Computational Immunology

Computational Immunology
Author: Shyamasree Ghosh
Publsiher: CRC Press
Total Pages: 172
Release: 2020-01-31
ISBN 10: 1351023497
ISBN 13: 9781351023498
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Computational Immunology

Computational Immunology
Author: Josep Bassaganya-Riera
Publsiher: Academic Press
Total Pages: 210
Release: 2015-10-21
ISBN 10: 0128037156
ISBN 13: 9780128037157
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. Offers case studies with different levels of complexity Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting

Methods and Applications of Computational Immunology

Methods and Applications of Computational Immunology
Author: Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain
Publsiher: Frontiers Media SA
Total Pages: 329
Release: 2020-01-30
ISBN 10: 2889633888
ISBN 13: 9782889633883
Language: EN, FR, DE, ES & NL

Methods and Applications of Computational Immunology Book Review:

Computational Immunology

Computational Immunology
Author: Shyamasree Ghosh
Publsiher: CRC Press
Total Pages: 172
Release: 2020-02-17
ISBN 10: 1351023489
ISBN 13: 9781351023481
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI) Scientific Officer (F), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology
Author: Martina Husakova
Publsiher: Tomas Bruckner
Total Pages: 174
Release: 2015-09-10
ISBN 10: 9788087924013
ISBN 13: 8087924010
Language: EN, FR, DE, ES & NL

Conceptual Modelling in Computational Immunology Book Review:

The natural immune system is an amazing complex system aiming at the homeostasis maintenance of a living organism. The non-linear, dynamic and complex nature of this system renders the behaviour far from predictable. This fact complicates exploration of immune processes and their understanding with traditional in vivo or in vitro strategies. Techniques of computer science are a promising alternative for the investigation of the natural immune system. Computational immunology investigates an inner life of the natural immune system with the assistance of various approaches of computer science (artificial or computational intelligence), mathematics, physics or statistics. It offers in silico strategies helping with the understanding of phenomena that are difficult to explore through traditional techniques. The monograph introduces the historical context of this research area and the first computer science-based applications. It concentrates mainly on conceptual modelling of various biological processes with the usage of particular conceptual languages and approaches (concept maps, entity-relationship diagrams, ontologies, topic maps, SBML, CellML, SBGN, statecharts and UML) differing in the degree of formality and use. Conceptual models are crucial, because they highlight the most important "players" of immune processes and relations between them. Conceptualisation is inevitable especially if we study really complex system. The primary goal of the monograph is to investigate the usefulness of the Agent Modelling Language for conceptualisation of particular immune processes. The Agent Modelling Language (AML) extends the UML for conceptualisation of multi-agent systems. The natural immune system is perceived as the multi-agent system in the monograph. Selected types of AML-based diagrams represent properties and processes occurring in a secondary lymphoid organ - a lymph node where interactions between T-cells and dendritic cells are mainly taken into account.

Computational Immunology

Computational Immunology
Author: Shyamasree Ghosh
Publsiher: CRC Press
Total Pages: 312
Release: 2019-10-14
ISBN 10: 1351025538
ISBN 13: 9781351025539
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc. Computational Immunology: Basics highlights the basics of the immune system and function in health and disease. This book offers comprehensive coverage of the most essential topics, including Overview of Immunology and computational Immunology Immune organs and cells, antigen, antibody, B, cell, T cell Antigen Processing and presentation Diseases due to abnormalities of the immune system Cancer Biology Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology
Author: Martina Husáková
Publsiher: Tomáš Bruckner
Total Pages: 174
Release: 2015-09-10
ISBN 10: 8087924029
ISBN 13: 9788087924020
Language: EN, FR, DE, ES & NL

Conceptual Modelling in Computational Immunology Book Review:

Computational immunology offers in silico strategies for understanding of complex processes occurring in the natural immune system of a living organism that are difficult to explore by traditional in vivo or in vitro techniques. The monograph introduces conceptual languages and approaches for modelling biological processes. The Agent Modelling Language is investigated for conceptualisation of immune processes. AML-based diagrams represent properties and processes occurring in a lymph node.

