PeptX: using genetic algorithms to optimize peptides for MHC binding.
about
Large scale characterization of the LC13 TCR and HLA-B8 structural landscape in reaction to 172 altered peptide ligands: a molecular dynamics simulation studyMolecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructuresSpecificities of human CD4+ T cell responses to an inactivated flavivirus vaccine and infection: correlation with structure and epitope predictionEpitope-specificity of recombinant antibodies reveals promiscuous peptide-binding properties.Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulations.Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo.
P2860
PeptX: using genetic algorithms to optimize peptides for MHC binding.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@ast
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@en
type
label
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@ast
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@en
prefLabel
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@ast
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@en
P2093
P2860
P356
P1433
P1476
PeptX: using genetic algorithms to optimize peptides for MHC binding.
@en
P2093
Bernhard Knapp
Reiner Ribarics
Verena Giczi
Wolfgang Schreiner
P2860
P2888
P356
10.1186/1471-2105-12-241
P577
2011-06-17T00:00:00Z
P5875
P6179
1009034992