Irini A. Doytchinova

发表

Empirical, AI, and QSAR Approaches to Peptide-MHC Binding Prediction

Channa K. Hattotuwagama, Pingping Guan, Matthew N. Davies, 2007 .

MHCPred: a server for quantitative prediction of peptide-MHC binding

Pingping Guan, Irini A. Doytchinova, Darren R. Flower, 2003, Nucleic Acids Res..

In Silico QSAR-Based Predictions of Class I and Class II MHC Epitopes

Channa K. Hattotuwagama, Pingping Guan, Irini A. Doytchinova, 2008 .

In Silico Prediction of Peptide Binding Affinity to Class I Mouse Major Histocompatibility Complexes: A Comparative Molecular Similarity Index Analysis (CoMSIA) Study

Channa K. Hattotuwagama, Irini A. Doytchinova, Darren R. Flower, 2005, J. Chem. Inf. Model..

Towards the chemometric dissection of peptide – HLA-A*0201 binding affinity: comparison of local and global QSAR models

Irini A. Doytchinova, Darren R. Flower, Valerie Walshe, 2005, J. Comput. Aided Mol. Des..

AllerTOP - a server for in silico prediction of allergens

Irini A. Doytchinova, Darren R. Flower, Ivan Dimitrov, 2013, BMC Bioinformatics.

JenPep: a database of quantitative functional peptide data for immunology

Irini A. Doytchinova, Darren R. Flower, Martin J. Blythe, 2002, Bioinform..

EpiTOP - a proteochemometric tool for MHC class II binding prediction

Irini A. Doytchinova, Darren R. Flower, Ivan Dimitrov, 2010, Bioinform..

Towards the in silico identification of class II restricted T-cell epitopes: a partial least squares iterative self-consistent algorithm for affinity prediction

Irini A. Doytchinova, Darren R. Flower, D. Flower, 2003, Bioinform..

Toward Prediction of Class II Mouse Major Histocompatibility Complex Peptide Binding Affinity: in Silico Bioinformatic Evaluation Using Partial Least Squares, a Robust Multivariate Statistical Technique

Channa K. Hattotuwagama, Pingping Guan, Debra J. Taylor, 2006, J. Chem. Inf. Model..

A Comparative Molecular Similarity Index Analysis (CoMSIA) study identifies an HLA-A2 binding supermotif

Irini A. Doytchinova, Darren R. Flower, D. Flower, 2002, J. Comput. Aided Mol. Des..

BMC Bioinformatics BioMed Central Methodology article VaxiJen: a server for prediction of protective antigens, tumour

Irini A. Doytchinova, Darren R. Flower, D. Flower, 2007 .

Computational Chemistry, Informatics, and the Discovery of Vaccines

Channa K. Hattotuwagama, Pingping Guan, Matthew N. Davies, 2005 .

CoMFA-based comparison of two models of binding site on adenosine A1 receptor

Irini A. Doytchinova, 2001, J. Comput. Aided Mol. Des..

AllergenFP: allergenicity prediction by descriptor fingerprints

Irini A. Doytchinova, Ivan Bangov, Ivan Dimitrov, 2014, Bioinform..

Quantitative Prediction of Peptide Binding to HLA-DP1 Protein

Irini A. Doytchinova, Ivan Dimitrov, Stefan Ivanov, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

JenPep: A Novel Computational Information Resource for Immunobiology and Vaccinology

Irini A. Doytchinova, Darren R. Flower, Christianna Zygouri, 2003, J. Chem. Inf. Comput. Sci..

EpiJen: a server for multistep T cell epitope prediction

Pingping Guan, Irini A. Doytchinova, Darren R. Flower, 2006, BMC Bioinformatics.

Computational vaccine design

Irini A. Doytchinova, Darren R. Flower, Christianna Zygouri, 2002 .

Predicting Class I Major Histocompatibility Complex (MHC) Binders Using Multivariate Statistics: Comparison of Discriminant Analysis and Multiple Linear Regression

Irini A. Doytchinova, Darren R. Flower, D. Flower, 2007, J. Chem. Inf. Model..

Predicting Immunogenicity Risk in Biopharmaceuticals

Irini A. Doytchinova, Ivan Dimitrov, Nikolet Doneva, 2021, Symmetry.

Identification of Candidate Vaccine Antigens In Silico

Matthew N. Davies, Irini A. Doytchinova, Darren R. Flower, 2012, Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines.

A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities

Channa K. Hattotuwagama, Irini A. Doytchinova, Darren R. Flower, 2014 .

Integrating In Silico and In Vitro Analysis of Peptide Binding Affinity to HLA-Cw*0102: A Bioinformatic Approach to the Prediction of New Epitopes

Channa K. Hattotuwagama, Irini A. Doytchinova, Darren R. Flower, 2009, PloS one.

CoMFA Study on Adenosine A2A Receptor Agonists

Irini A. Doytchinova, Iva Valkova, Roumiana Natcheva, 2001 .

Quantitative structure--clearance relationships of acidic drugs.

Irini A. Doytchinova, I. Doytchinova, Zvetanka Zhivkova, 2013, Molecular pharmaceutics.

MHCPred 2.0

Channa K. Hattotuwagama, Pingping Guan, Irini A. Doytchinova, 2006 .

Proteochemometrics for the Prediction of Binding to the MHC Proteins

Irini A. Doytchinova, Ivan Dimitrov, Ventsislav Yordanov, 2016 .

Journal of Proteomics & Bioinformatics

Irini A. Doytchinova, Darren R. Flower, Ivan Dimitrov, 2022 .

Toward Prediction of Class II Mouse Major Histocompatibility Complex Peptide Binding Affinity: In Silico Bioinformatic Evaluation Using Partial Least Squares, a Robust Multivariate Statistical Technique.

Channa K. Hattotuwagama, Pingping Guan, Debra J. Taylor, 2006 .

In Silico Identification of Supertypes for Class II MHCs1

Irini A. Doytchinova, Darren R. Flower, D. Flower, 2005, The Journal of Immunology.