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Title Immunoinformatics : predicting immunogenicity in silico / edited by Darren R. Flower
Published Totowa, N.J. : Humana, ©2007


Description 1 online resource (xv, 438 pages) : illustrations (some color)
Series Methods in molecular biology ; 409
Methods in molecular biology (Clifton, N.J.) ; v. 409
Contents Immunoinformatics and the in silico prediction of immunogenicity. An introduction / D.R. Flower -- IMGT, the international immunogenetics information system for immunoinformatics. Methods for querying IMGT databases, tools, and web resources in the context of immunoinformatics / M.P. Lefranc -- The IMGT/HLA database / J. Robinson and S.G. Marsh -- IPD: The immuno polymorphism database / J. Robinson and S.G. Marsh -- SYFPEITHI: Database for searching and T-cell epitope prediction / M.M. Schuler, M.D. Nastke and S. Stevanovikc -- Searching and mapping of T-cell epitopes, MHC binders, and tap binders / M. Bhasin, S. Lata and G.P. Raghava -- Searching and mapping of B-cell epitopes in bcipep database / S. Saha and G.P. Raghava -- Searching haptens, carrier proteins, and anti-hapten antibodies / S. Srivastava [and others] -- The classification of HLA supertypes by grid/cpca and hierarchical clustering methods / P. Guan, I.A. Doytchinova and D.R. Flower -- Structural basis for HLA-A2 supertypes / P. Kangueane and M.K. Sakharkar -- Definition of MHC supertypes through clustering of MHC peptide-binding repertoires / P.A. Reche and E.L. Reinherz -- Grouping of class I HLA alleles using electrostatic distribution maps of the peptide binding grooves / P. Kangueane and M.K. Sakharkar -- Prediction of peptide-MHC binding using profiles / P.A. Reche and E.L. Reinherz -- Application of machine learning techniques in predicting MHC binders / S. Lata, M. Bhasin and G.P. Raghava -- Artificial intelligence methods for predicting T-cell epitopes / Y. Zhao, M.H. Sung and R. Simon -- Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: In silico bioinformatic step-by-step guide using quantitative structure-activity relationships / C.K. Hattotuwagama, I.A. Doytchinova and D.R. Flower -- Predicting the MHC-peptide affinity using some interactive-type molecular descriptors and QSAR models / T.H. Lin -- Implementing the modular MHC model for predicting peptide binding / D.S. DeLuca and R. Blasczyk -- Support vector machine-based prediction of MHC-binding peptides / P. Donnes -- In silico prediction of peptide-MHC binding affinity using SVRMHC / W. Liu [and others] -- HLA-peptide binding prediction using structural and modeling principles / P. Kangueane and M.K. Sakharkar -- A practical guide to structure-based prediction of MHC-binding peptides / S. Ranganathan and J.C. Tong -- Static energy analysis of MHC class I and class II peptide-binding affinity / M.N. Davies and D.R. Flower -- Molecular dynamics simulations: Bring biomolecular structures alive on a computer / S. Wan, P.V. Coveney and D.R. Flower -- An iterative approach to class II predictions / R.R. Mallios -- Building a meta-predictor for MHC class II-binding peptides / L. Huang [and others] -- Nonlinear predictive modeling of MHC class II-peptide binding using bayesian neural networks / D.A. Winkler and F.R. Burden -- TAPPred prediction of TAP-binding peptides in antigens / M. Bhasin, S. Lata and G.P. Raghava -- Prediction methods for B-cell epitopes / S. Saha and G.P. Raghava -- Histocheck. Evaluating structural and functional MHC similarities / D.S. DeLuca and R. Blasczyk -- Predicting virulence factors of immunological interest / S. Saha and G.P. Raghava -- Immunoinformatics. Predicting immunogenicity in silico. Preface / D.R. Flower
Summary Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics. This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. The volume is conveniently divided into four sections. The first section, Databases, details various immunoinformatic databases, including IMGT/HLA, IPD, and SYEPEITHI. In the second section, Defining HLA Supertypes, authors discuss supertypes of GRID/CPCA and hierarchical clustering methods, Hla-Ad supertypes, MHC supertypes, and Class I Hla Alleles. The third section, Predicting Peptide-MCH Binding, includes discussions of MCH binders, T-Cell epitopes, Class I and II Mouse Major Histocompatibility, and HLA-peptide binding. Within the fourth section, Predicting Other Properties of Immune Systems, investigators outline TAP binding, B-cell epitopes, MHC similarities, and predicting virulence factors of immunological interest. Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the computer-based science professional into one easy-to-use, insightful volume
Analysis immunologie
Genome informatics
Bibliography Includes bibliographical references and index
Notes English
Print version record
Subject Immunoinformatics.
Immunology -- Computer simulation
Immunological tolerance -- Computer simulation
Immune system.
Mathematical models.
Medical informatics.
Medicine -- Data processing.
Computational biology.
Biological models.
Life sciences.
Medical personnel.
Physical sciences.
Computational Biology -- methods
Immune System
Models, Immunological
Models, Theoretical
Allergy and Immunology
Medical Informatics
Databases, Factual
Computational Biology
Databases as Topic
Investigative Techniques
Information Science
Hemic and Immune Systems
Models, Biological
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Biological Science Disciplines
Information Storage and Retrieval
Health Occupations
Natural Science Disciplines
Disciplines and Occupations
Immune System Phenomena
Medical Informatics Applications
Animal Structures
Health Personnel
Health Workforce
mathematical models.
biological sciences.
physical sciences.
SCIENCE -- Life Sciences -- Anatomy & Physiology.
Immunological tolerance -- Computer simulation.
Allergy and Immunology.
Computational Biology -- methods.
Medical Informatics -- methods.
Immunogenetics -- methods.
Databases, Factual.
Immunology -- Computer simulation.
Physical sciences
Medicine -- Data processing
Medical personnel
Medical informatics
Mathematical models
Life sciences
Immune system
Computational biology
Biological models
Immunology -- Computer simulation
Genre/Form Laboratory manuals.
Manuels de laboratoire.
Form Electronic book
Author Flower, Darren R.
ISBN 9781603271189