عنوان

Immunoinformatics :

شابک

1280945257

شابک

160327118X

شابک

661094525X

شابک

9781280945250

شابک

9781603271189

شابک

9786610945252

شابک اشتباه

1588296997

شابک اشتباه

9781588296993

شماره

b713330

عنوان اصلي

Immunoinformatics :

نام عام مواد

[Book]

ساير اطلاعات عنواني

predicting immunogenicity in silico /

نام نخستين پديدآور

edited by Darren R. Flower.

محل نشرو پخش و غیره

Totowa, N.J. :

نام ناشر، پخش کننده و غيره

Humana,

تاریخ نشرو بخش و غیره

©2007.

نام خاص و کميت اثر

1 online resource (xv, 438 pages) :

ساير جزييات

illustrations (some color)

عنوان فروست

Methods in molecular biology ;

مشخصه جلد

409

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer

شماره انبار

978-1-58829-699-3

عنوان

Immunoinformatics.

شماره استاندارد بين المللي کتاب و موسيقي

9781588296993

موضوع مستند نشده

Immunoinformatics.

موضوع مستند نشده

Immunological tolerance-- Computer simulation.

موضوع مستند نشده

Immunology-- Computer simulation.

موضوع مستند نشده

Allergy and Immunology.

موضوع مستند نشده

Analytical, Diagnostic and Therapeutic Techniques and Equipment

موضوع مستند نشده

Anatomy.

موضوع مستند نشده

Biological Science Disciplines.

موضوع مستند نشده

Biology.

موضوع مستند نشده

Computational Biology-- methods.

موضوع مستند نشده

Computational Biology.

موضوع مستند نشده

Databases as Topic.

موضوع مستند نشده

Databases, Factual.

موضوع مستند نشده

Disciplines and Occupations

موضوع مستند نشده

Genetics.

موضوع مستند نشده

Health Occupations.

موضوع مستند نشده

Hemic and Immune Systems

موضوع مستند نشده

Immune System.

موضوع مستند نشده

Immunogenetics.

موضوع مستند نشده

Informatics.

موضوع مستند نشده

Information Science.

موضوع مستند نشده

Information Storage and Retrieval.

موضوع مستند نشده

Investigative Techniques

موضوع مستند نشده

Medical Informatics.

موضوع مستند نشده

Medicine.

موضوع مستند نشده

Methods.

موضوع مستند نشده

Models, Biological.

موضوع مستند نشده

Models, Immunological.

موضوع مستند نشده

Models, Theoretical.

موضوع مستند نشده

Natural Science Disciplines.

موضوع مستند نشده

Allergy and Immunology.

موضوع مستند نشده

Computational Biology-- methods.

موضوع مستند نشده

Databases, Factual.

موضوع مستند نشده

Immunogenetics-- methods.

موضوع مستند نشده

Immunoinformatics.

موضوع مستند نشده

Immunoinformatics.

موضوع مستند نشده

Immunological tolerance-- Computer simulation.

موضوع مستند نشده

Immunology-- Computer simulation.

موضوع مستند نشده

Immunology-- Computer simulation.

موضوع مستند نشده

Medical Informatics-- methods.

موضوع مستند نشده

SCIENCE-- Life Sciences-- Anatomy & Physiology.

موضوع مستند نشده

PSD

موضوع مستند نشده

SCI-- 056000

موضوع مستند نشده

UB

شماره

ويراست

شماره رده

نشانه اثر

شماره رده

شماره رده

شماره رده

نشانه اثر

نشانه اثر

کد سيستم

مستند نام اشخاص تاييد نشده

Flower, Darren R.

تاريخ عمليات

20201208034400.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y