Published in BMC Bioinformatics on April 17, 2013
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Modeling the peptide-T cell receptor interaction by the comparative molecular similarity indices analysis-soft independent modeling of class analogy technique. J Med Chem (2006) 0.83
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Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes. PLoS One (2009) 0.83
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Statistical deconvolution of enthalpic energetic contributions to MHC-peptide binding affinity. BMC Struct Biol (2006) 0.83
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Identification of the HLA-DM/HLA-DR interface. Mol Immunol (2007) 0.81
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Preparation and evaluation of isosorbide mononitrate hydrogels for topical fissure treatment. Curr Drug Deliv (2012) 0.80
Quantitative structure-activity relationships and the prediction of MHC supermotifs. Methods (2004) 0.80
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From 'perfect mix' to 'potion magique'-- regulatory T cells and anti-inflammatory cytokines as adjuvant targets. Nat Rev Microbiol (2008) 0.79
Quantitative structure--clearance relationships of acidic drugs. Mol Pharm (2013) 0.78
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AllergenFP: allergenicity prediction by descriptor fingerprints. Bioinformatics (2013) 0.78
Empirical prediction of peptide octanol-water partition coefficients. Bioinformation (2006) 0.78
Static energy analysis of MHC class I and class II peptide-binding affinity. Methods Mol Biol (2007) 0.77
AllerTOP v.2--a server for in silico prediction of allergens. J Mol Model (2014) 0.76
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HLA-DP2 binding prediction by molecular dynamics simulations. Protein Sci (2011) 0.76
Quantitative structure--plasma protein binding relationships of acidic drugs. J Pharm Sci (2012) 0.76