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Computational Prediction of Protein Complexes from Protein Interaction Networks, Sriganesh Srihari, Chern Han Yong, Limsoon Wong


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Автор: Sriganesh Srihari, Chern Han Yong, Limsoon Wong
Название:  Computational Prediction of Protein Complexes from Protein Interaction Networks
ISBN: 9781970001525
Издательство: Mare Nostrum (Eurospan)
Классификация:





ISBN-10: 1970001526
Обложка/Формат: Paperback
Страницы: 295
Вес: 0.51 кг.
Дата издания: 30.05.2017
Язык: English
Размер: 235 x 191 x 16
Ключевые слова: Cytology,Biology, life sciences,DNA & Genome,Cellular biology (cytology),Maths for computer scientists, COMPUTERS / Bioinformatics,SCIENCE / Life Sciences / Biology,SCIENCE / Life Sciences / Cell Biology
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Поставляется из: Англии
Описание: 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 Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions.In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.
Дополнительное описание: Cellular biology (cytology)|Maths for computer scientists|Genetics (non-medical)|Computational biology / bioinformatics|Biology, life sciences|Cytology



Computational Prediction of Protein Complexes from Protein Interaction Networks

Автор: Sriganesh Srihari, Chern Han Yong, Limsoon Wong
Название: Computational Prediction of Protein Complexes from Protein Interaction Networks
ISBN: 1970001550 ISBN-13(EAN): 9781970001556
Издательство: Mare Nostrum (Eurospan)
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Цена: 12860.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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 Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions.In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.

RNA-Protein Interaction Protocols

Автор: Ren-Jang Lin
Название: RNA-Protein Interaction Protocols
ISBN: 1617375551 ISBN-13(EAN): 9781617375552
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This updated and expanded second edition examines cutting-edge techniques developed recently, along with tried-and-tested methods. Expert contributors explore the isolation and characterization of RNA-protein complexes and related novel techniques.

Carbohydrate-Protein Interaction

Автор: Adrienne E. Clarke; Ian A. Wilson
Название: Carbohydrate-Protein Interaction
ISBN: 3642466435 ISBN-13(EAN): 9783642466434
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Until relatively recently, interest in complex carbohydrates focussed on their structural role in the extracellular matrix/ cell wall of animal, plant, and microbial cells and on their role as energy sources (e.g., starch and glycogen) and struc- tural components (e.g., cellulose) in natural products.

Systems Analysis of Chromatin-Related Protein Complexes in Cancer

Автор: Andrew Emili; Jack Greenblatt; Shoshana Wodak
Название: Systems Analysis of Chromatin-Related Protein Complexes in Cancer
ISBN: 1493900897 ISBN-13(EAN): 9781493900893
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book identifies RNA molecules associated with various chromatin-modifying machines. It explores the biological significance of chromatin machines in cancer (and the development and differentiation of stem cells).

RNA-Protein Complexes and Interactions

Автор: Ren-Jang Lin
Название: RNA-Protein Complexes and Interactions
ISBN: 1493935895 ISBN-13(EAN): 9781493935895
Издательство: Springer
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Цена: 19564.00 р.
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Описание:

1. Characterization of RNA-Protein Interactions: Lessons from Two RNA-Binding Proteins, SRSF1 and SRSF2

Lindsey Skrdlant and Ren-Jang Lin

2. Identification of mRNA-Interacting Factors by MS2-TRAP (MS2-Tagged RNA Affinity Purification)

Je-Hyun Yoon and Myriam Gorospe

3. Biotin-Streptavidin Affinity Purification of RNA-Protein Complexes Assembled In Vitro

Shuai Hou, Lei Shi, and Haixin Lei

4. Detecting RNA-Protein Interaction Using End-Labeled Biotinylated RNA Oligonucleotides and Immunoblotting

Xuexiu Zheng, Sunghee Cho, Heegyum Moon, Tiing Jen Loh, Hana Jang, and Haihong Shen

5. Purification of RNA-Protein Splicing Complexes Using a Tagged Protein from In Vitro Splicing Reaction Mixture

Naoyuki Kataoka

6. Loading of Argonaute Protein with Small Duplex RNA in Cellular Extracts

Keith T. Gagnon

7. In Vitro Analysis of Ribonucleoprotein Complex Remodeling and Disassembly

Hua-Lin Zhou and Hua Lou

8. Single-Turnover Kinetics of Methyl Transfer to tRNA by Methyltransferases

Ya-Ming Hou

9. Purification and Functional Reconstitution of Box H/ACA Ribonucleoprotein Particles

Chao Huang, Guowei Wu, and Yi-Tao Yu

10. Northwestern Blot Analysis: Detecting RNA-Protein Interaction After Gel Separation of Protein Mixture

Shangbing Zang and Ren-Jang Lin

11. Measuring mRNA Translation by Polysome Profiling

Marek Kudla and Fedor V. Karginov

12. Genome-Wide Profiling of RNA-Protein Interactions Using CLIP-Seq

Cheryl Stork and Sika Zheng

13. Identification of Endogenous mRNA-Binding Proteins in Yeast Using Crosslinking and PolyA Enrichment

Sarah F. Mitchell and Roy Parker

14. Ribo-Proteomics Approach to Profile RNA-Protein and Protein-Protein Interaction Networks

Hsin-Sung Yeh, Jae-Woong Chang, and Jeongsik Yong

15. Detection of Protein-Protein Interaction Within an RNA-Protein Complex Via Unnatural-Amino-Acid-Mediated Photochemical Crosslinking

Fu-Lung Yeh, Luh Tung, and Tien-Hsien Chang

16. Evolution of Cell-Type-Specific RNA Aptamers Via Live Cell-Based SELEX

Jiehua Zhou and John J. Rossi

17. mCarts: Genome-Wide Prediction of Clustered Sequence Motifs as Binding Sites for RNA Binding Proteins

Sebastien M. Weyn-Vanhentenryck and Chaolin Zhang

18. Design

Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems

Автор: Johannes F. Knabe
Название: Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems
ISBN: 3642448054 ISBN-13(EAN): 9783642448058
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book examines the evolvability and robustness of an evolutionary GRN paradigm, in simple differentiated multicellularity and in evolving artificial `organisms` which grow and express an ontogeny from a single cell to a changing neighborhood of cells.

The Molecular Chaperones Interaction Networks in Protein Folding and Degradation

Автор: Walid A. Houry
Название: The Molecular Chaperones Interaction Networks in Protein Folding and Degradation
ISBN: 1493948644 ISBN-13(EAN): 9781493948642
Издательство: Springer
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Цена: 20896.00 р.
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Описание: They are key components of a protein quality machinery in the cell which insures that the folding process of any newly-synthesized polypeptide chain results in the formation of a properly folded protein and that the folded protein is maintained in an active conformation throughout its functional lifetime.

Formation and Cooperative Behaviour of Protein Complexes on the Cell Membrane

Автор: Ksenia Guseva
Название: Formation and Cooperative Behaviour of Protein Complexes on the Cell Membrane
ISBN: 364226994X ISBN-13(EAN): 9783642269943
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Framed by a statistical physics perspective, this volume describes both the process of self-assembly and the impact of spatial organization on the function of membrane proteins. Using methods from equilibrium and non-equilibrium statistical mechanics, the text demonstrates the importance of the protein-protein interactions.

Protein-protein Interactions and Networks

Автор: Anna Panchenko; Teresa M. Przytycka
Название: Protein-protein Interactions and Networks
ISBN: 1849967318 ISBN-13(EAN): 9781849967310
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse.


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