Killer Cell Dynamics

Killer Cell Dynamics
Author: Dominik Wodarz
Publsiher: Springer Science & Business Media
Total Pages: 220
Release: 2007-04-05
ISBN 10: 0387687335
ISBN 13: 9780387687339
Language: EN, FR, DE, ES & NL

Killer Cell Dynamics Book Review:

This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.

Immunological Bioinformatics

Immunological Bioinformatics
Author: Ole Lund,Morten Nielsen,Søren Brunak,Claus Lundegaard,Can Kesmir
Publsiher: MIT Press
Total Pages: 296
Release: 2005
ISBN 10: 9780262122801
ISBN 13: 0262122804
Language: EN, FR, DE, ES & NL

Immunological Bioinformatics Book Review:

Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer. In a broader perspective, specialized bioinformatics methods in immunology make possible for the first time a systems-level understanding of the immune system. The traditional approaches to immunology are reductionist, avoiding complexity but providing detailed knowledge of a single event, cell, or molecular entity. Today, a variety of experimental bioinformatics techniques connected to the sequencing of the human genome provides a sound scientific basis for a comprehensive description of the complex immunological processes. This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful for immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes.

Computational Immunology for Anomaly Detection

Computational Immunology for Anomaly Detection
Author: Xiaoshu Hang,Deakin University. School of Engineering and Information Technology
Publsiher: Unknown
Total Pages: 248
Release: 2006
ISBN 10:
ISBN 13: OCLC:225184807
Language: EN, FR, DE, ES & NL

Computational Immunology for Anomaly Detection Book Review:

The thesis makes a significant contribution to the issue of anomaly detection by introducing a computational immunology approach. Immunity-based anomaly detection in high dimensional space is systematically investigated and the proposed hybrid method (combining data mining techniques and computational immunology) improves both accuracy and efficiency.

Systems Immunology

Systems Immunology
Author: Jayajit Das,Ciriyam Jayaprakash
Publsiher: CRC Press
Total Pages: 334
Release: 2018-09-03
ISBN 10: 1498717411
ISBN 13: 9781498717410
Language: EN, FR, DE, ES & NL

Systems Immunology Book Review:

"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

Mathematical Computational and Experimental T Cell Immunology

Mathematical  Computational and Experimental T Cell Immunology
Author: Carmen Molina-Paris,Grant Lythe
Publsiher: Springer
Total Pages: 298
Release: 2021-01-27
ISBN 10: 9783030572037
ISBN 13: 303057203X
Language: EN, FR, DE, ES & NL

Mathematical Computational and Experimental T Cell Immunology Book Review:

Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.

Computational Immunology

Computational Immunology
Author: Michael B. Stadler
Publsiher: Unknown
Total Pages: 226
Release: 2003
ISBN 10:
ISBN 13: OCLC:85297235
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

Computational Collective Intelligence

Computational Collective Intelligence
Author: Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński
Publsiher: Springer
Total Pages: 661
Release: 2015-09-09
ISBN 10: 3319243063
ISBN 13: 9783319243061
Language: EN, FR, DE, ES & NL

Computational Collective Intelligence Book Review:

This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.

Computational Topology for Biomedical Image and Data Analysis

Computational Topology for Biomedical Image and Data Analysis
Author: Rodrigo Rojas Moraleda,Nektarios A. Valous,Wei Xiong,Niels Halama
Publsiher: CRC Press
Total Pages: 116
Release: 2019-07-12
ISBN 10: 0429810989
ISBN 13: 9780429810985
Language: EN, FR, DE, ES & NL

Computational Topology for Biomedical Image and Data Analysis Book Review:

This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data

Computational Biology and Applied Bioinformatics

Computational Biology and Applied Bioinformatics
Author: Heitor Lopes,Leonardo Magalhães Cruz
Publsiher: IntechOpen
Total Pages: 458
Release: 2011-09-02
ISBN 10: 9789533076294
ISBN 13: 9533076291
Language: EN, FR, DE, ES & NL

