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Author: Darren D.R. Flower
Publisher: Springer Science & Business Media
ISBN: 0387392416
Category : Medical
Languages : en
Pages : 453
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Book Description
This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems. It details how these disciplines will enable new understanding to emerge from the analysis of complex datasets. Coverage shows how these three are set to transform immunological science and the future of health care.
Author: Darren D.R. Flower
Publisher: Springer Science & Business Media
ISBN: 0387392416
Category : Medical
Languages : en
Pages : 453
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Book Description
This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems. It details how these disciplines will enable new understanding to emerge from the analysis of complex datasets. Coverage shows how these three are set to transform immunological science and the future of health care.
Author: Darren R. Flower
Publisher: Springer Science & Business Media
ISBN: 160327118X
Category : Science
Languages : en
Pages : 436
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Book Description
This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume.
Author: Gregory R. Bock
Publisher: John Wiley & Sons
ISBN: 0470090758
Category : Medical
Languages : en
Pages : 272
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Book Description
The astounding diversity of the immune system and the complexity of its regulatory pathways makes immunology a combinatorial science. Computational analysis has therefore become an essential element of immunology research and this has led to the creation of the emerging field of immunoinformatics. This book is the first to feature thorough coverage of this new field. Immunoinformatics facilitates the understanding of immune function by modelling the interactions among immunological components. Biological research provides ever deeper insights into the complexity of living organisms while computer science provides an effective means to store and analyse large volumes of complex data. Combining the two fields increases the efficiency of biological research and offers the potential for major advances in the study of biological systems. This book encompasses key developments in immunoinformatics, including immunological databases, sequence analysis, structure modelling, mathematical modelling of the immune system, simulation of laboratory experiments, statistical support for immunological experimentation and immunogenomics. The difficulties in effective application of bioinformatic tools in immunology arise at both ends of the spectrum: most immunologists have only a limited comprehension of sophisticated data analysis and applicability and limitations, while the average computer scientist lacks knowledge of the depth and complexity of biological data. The purpose of this book, therefore, is to present contributions from a multidisciplinary team of biologists and computer scientists to explore the issues related to better understanding of immune function and, in particular, to help apply new computer science methods to immunological research. Related Novartis Foundation symposia: 247 In Silico Simulation of Biological Processes Chair: Denis Noble 252 Generation and effector functions of regulatory lymphocytes Chair: Jean-François Bach
Author: Namrata Tomar
Publisher: Humana
ISBN: 9781071603888
Category : Medical
Languages : en
Pages : 0
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Book Description
This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.
Author: Martina Husáková
Publisher: Tomáš Bruckner
ISBN: 8087924029
Category : Computers
Languages : en
Pages : 174
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Book Description
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.
Author: Carlos A. Coello-Coello
Publisher: Springer
ISBN: 3642337570
Category : Computers
Languages : en
Pages : 309
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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Author: Josep Bassaganya-Riera
Publisher: Academic Press
ISBN: 0128037156
Category : Medical
Languages : en
Pages : 212
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Book Description
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
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Werner Smidt
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The importance of Cytotoxic T-Cell (CTL) reponses during the course of intracellular infections has received a lot of attention during the past few decades. CTLs respond to epitopes presented by the Major Histocompatibility Complex (MHC) originating from intracellular proteins for which they have an appropriate T-Cell Receptor (TCR) for. This response is crucial for the control of pathogens such as Influenza, Hepatitis, HIV and others by destroying the cell in which the pathogen replicates. Due to the extreme polymorphism of MHC molecules, Computational Immunology techniques have been developed to detect potential MHC ligands and as a consequence, potential CTL epitopes. The polymorphism factor needs to be taken into account especially when concerning the design of vaccines with a CTL response component to maximize population coverage. Tools have been constructed that combine the predictions tools concerning major steps in this pathway, that is, proteasomal cleavage, Transporter associated with Antigen Presentation (TAP) affinity, Major Histocompatibility Complex (MHC) affinity and Immunogenicity. In this study, a novel method is developed to combine the different steps in the pathway, which includes the development of a novel TAP predictor. Furthermore, by using a BLOSUM-based score in conjunction with the epitope prediction results, a novel CTL epitopebased clustering method was developed. Two pathogens with major CTL epitope components, but vastly different mutation rates were chosen to infer whether the aforementioned methods can be used to detect potential CTL epitopes and group sequences together based on shared immunogenicity.
Author: FILIPPO. CELADA CASTIGLIONE (FRANCO.)
Publisher: CRC Press
ISBN: 9780367738389
Category :
Languages : en
Pages : 286
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Book Description
The book describes a computational model of the immune system reaction, C-ImmSim, built along the lines of the computer model known as the Celada-Seiden model (CS-model). The computational counterpart of the CS-model is called IMMSIM which stands for IMMune system SIMulator. IMMSIM was written in 1992 by the physicist Phil E. Seiden and the immunologist Franco Celada. This model was built around the idea of developing a computerized system to perform experiments similar in vivo experiments; a tool developed to help biologists testing theories and hypothesis about how the immune system works. C-ImmSim is best viewed as a collection of models in a single program. It incorporates the principal core facts of today's immunological knowledge, such as the diversity of specific elements, MHC restriction, clonal selection, thymic education of T cells, antigen processing and presentation (both the cytosolic and endocytic pathways are implemented), cell-cell cooperation, homeostasis of cells created by the bone marrow, hyper mutation of antibodies, maturation of the cellular and humoral response, and memory. Besides, an antigen can represent a bacterium, a virus, or an allergen or a tumor cell. C-ImmSim has been recently customized to simulate the HIV-1 infection. Moreover, it can simulate the immunotherapy for cancer. These features are all present in the code and people can choose to turn them on and off at compiling time. The book presents the basic model as well as the various customizations to implement the description of different diseases and the way they have been used in practice to produce new knowledge either from hypothesis or from lab-experiment data. In this respect, the book can be used as a practical guide to implement a computational model with which to study a specific disease and to try to address realistic clinical questions.
