Flower DR - Search Results

1

MHC class I bound to an immunodominant Theileria parva epitope demonstrates unconventional presentation to T cell receptors.

Macdonald IK, Harkiolaki M, Hunt L, Connelley T, Carroll AV, MacHugh ND, Graham SP, Jones EY, Morrison WI, Flower DR, Ellis SA. Macdonald IK, et al. Among authors: flower dr. PLoS Pathog. 2010 Oct 14;6(10):e1001149. doi: 10.1371/journal.ppat.1001149. PLoS Pathog. 2010. PMID: 20976198 Free PMC article.

2

Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.

Walshe VA, Hattotuwagama CK, Doytchinova IA, Wong M, Macdonald IK, Mulder A, Claas FH, Pellegrino P, Turner J, Williams I, Turnbull EL, Borrow P, Flower DR. Walshe VA, et al. Among authors: flower dr. PLoS One. 2009 Nov 30;4(11):e8095. doi: 10.1371/journal.pone.0008095. PLoS One. 2009. PMID: 19956609 Free PMC article.

3

T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Flower DR, Phadwal K, Macdonald IK, Coveney PV, Davies MN, Wan S. Flower DR, et al. Immunome Res. 2010 Nov 3;6 Suppl 2(Suppl 2):S4. doi: 10.1186/1745-7580-6-S2-S4. Immunome Res. 2010. PMID: 21067546 Free PMC article.

4

Static energy analysis of MHC class I and class II peptide-binding affinity.

Davies MN, Flower DR. Davies MN, et al. Among authors: flower dr. Methods Mol Biol. 2007;409:309-20. doi: 10.1007/978-1-60327-118-9_23. Methods Mol Biol. 2007. PMID: 18450011

5

Class I T-cell epitope prediction: improvements using a combination of proteasome cleavage, TAP affinity, and MHC binding.

Doytchinova IA, Flower DR. Doytchinova IA, et al. Among authors: flower dr. Mol Immunol. 2006 May;43(13):2037-44. doi: 10.1016/j.molimm.2005.12.013. Epub 2006 Mar 9. Mol Immunol. 2006. PMID: 16524630

6

MHCPred 2.0: an updated quantitative T-cell epitope prediction server.

Guan P, Hattotuwagama CK, Doytchinova IA, Flower DR. Guan P, et al. Among authors: flower dr. Appl Bioinformatics. 2006;5(1):55-61. doi: 10.2165/00822942-200605010-00008. Appl Bioinformatics. 2006. PMID: 16539539

7

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.

Doytchinova IA, Flower DR. Doytchinova IA, et al. Among authors: flower dr. J Med Chem. 2001 Oct 25;44(22):3572-81. doi: 10.1021/jm010021j. J Med Chem. 2001. PMID: 11606121

8

Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores.

Salomon J, Flower DR. Salomon J, et al. Among authors: flower dr. BMC Bioinformatics. 2006 Nov 14;7:501. doi: 10.1186/1471-2105-7-501. BMC Bioinformatics. 2006. PMID: 17105666 Free PMC article.

9

Identifiying human MHC supertypes using bioinformatic methods.

Doytchinova IA, Guan P, Flower DR. Doytchinova IA, et al. Among authors: flower dr. J Immunol. 2004 Apr 1;172(7):4314-23. doi: 10.4049/jimmunol.172.7.4314. J Immunol. 2004. PMID: 15034046

10

Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: in silico bioinformatic step-by-step guide using quantitative structure-activity relationships.

Hattotuwagama CK, Doytchinova IA, Flower DR. Hattotuwagama CK, et al. Among authors: flower dr. Methods Mol Biol. 2007;409:227-45. doi: 10.1007/978-1-60327-118-9_16. Methods Mol Biol. 2007. PMID: 18450004

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