High-Performance Computational Solutions in Protein Bioinformatics

High-Performance Computational Solutions in Protein Bioinformatics

Author: Dariusz Mrozek

Publisher: Springer

Published: 2014-06-04

Total Pages: 120

ISBN-13: 3319069713

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Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases.


Book Synopsis High-Performance Computational Solutions in Protein Bioinformatics by : Dariusz Mrozek

Download or read book High-Performance Computational Solutions in Protein Bioinformatics written by Dariusz Mrozek and published by Springer. This book was released on 2014-06-04 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases.

The Ten Most Wanted Solutions in Protein Bioinformatics

The Ten Most Wanted Solutions in Protein Bioinformatics

Author: Anna Tramontano

Publisher: CRC Press

Published: 2005-05-24

Total Pages: 219

ISBN-13: 1420035002

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Utilizing high speed computational methods to extrapolate to the rest of the protein universe, the knowledge accumulated on a subset of examples, protein bioinformatics seeks to accomplish what was impossible before its invention, namely the assignment of functions or functional hypotheses for all known proteins.The Ten Most Wanted Solutions in Pro


Book Synopsis The Ten Most Wanted Solutions in Protein Bioinformatics by : Anna Tramontano

Download or read book The Ten Most Wanted Solutions in Protein Bioinformatics written by Anna Tramontano and published by CRC Press. This book was released on 2005-05-24 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilizing high speed computational methods to extrapolate to the rest of the protein universe, the knowledge accumulated on a subset of examples, protein bioinformatics seeks to accomplish what was impossible before its invention, namely the assignment of functions or functional hypotheses for all known proteins.The Ten Most Wanted Solutions in Pro

Protein Bioinformatics

Protein Bioinformatics

Author: M. Michael Gromiha

Publisher: Academic Press

Published: 2010-09-08

Total Pages: 350

ISBN-13: 8131222977

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Book Synopsis Protein Bioinformatics by : M. Michael Gromiha

Download or read book Protein Bioinformatics written by M. Michael Gromiha and published by Academic Press. This book was released on 2010-09-08 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features: --

Protein Bioinformatics

Protein Bioinformatics

Author: Ingvar Eidhammer

Publisher: John Wiley & Sons

Published: 2004-02-13

Total Pages: 384

ISBN-13:

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Pairwise global alignment of sequences. Pairwise local alignment and database search. Statical analysis. Multiple global alignment and phylogenetic trees. Scoring matrices. Profiles. Sequence patterns. Structures and structure descriptions. Superposition and Dynamic programming. Geometric techniques. Clustering: Combining local similarities. Significance and assessment of structure comparisons. Multiple structure comparison. Protein structure classification. Structure prediction: Threading. Basics in mathematics, probability and algorithms. Introduction to molecular biology.


Book Synopsis Protein Bioinformatics by : Ingvar Eidhammer

Download or read book Protein Bioinformatics written by Ingvar Eidhammer and published by John Wiley & Sons. This book was released on 2004-02-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pairwise global alignment of sequences. Pairwise local alignment and database search. Statical analysis. Multiple global alignment and phylogenetic trees. Scoring matrices. Profiles. Sequence patterns. Structures and structure descriptions. Superposition and Dynamic programming. Geometric techniques. Clustering: Combining local similarities. Significance and assessment of structure comparisons. Multiple structure comparison. Protein structure classification. Structure prediction: Threading. Basics in mathematics, probability and algorithms. Introduction to molecular biology.

Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics

Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics

Author: Lukasz Kurgan

Publisher: World Scientific

Published: 2022-12-06

Total Pages: 378

ISBN-13: 9811258597

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Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.


Book Synopsis Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics by : Lukasz Kurgan

Download or read book Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics written by Lukasz Kurgan and published by World Scientific. This book was released on 2022-12-06 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.

Scalable Big Data Analytics for Protein Bioinformatics

Scalable Big Data Analytics for Protein Bioinformatics

Author: Dariusz Mrozek

Publisher: Springer

Published: 2018-09-25

Total Pages: 315

ISBN-13: 3319988395

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This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes. The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures. The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases.


Book Synopsis Scalable Big Data Analytics for Protein Bioinformatics by : Dariusz Mrozek

Download or read book Scalable Big Data Analytics for Protein Bioinformatics written by Dariusz Mrozek and published by Springer. This book was released on 2018-09-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes. The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures. The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases.

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Author: Yi Pan

Publisher: John Wiley & Sons

Published: 2013-10-07

Total Pages: 534

ISBN-13: 1118567811

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Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.


Book Synopsis Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics by : Yi Pan

Download or read book Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics written by Yi Pan and published by John Wiley & Sons. This book was released on 2013-10-07 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Practical Protein Bioinformatics

Practical Protein Bioinformatics

Author: Florencio Pazos

Publisher: Springer

Published: 2016-08-23

Total Pages: 0

ISBN-13: 9783319381848

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This book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed explanations on how to use these tools and interpret their results and minimal mentions to their theoretical basis (only when that is required for making a better use of them). It covers a wide range of tools for dealing with different aspects of proteins, from their sequences, to their three-dimensional structures, and the biological networks they are immersed in. The selection of tools is based on the experience of the authors that lead a protein bioinformatics facility in a large research centre, with the additional constraint that the tools should be accessible through standard web browsers without requiring the local installation of specific software, command-line tools, etc. The web tools covered include those aimed to retrieve protein information, look for similar proteins, generate pair-wise and multiple sequence alignments of protein sequences, work with protein domains and motifs, study the phylogeny of a family of proteins, retrieve, manipulate and visualize protein three-dimensional structures, predict protein structural features as well as whole three-dimensional structures, extract biological information from protein structures, summarize large protein sets, study protein interaction and metabolic networks, etc. The book is associated to a dynamic web site that will reflect changes in the web addresses of the tools, updates of these, etc. It also contains QR codes that can be scanned with any device to direct its browser to the tool web site. This monograph will be most valuable for researchers in experimental labs without specific knowledge on bioinformatics or computing.


Book Synopsis Practical Protein Bioinformatics by : Florencio Pazos

Download or read book Practical Protein Bioinformatics written by Florencio Pazos and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed explanations on how to use these tools and interpret their results and minimal mentions to their theoretical basis (only when that is required for making a better use of them). It covers a wide range of tools for dealing with different aspects of proteins, from their sequences, to their three-dimensional structures, and the biological networks they are immersed in. The selection of tools is based on the experience of the authors that lead a protein bioinformatics facility in a large research centre, with the additional constraint that the tools should be accessible through standard web browsers without requiring the local installation of specific software, command-line tools, etc. The web tools covered include those aimed to retrieve protein information, look for similar proteins, generate pair-wise and multiple sequence alignments of protein sequences, work with protein domains and motifs, study the phylogeny of a family of proteins, retrieve, manipulate and visualize protein three-dimensional structures, predict protein structural features as well as whole three-dimensional structures, extract biological information from protein structures, summarize large protein sets, study protein interaction and metabolic networks, etc. The book is associated to a dynamic web site that will reflect changes in the web addresses of the tools, updates of these, etc. It also contains QR codes that can be scanned with any device to direct its browser to the tool web site. This monograph will be most valuable for researchers in experimental labs without specific knowledge on bioinformatics or computing.

Protein Bioinformatics

Protein Bioinformatics

Author: Frédérique Lisacek

Publisher: Humana

Published: 2024-09-05

Total Pages: 0

ISBN-13: 9781071640067

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This detailed volume explores techniques for protein bioinformatics research, including databases, software tools, and computational methods, in the context of protein science or proteomics and opening to other omics areas. Beginning with a section on proteogenomics, the book continues by covering posttranslational modifications, processing large-scale mass spectrometry data, protein structure and interactions, as well as protein feature inference. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice to ensure efficacious results. Authoritative and practical, Protein Bioinformatics serves as an ideal guide for researchers in disciplines encompassing the biotechnological, pharmaceutical, biological, and medical sciences, as well as the computational and engineering sciences.


Book Synopsis Protein Bioinformatics by : Frédérique Lisacek

Download or read book Protein Bioinformatics written by Frédérique Lisacek and published by Humana. This book was released on 2024-09-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume explores techniques for protein bioinformatics research, including databases, software tools, and computational methods, in the context of protein science or proteomics and opening to other omics areas. Beginning with a section on proteogenomics, the book continues by covering posttranslational modifications, processing large-scale mass spectrometry data, protein structure and interactions, as well as protein feature inference. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice to ensure efficacious results. Authoritative and practical, Protein Bioinformatics serves as an ideal guide for researchers in disciplines encompassing the biotechnological, pharmaceutical, biological, and medical sciences, as well as the computational and engineering sciences.

Protein Bioinformatics

Protein Bioinformatics

Author: Cathy H. Wu

Publisher: Humana

Published: 2017-02-03

Total Pages: 0

ISBN-13: 9781493967810

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This volume introduces bioinformatics research methods for proteins, with special focus on protein post-translational modifications (PTMs) and networks. This book is organized into four parts and covers the basic framework and major resources for analysis of protein sequence, structure, and function; approaches and resources for analysis of protein PTMs, protein-protein interactions (PPIs) and protein networks, including tools for PPI prediction and approaches for the construction of PPI and PTM networks; and bioinformatics approaches in proteomics, including computational methods for mass spectrometry-based proteomics and integrative analysis for alternative splice isoforms, for functional discovery. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory or computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Protein Bioinformatics: From Protein Modifications and Networks to Proteomics is a valuable resource for readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods, and future trends in protein and proteomic data analysis in systems biology. This book is useful to researchers who work in the biotechnology and pharmaceutical industries, and in various academic departments, such as biological and medical sciences and computer sciences and engineering.


Book Synopsis Protein Bioinformatics by : Cathy H. Wu

Download or read book Protein Bioinformatics written by Cathy H. Wu and published by Humana. This book was released on 2017-02-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume introduces bioinformatics research methods for proteins, with special focus on protein post-translational modifications (PTMs) and networks. This book is organized into four parts and covers the basic framework and major resources for analysis of protein sequence, structure, and function; approaches and resources for analysis of protein PTMs, protein-protein interactions (PPIs) and protein networks, including tools for PPI prediction and approaches for the construction of PPI and PTM networks; and bioinformatics approaches in proteomics, including computational methods for mass spectrometry-based proteomics and integrative analysis for alternative splice isoforms, for functional discovery. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory or computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Protein Bioinformatics: From Protein Modifications and Networks to Proteomics is a valuable resource for readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods, and future trends in protein and proteomic data analysis in systems biology. This book is useful to researchers who work in the biotechnology and pharmaceutical industries, and in various academic departments, such as biological and medical sciences and computer sciences and engineering.