Immunoinformatics
(Sprache: Englisch)
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...
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Klappentext zu „Immunoinformatics “
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.
Inhaltsverzeichnis zu „Immunoinformatics “
Immunogenicity:Predicting Immunogenicity in silico[NOTE: As these papers describe computational methods, NONE are in thestrict MiMB format, though most approximate it. This I have discussedwith John Walker, and he indicates that this is acceptable. I indicatebelow those papers which do not even have a MiMB-like format.]0. Preface[THIS IS NOT IN MiMB FORMAT]1. Immunoinformatics and the in silico prediction of Immunogenicity:An introduction.Darren R Flower[THIS IS NOT IN MiMB FORMAT]Section 1: Databases2. IMGT®, the international ImMunoGeneTics information system® forimmunoinformatics. Methods for querying IMGT® databases, tools and Webresources in the context of immunoinformaticsMarie-Paule Lefranc[Prof LeFranc has agreed to pay for colour figures, but needs to bebilled.]3. The IMGT/HLA DatabaseJames Robinson and Steven G. E. Marsh4. IPD - the Immuno Polymorphism DatabaseJames Robinson and Steven G. E. Marsh5. SYFPEITHI: Database for Searching and T-Cell Epitope PredictionMathias M. Schuler, Maria-Dorothea Nastke and Stefan Stevanovi_6. Searching and Mapping of T cell epitopes, MHC binders, and TAPbindersManoj Bhasin, Sneh Lata and Gajendra P S Raghava7. Searching and Mapping of B-cell epitopes in Bcipep databaseSudipto Saha and Gajendra P.S. Raghava8. Searching haptens, carrier proteins and anti-hapten antibodiesShilpy Srivastava, Mahender Kumar Singh, Gajendra P S Raghavaand G. C. VarshneySection 2: Defining HLA Supertypes9. The classification of HLA supertypes by GRID/CPCAand hierarchical clustering methodsPingping Guan, Irini A. Doytchinova and Darren R. Flower10. Structural Basis For Hla-A2 SupertypesPandjassarame Kangueane and Meena Kishore Sakharkar11. Definition of MHC Supertypes Through Clustering ofMHC Peptide-bindingRepertoiresPedro A. Reche and Ellis L. Reinherz12. Grouping Of Class I Hla Alleles Using Electrostatic DistributionMapsOf The Peptide Binding Grooves.Pandjassarame Kangueane and Meena Kishore SakharkarSection 3: Predicting peptide-MHC
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binding13. Predicton of Peptide-MHC Binding Using ProfilesPedro A. Reche and Ellis L. Reinherz14. Application of machine learning techniques in predicting MHC bindersSneh Lata, Manoj Bhasin and G P S Raghava15. Artificial Intelligence Methods for Predicting T-Cell EpitopesYingdong Zhao, Myong-Hee Sung, Richard Simon16. Towards the Prediction of Class I and II Mouse MajorHistocompatibilityComplex Peptide Binding Affinity: In Silico Bioinformatic Step by StepGuide Using Quantitative Structure-Activity RelationshipsChanna K. Hattotuwagama, Irini A. Doytchinova, & Darren R. Flower17. Predicting the MHC-peptide affinity using some interactive typemolecular descriptors and QSAR modelsThy-Hou Lin18. Implementing the Modular MHC Model for Predicting Peptide BindingDavid S. DeLuca and Rainer Blasczyk19. Support vector machine-based prediction of MHC binding peptidesPierre Dönnes 20. In silico prediction of peptide MHC binding affinity using SVRMHCWen Liu, Ji Wan, Xiangshan Meng, Darren R. Flower and Tongbin Li21. HLA-Peptide Binding Prediction Using Structural And ModelingPrinciplesPandjassarame Kangueane and Meena Kishore Sakharkar22. A Practical Guide to Structure-based Prediction of MHC BindingPeptidesShoba Ranganathan and Joo Chuan Tong23. Static Energy Analysis of MHC Class I and Class II-peptide bindingaffinityMatthew N. Davies and Darren R. Flower24. Molecular dynamics simulations:bring biomolecular structures alive on a computerShunzhou Wan, Peter V. Coveney, & Darren R. Flower25. An Iterative Approach to Class II
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Bibliographische Angaben
- 2007, 438 Seiten, 5 farbige Abbildungen, 106 Schwarz-Weiss-Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Darren R. Flower
- Verlag: Humana Press
- ISBN-10: 1588296997
- ISBN-13: 9781588296993
Sprache:
Englisch
Rezension zu „Immunoinformatics “
"Investigators considering problems of recombinant vaccine design, possible host responses, and how to select likely sites from a large pool of information (the protein of interest) will find valuable material here." -Doody's Book Review, Weighted Numerical Score:77 - 3 Stars"...a value to virtually any investigator in this general field." -Doody's Book Review, Weighted Numerical Score:77 - 3 Stars "...a valuable addition to libraries in universities and research institutes, R & D firms engaged in the development of vaccines and immunotherapeutics, and clinical research centres." -Immunology news
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