Irini Doytchinova
Irini Doytchinova
Medical University of Sofia
Потвърден имейл адрес:
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
IA Doytchinova, DR Flower
BMC bioinformatics 8 (1), 1-7, 2007
Hydrazones of 1, 2-benzisothiazole hydrazides: synthesis, antimicrobial activity and QSAR investigations
P Vicini, F Zani, P Cozzini, I Doytchinova
European journal of medicinal chemistry 37 (7), 553-564, 2002
AllerTOP v. 2—a server for in silico prediction of allergens
I Dimitrov, I Bangov, DR Flower, I Doytchinova
Journal of molecular modeling 20 (6), 1-6, 2014
T-cell epitope vaccine design by immunoinformatics
A Patronov, I Doytchinova
Open biology 3 (1), 120139, 2013
MHCPred: a server for quantitative prediction of peptide–MHC binding
P Guan, IA Doytchinova, C Zygouri, DR Flower
Nucleic acids research 31 (13), 3621-3624, 2003
AllergenFP: allergenicity prediction by descriptor fingerprints
I Dimitrov, L Naneva, I Doytchinova, I Bangov
Bioinformatics 30 (6), 846-851, 2014
AntiJen: a quantitative immunology database integrating functional, thermodynamic, kinetic, biophysical, and cellular data
CP Toseland, DJ Clayton, H McSparron, SL Hemsley, MJ Blythe, K Paine, ...
Immunome research 1 (1), 1-12, 2005
JenPep: a database of quantitative functional peptide data for immunology
MJ Blythe, IA Doytchinova, DR Flower
Bioinformatics 18 (3), 434-439, 2002
Synthesis and antiproliferative activity of benzo [d] isothiazole hydrazones
P Vicini, M Incerti, IA Doytchinova, P La Colla, B Busonera, R Loddo
European journal of medicinal chemistry 41 (5), 624-632, 2006
In silico identification of supertypes for class II MHCs
IA Doytchinova, DR Flower
The Journal of Immunology 174 (11), 7085-7095, 2005
Toward the quantitative prediction of T-cell epitopes: coMFA and coMSIA studies of peptides with affinity for the class I MHC molecule HLA-A* 0201
IA Doytchinova, DR Flower
Journal of medicinal chemistry 44 (22), 3572-3581, 2001
EpiJen: a server for multistep T cell epitope prediction
IA Doytchinova, P Guan, DR Flower
BMC bioinformatics 7 (1), 1-11, 2006
Identifiying human MHC supertypes using bioinformatic methods
IA Doytchinova, P Guan, DR Flower
The Journal of Immunology 172 (7), 4314-4323, 2004
Additive method for the prediction of protein− peptide binding affinity. Application to the MHC class I molecule HLA-A* 0201
IA Doytchinova, MJ Blythe, DR Flower
Journal of proteome research 1 (3), 263-272, 2002
Synthesis of some new S-triazine based chalcones and their derivatives as potent antimicrobial agents
A Solankee, K Kapadia, A Ćirić, M Soković, I Doytchinova, A Geronikaki
European journal of medicinal chemistry 45 (2), 510-518, 2010
Identifying candidate subunit vaccines using an alignment-independent method based on principal amino acid properties
IA Doytchinova, DR Flower
Vaccine 25 (5), 856-866, 2007
Towards the in silico identification of class II restricted T-cell epitopes: a partial least squares iterative self-consistent algorithm for affinity prediction
IA Doytchinova, DR Flower
Bioinformatics 19 (17), 2263-2270, 2003
Computer aided selection of candidate vaccine antigens
DR Flower, IK Macdonald, K Ramakrishnan, MN Davies, IA Doytchinova
Immunome research 6 (2), 1-16, 2010
JenPep: a novel computational information resource for immunobiology and vaccinology
H McSparron, MJ Blythe, C Zygouri, IA Doytchinova, DR Flower
Journal of chemical information and computer sciences 43 (4), 1276-1287, 2003
MHCPred: bringing a quantitative dimension to the online prediction of MHC binding
P Guan, IA Doytchinova, C Zygouri, DR Flower
Applied bioinformatics 2, 63-66, 2003
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Статии 1–20