Computational Biology and Applied Bioinformatics Book Review:

Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new discipline, bioinformatics, bringing together molecular biology, biotechnology and information technology. More recently, the development of high throughput techniques, such as microarray, mass spectrometry and DNA sequencing, has increased the need of computational support to collect, store, retrieve, analyze, and correlate huge data sets of complex information. On the other hand, the growth of the computational power for processing and storage has also increased the necessity for deeper knowledge in the field. The development of bioinformatics has allowed now the emergence of systems biology, the study of the interactions between the components of a biological system, and how these interactions give rise to the function and behavior of a living being. This book presents some theoretical issues, reviews, and a variety of bioinformatics applications. For better understanding, the chapters were grouped in two parts. In Part I, the chapters are more oriented towards literature review and theoretical issues. Part II consists of application-oriented chapters that report case studies in which a specific biological problem is treated with bioinformatics tools.

Computational Immunology for the Defense of Large Scale Systems

Computational Immunology for the Defense of Large Scale Systems
Author: Anonim
Publsiher: Unknown
Total Pages: 69
Release: 2002
ISBN 10:
ISBN 13: OCLC:74229288
Language: EN, FR, DE, ES & NL

Computational Immunology for the Defense of Large Scale Systems Book Review:

This report describes the application of the computational immunology approach to a distributed object systems. The hypothesis tested was that one could characterize normal behavior of the application itself in terms of inter-object messages, and use that characterization to successfully detect rogue client attacks on the application. The goals of the research were to test and demonstrate the feasibility of intrusion detection at the application level in distributed object systems. In particular, we worked with applications built on the Common Object Resource Broker Architecture (CORBA). The report shows that the computational immunology approach reliably detects attacks on the Domain Name Server that seriously disrupt Internet service. The report analyzes the components required for a definition of "self" that is applicable to computer programs. The report also conducts experiments that show that a straightforward definition of "self" can detect rogue client attacks on CORBA systems. The project resulted in building a prototype system to aid in the analysis of experimental data and helped generate descriptions of normal application behavior. The prototype intrusion detection system for CORBA can be used with a broad class of definitions of "self."

Computational Immunology

Computational Immunology
Author: Hassan Khaled,Badr Amr,Nabil Emad
Publsiher: LAP Lambert Academic Publishing
Total Pages: 120
Release: 2015-07-23
ISBN 10: 9783659710971
ISBN 13: 3659710970
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review:

Vaccination is a method of stimulating resistant in the human body to specific diseases using microorganisms (bacteria or viruses) that have been modified or killed. Currently, the available vaccines are composed of killed or life attenuated the whole pathogens before being injected to the human body. Despite the advantages of such vaccines, there are a lot of potential safety problems such as incomplete inactivation of the killed pathogens or the evolution of the attenuated virus. Instead of the entire microbe, subunit vaccines include only the antigens that best stimulate the immune system. This type of vaccine uses epitopes - the very specific parts of the antigen that antibodies or T cells recognize and bind. Identification of epitopes that invoke strong responses from B-cells is one of the key steps in designing effective vaccines against pathogens. In this book, we developed a novel computational method "CBCPRED" to predict the conformational B-cell epitope residues from the target antigen protein structure. In addition, we proposed - PatchTope - A different vision in the identification of the antigenic epitope sites in the antigen structure chain.

Immunoinformatics

Immunoinformatics
Author: Christian Schönbach,Shoba Ranganathan,Vladimir Brusic
Publsiher: Springer Science & Business Media
Total Pages: 200
Release: 2007-11-21
ISBN 10: 0387729682
ISBN 13: 9780387729688
Language: EN, FR, DE, ES & NL

Immunoinformatics Book Review:

In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines.

Computational Immunology

Computational Immunology
Author: Pierre Dönnes
Publsiher: Unknown
Total Pages: 140
Release: 2006
ISBN 10:
ISBN 13: OCLC:180865533
Language: EN, FR, DE, ES & NL

Computational Immunology Book Review: