Browse by Aston Author

2017

Mumtaz, Shahzad; Nabney, Ian T. and Flower, Darren R. (2017). Scrutinizing human MHC polymorphism:supertype analysis using Poisson-Boltzmann electrostatics and clustering. Journal of Molecular Graphics and Modelling, 77 , pp. 130-136.

2016

Davies, Matthew N.; Pere, Helene; Bosschem, Iris; Haesebrouck, Freddy; Flahou, Bram; Tartour, Eric; Flower, Darren R.; Tough, David F. and Bayry, Jagadeesh (2016). In silico adjuvant design and validation. IN: Vaccine adjuvants. Fox, Christopher B. (ed.) Methods in Molecular Biology . New York (US): Springer.

2015

Reche, Pedro; Flower, Darren R.; Fridkis-Hareli, Masha and Hoshino, Yoshihiko (2015). Peptide-based immunotherapeutics and vaccines 2015. Journal of Immunology Research, 2015 ,

2014

Reche, Pedro A.; Fernandez-Caldas, Enrique; Flower, Darren R.; Fridkis-Hareli, Masha and Hoshino, Yoshihiko (2014). Peptide-based immunotherapeutics and vaccines. Journal of Immunology Research, 2014 ,

Patronov, Atanas; Salamanova, Edvokiya; Dimitrov, Ivan; Flower, Darren R. and Doytchinova, Irini (2014). Histidine hydrogen bonding in MHC at pH 5 and pH 7 modeled by molecular docking and molecular dynamics simulations. Current Computer-Aided Drug design, 10 (1), pp. 41-49.

Mumtaz, Shahzad; Flower, Darren R. and Nabney, Ian (2014). Multi-level visualisation using Gaussian process latent variable models. IN: IVAPP 2014. Laramee, Robert S.; Kerren, Andreas and Braz, José (eds) Lisbon (PT): SciTePress.

2013

Molero-Abraham, Magdalena; Lafuente, Esther M.; Flower, Darren R. and Reche, Pedro A. (2013). Selection of conserved epitopes from hepatitis C virus for pan-populational stimulation of T-cell responses. Clinical and Developmental Immunology, 2013 ,

Flower, Darren R. (2013). The immune system as drug target. Immunology and Immunogenetics Insights, 5 ,

Flower, Darren R.; Davies, Matthew N. and Doytchinova, Irini A. (2013). Identification of candidate vaccine antigens in silico. IN: Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines. Immunomics Reviews . Springer.

Flower, Darren R. and Perrie, Yvonne (2013). Immunomic discovery of adjuvants, delivery systems, and candidate subunit vaccines:A brief introduction. IN: Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines. Immunomics Reviews . Springer.

Ansari, Hifzur Rahman; Flower, Darren R. and Raghava, Gajendra P.S. (2013). On the development of vaccine antigen databases:Progress, opportunity, and challenge. IN: Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines. Immunomics Reviews . Springer.

Flower, Darren R. and Perrie, Yvonne (2013). Preface. IN: Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines. Immunomics Reviews . Springer.

2011

Flower, Darren R. (2011). Immunological protein-protein interactions:a critical reflection. IN: Protein-protein interactions. Kangueane, Pandjassarame (ed.) Biochemistry Research Trends . Nova science.

2010

Secker, A.; Davies, M.N.; Freitas, A A; Clark, E.B.; Timmis, J. and Flower, Darren R. (2010). Hierarchical classification of G-protein-coupled receptors with data-driven selection of attributes and classifiers. International Journal of Data Mining and Bioinformatics, 4 (2), pp. 191-210.

Dimitrov, Ivan; Garnev, Panayot; Flower, Darren R. and Doytchinova, Irini (2010). Peptide binding to the HLA-DRB1 supertype:a proteochemometrics analysis. European Journal of Medicinal Chemistry, 45 (1), pp. 236-243.

2009

Davies, Matthew N. and Flower, Darren R. (2009). In silico identification of novel G protein coupled receptors. IN: Membrane proteomics. Peirce, Matthew J. and Wait, Robin (eds) Methods in molecular biology . Humana Press.

2008

Davies, Matthew N.; Lamikanra, Abigail; Sansom, Clare E.; Flower, Darren R.; Moss, David S. and Travers, Paul J. (2008). Identification of the HLA-DM/HLA-DR interface. Molecular Immunology, 45 (4), pp. 1063-1070.

2007

Davies, Matthew N.; Secker, Andrew; Freitas, Alex A.; Mendao, Miguel; Timmis, Jon and Flower, Darren R. (2007). On the hierarchical classification of G protein-coupled receptors. Bioinformatics, 23 (23), pp. 3113-3118.

Liu, Wen; Wan, Ji; Meng, Xiangshan; Flower, Darren R. and Li, Tongbin (2007). In silico prediction of peptide-MHC binding affinity using SVRMHC. IN: Immunoinformatics. Flowers, Darren R. (ed.) Methods in molecular biology™ . Totowa, NJ (US): Humana Press.

Wan, Shunzhou; Coveney, Peter V. and Flower, Darren R. (2007). Molecular dynamics simulations:bring biomolecular structures alive on a computer. IN: Immunoinformatics. Flowers, Darren R. (ed.) Methods in molecular biology™ . Totowa, NJ (US): Humana Press.

Davies, Matthew N. and Flower, Darren R. (2007). Static energy analysis of MHC class I and class II peptide-binding affinity. IN: Immunoinformatics. Flowers, Darren R. (ed.) Methods in molecular biology™ . Totowa, NJ (US): Humana Press.

Guan, Pingping; Doytchinova, Irini A. and Flower, Darren R. (2007). The classification of HLA supertypes by GRID/CPCA and hierarchical clustering methods. IN: Immunoioformatics. Flower, Darren R. (ed.) Methods in molecular biology™ . Totowa, NJ (US): Humana Press.

Davies, Matthew N. and Flower, Darren R. (2007). Harnessing bioinformatics to discover new vaccines. Drug Discovery Today, 12 (9-10), pp. 389-395.

2006

Taylor, Paul D.; Toseland, Christopher P.; Attwood, Teresa K. and Flower, Darren R. (2006). TATPred:a Bayesian method for the identification of twin arginine translocation pathway signal sequences. Bioinformation, 1 (5), pp. 184-187.

Doytchinova, Irini A. and Flower, Darren R. (2006). Class I T-cell epitope prediction:improvements using a combination of proteasome cleavage, TAP affinity, and MHC binding. Molecular Immunology, 43 (13), pp. 2037-2044.

Liu, Wen; Meng, Xiangshan; Xu, Qiqi; Flower, Darren R. and Li, Tongbin (2006). Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models. BMC Bioinformatics, 7 (3), pp. 182-194.

Davies, Matthew N.; Hattotuwagama, Channa K.; Moss, David S.; Drew, Michael G.B. and Flower, Darren R. (2006). Statistical deconvolution of enthalpic energetic contributions to MHC-peptide binding affinity. BMC Structural Biology, 6 (5),

Doytchinova, Irini A.; Guan, Pingping and Flower, Darren R. (2006). EpiJen:a server for multistep T cell epitope prediction. BMC Bioinformatics, 7 (3), pp. 131-141.

Hattotuwagama, Channa K. and Flower, Darren R. (2006). Empirical prediction of peptide octanol-water partition coefficients. Bioinformation, 1 (7), pp. 257-259.

Taylor, Paul D.; Attwood, Teresa K. and Flower, Darren R. (2006). Multi-class subcellular location prediction for bacterial proteins. Bioinformation, 1 (7), pp. 260-264.

Thompson, Sarah J.; Hattotuwagama, Channa K.; Holliday, John D. and Flower, Darren R. (2006). On the hydrophobicity of peptides:comparing empirical predictions of peptide log P values. Bioinformation, 1 (7), pp. 237-241.

Taylor, Paul D.; Toseland, Christopher P.; Attwood, Teresa K. and Flower, Darren R. (2006). A predictor of membrane class:discriminating α-helical and β-barrel membrane proteins from non-membranous proteins. Bioinformation, 1 (6), pp. 208-213.

2004

Doytchinova, Irini; Hemsley, Shelley and Flower, Darren R. (2004). Transporter associated with antigen processing preselection of peptides binding to the MHC:a bioinformatic evaluation. Journal of Immunology, 173 (11), pp. 6813-6819.

Doytchinova, Irini A.; Guan, Pingping and Flower, Darren R. (2004). Quantitative structure-activity relationships and the prediction of MHC supermotifs. Methods, 34 (4), pp. 444-453.

Wan, Shunzhou; Coveney, Peter and Flower, Darren R. (2004). Large-scale molecular dynamics simulations of HLA-A*0201 complexed with a tumor-specific antigenic peptide:can the α3 and β2m domains be neglected? Journal of Computational Chemistry, 25 (15), pp. 1803-1813.

Jones, Nicola A.; Wei, Xiping; Flower, Darren R.; Wong, MaiLee; Michor, Franziska; Saag, Michael S.; Hahn, Beatrice H.; Nowak, Martin A.; Shaw, George M. and Borrow, Persephone (2004). Determinants of human immunodeficiency virus type 1 escape from the primary CD8+ cytotoxic T lymphocyte response. Journal of Experimental Medicine, 200 (10), pp. 1243-1256.

Hattotuwagama, Channa K.; Guan, Pingping; Doytchinova, Irini A. and Flower, Darren R. (2004). New horizons in mouse immunoinformatics:reliable in silico prediction of mouse class I histocompatibility major complex peptide binding affinity. Organic and Biomolecular Chemistry, 2 (22), pp. 3274-3283.

Doytchinova, Irini A.; Walshe, Valerie A.; Jones, Nicola A.; Gloster, Simone E.; Borrow, Persephone and Flower, Darren R. (2004). Coupling in silico and in vitro analysis of peptide-MHC binding:a bioinformatic approach enabling prediction of superbinding peptides and anchorless epitopes. Journal of Immunological Methods, 172 (12), pp. 7495-7502.

Doytchinova, Irini A.; Guan, Pingping and Flower, Darren R. (2004). Identifiying human MHC supertypes using bioinformatic methods. Journal of Immunology, 172 (7), pp. 4314-4323.

2003

Doytchinova, Irini A.; Taylor, Paul and Flower, Darren R. (2003). Proteomics in vaccinology and immunobiology:an informatics perspective of the immunone. Journal of Biomedicine and Biotechnology, 2003 (5), pp. 267-290.

McSparron, Helen; Blythe, Martin J.; Zygouri, Christianna; Doytchinova, Irini A. and Flower, Darren R. (2003). JenPep : a novel computational information resource for immunobiology and vaccinology. Journal of Chemical Information and Modeling, 43 (4), pp. 1276-1287.

Guan, Pingping; Doytchinova, Irini A.; Zygouri, Christianna and Flower, Darren R. (2003). MHCPred : a server for quantitative prediction of peptide-MHC binding. Nucleic Acids Research, 31 (13), pp. 3621-3624.

Guan, Pingping; Doytchinova, Irini A. and Flower, Darren R. (2003). A comparative molecular similarity indices (CoMSIA) study of peptide binding to the HLA-A3 superfamily. Bioorganic and Medicinal Chemistry Letters, 11 (10), pp. 2307-2311.