|
|
|
|
| LEADER |
03443nam a22003975i 4500 |
| 001 |
000286264 |
| 005 |
20211122140731.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2007 xxu| s |||| 0|eng d |
| 020 |
|
|
|a 9781603271189
|
| 024 |
7 |
|
|a 10.1007/978-1-60327-118-9
|2 doi
|
| 040 |
|
|
|a Sistema de Bibliotecas del Tecnológico de Costa Rica
|
| 245 |
1 |
0 |
|a Immunoinformatics :
|b Predicting Immunogenicity In Silico /
|c edited by Darren R. Flower.
|
| 250 |
|
|
|a 1st ed. 2007.
|
| 260 |
# |
# |
|a Totowa, NJ :
|b Humana Press :
|b Imprint: Humana,
|c 2007.
|
| 300 |
|
|
|a XV, 438 p. 111 illus., 5 illus. in color. :
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Methods in Molecular Biology,
|v 409
|
| 505 |
0 |
|
|a Databases -- IMGT®, the International ImmunoGeneTics Information System® for Immunoinformatics -- The IMGT/HLA Database -- IPD -- SYFPEITHI -- Searching and Mapping of T-Cell Epitopes, MHC Binders, and TAP Binders -- Searching and Mapping of B-Cell Epitopes in Bcipep Database -- Searching Haptens, Carrier Proteins, and Anti-Hapten Antibodies -- Defining HLA Supertypes -- The Classification of HLA Supertypes by GRID/CPCA and Hierarchical Clustering Methods -- Structural Basis for HLA-A2 Supertypes -- Definition of MHC Supertypes Through Clustering of MHC Peptide-Binding Repertoires -- Grouping of Class I HLA Alleles Using Electrostatic Distribution Maps of the Peptide Binding Grooves -- Predicting Peptide-MHC Binding -- Prediction of Peptide-MHC Binding Using Profiles -- Application of Machine Learning Techniques in Predicting MHC Binders -- Artificial Intelligence Methods for Predicting T-Cell Epitopes -- Toward the Prediction of Class I and II Mouse Major Histocompatibility Complex-Peptide-Binding Affinity -- Predicting the MHC-Peptide Affinity Using Some Interactive-Type Molecular Descriptors and QSAR Models -- Implementing the Modular MHC Model for Predicting Peptide Binding -- Support Vector Machine-Based Prediction of MHC-Binding Peptides -- In Silico Prediction of Peptide-MHC Binding Affinity Using SVRMHC -- HLA-Peptide Binding Prediction Using Structural and Modeling Principles -- A Practical Guide to Structure-Based Prediction of MHC-Binding Peptides -- Static Energy Analysis of MHC Class I and Class II Peptide-Binding Affinity -- Molecular Dynamics Simulations -- An Iterative Approach to Class II Predictions -- Building a Meta-Predictor for MHC Class II-Binding Peptides -- Nonlinear Predictive Modeling of MHC Class II-Peptide Binding Using Bayesian Neural Networks -- Predicting other Properties of Immune Systems -- TAPPred Prediction of TAP-Binding Peptides in Antigens -- Prediction Methods for B-cell Epitopes -- HistoCheck -- Predicting Virulence Factors of Immunological Interest -- Immunoinformatics and the in Silico Prediction of Immunogenicity -- Immunoinformatics and the in Silico Prediction of Immunogenicity.
|
| 650 |
|
0 |
|a Bioinformatics.
|
| 650 |
|
0 |
|a Life sciences.
|
| 650 |
|
0 |
|a Computers.
|
| 650 |
|
0 |
|a Immunology.
|
| 650 |
|
0 |
|a Human genetics.
|
| 650 |
|
0 |
|a Cell biology.
|
| 650 |
1 |
4 |
|a Bioinformatics.
|
| 650 |
2 |
4 |
|a Life Sciences, general.
|
| 650 |
2 |
4 |
|a Theory of Computation.
|
| 650 |
2 |
4 |
|a Immunology.
|
| 650 |
2 |
4 |
|a Human Genetics.
|
| 650 |
2 |
4 |
|a Cell Biology.
|
| 700 |
1 |
|
|a Flower, Darren R.
|e editor.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|