proteomic data to provide insights on cellular mechanisms and the causes of disease.