Computational Immunology

Computational Immunology PDF

Author: Josep Bassaganya-Riera

Publisher: Academic Press

Published: 2015-10-21

Total Pages: 212

ISBN-13: 0128037156

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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

Computational Immunology

Computational Immunology PDF

Author: Shyamasree Ghosh

Publisher: CRC Press

Published: 2020-01-31

Total Pages: 201

ISBN-13: 1351023497

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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.

Mathematical, Computational and Experimental T Cell Immunology

Mathematical, Computational and Experimental T Cell Immunology PDF

Author: Carmen Molina-París

Publisher: Springer Nature

Published: 2021-01-04

Total Pages: 300

ISBN-13: 3030572048

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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 PDF

Author: Shyamasree Ghosh

Publisher: CRC Press

Published: 2020-01-31

Total Pages: 181

ISBN-13: 1351023489

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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.

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology PDF

Author: Martina Husáková

Publisher: Tomáš Bruckner

Published: 2015-09-10

Total Pages: 174

ISBN-13: 8087924029

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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.

Immunological Bioinformatics

Immunological Bioinformatics PDF

Author: Ole Lund

Publisher: MIT Press

Published: 2024-02-06

Total Pages: 335

ISBN-13: 0262551128

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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.

Killer Cell Dynamics

Killer Cell Dynamics PDF

Author: Dominik Wodarz

Publisher: Springer Science & Business Media

Published: 2007-04-05

Total Pages: 226

ISBN-13: 0387687335

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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.

Gene Technology, Immunology and Computational Biology (English Edition)

Gene Technology, Immunology and Computational Biology (English Edition) PDF

Author: Dr. Lalit Gupta

Publisher: Thakur Publication Private Limited

Published: 2023-02-01

Total Pages: 408

ISBN-13: 935755033X

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Uncover the secrets of Gene Technology, Immunology, and Computational Biology with the English edition e-Book, "Gene Technology, Immunology and Computational Biology." This comprehensive resource, published by Thakur Publication, is tailored for B.Sc 4th Semester students in U.P. State Universities, following the common syllabus. Explore the cutting-edge fields of gene technology, immunology, and computational biology, and gain a deep understanding of their applications and significance. From genetic engineering to immune responses and computational analysis, this e-Book covers a wide range of topics. Equip yourself with the knowledge and skills to excel in these dynamic fields. Get your copy today and embark on a journey of biological discovery.

Simulation Algorithms for Computational Systems Biology

Simulation Algorithms for Computational Systems Biology PDF

Author: Luca Marchetti

Publisher: Springer

Published: 2017-09-27

Total Pages: 238

ISBN-13: 3319631136

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This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.