Protein Bioinformatics: From Protein Modifications and Networks to Proteomics, Wu Cathy H., Arighi Cecilia N., Ross Karen E.
Автор: Dariusz Mrozek Название: Scalable Big Data Analytics for Protein Bioinformatics ISBN: 3319988387 ISBN-13(EAN): 9783319988382 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание:
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.
Post-translational Modifications That Modulate Enzyme Activity, Volume 626 in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Updated chapters include Crosstalk between cellular metabolism and histone acetylation, Isolation of protein complexes and modifications that regulate transcriptional machinery, High-throughput phosphoproteome mapping through multiplexed mass spectrometry, Differentiation of D and L epimerization in proteins, Biochemical analysis of protein arginylation, Site-specific Determination of lysine acetylation stoichiometries on the proteome-scale, Genomic and biochemical analysis of RNA post-transcriptional modifications, Isolation and characterization of glycosylated (neuro)peptides, and more.
Описание: This book provides summarized methods for the preparation, purification of modified peptides, and assessment of their biochemical activities. It features step-by-step detail essential for reproducible results and expert implementation advice.
Автор: J. Rigden, Daniel (Ed.) Название: From Protein Structure to Function with Bioinformatics ISBN: 9402414827 ISBN-13(EAN): 9789402414820 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.
Автор: Yongxian Wang, Zhenghua Wang Название: Proteomics and Biological Networks ISBN: 311046117X ISBN-13(EAN): 9783110461176 Издательство: Walter de Gruyter Цена: 22305.00 р. Наличие на складе: Нет в наличии.
Описание: This book presents molecular biology knowledge and mathematical theories of frequently-used algorithms in sequence comparison, gene finding, sequence evolution and structuring phylogenetic tree.
Автор: Dariusz Mrozek Название: Scalable Big Data Analytics for Protein Bioinformatics ISBN: 3030075389 ISBN-13(EAN): 9783030075385 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание:
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.
Описание: 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.
Автор: Xiangdong Wang Название: Bioinformatics of Human Proteomics ISBN: 9401784973 ISBN-13(EAN): 9789401784979 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Full of useful practical designs and methodologies, this book discusses developing techniques and applications in the field of protein bioinformatics, featuring contributions from expert researchers on topics including protein analysis and drug development.
Автор: Xiangdong Wang Название: Bioinformatics of Human Proteomics ISBN: 9400758103 ISBN-13(EAN): 9789400758100 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Full of useful practical designs and methodologies, this book discusses developing techniques and applications in the field of protein bioinformatics, featuring contributions from expert researchers on topics including protein analysis and drug development.
Описание: This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular, cellular and evolutionary biology.
Автор: Gabriel Waksman Название: Proteomics and Protein-Protein Interactions ISBN: 1489996117 ISBN-13(EAN): 9781489996114 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gabriel Waksman Institute of Structural Molecular Biology, Birkbeck and University College London, Malet Street, London WC1E 7HX, United Kingdom Address for correspondence: Professor Gabriel Waksman Institute of Structural Molecular Biology Birkbeck and University College London Malet Street London WC1E 7H United Kingdom Email: g.
Автор: Cathy H. Wu; Chuming Chen Название: Bioinformatics for Comparative Proteomics ISBN: 1493957902 ISBN-13(EAN): 9781493957903 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated systems and approaches to studying comparative proteomics in the systems biology context.
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