Hattotuwagama CK - Search Results

1

Quantitative online prediction of peptide binding to the major histocompatibility complex.

Hattotuwagama CK, Guan P, Doytchinova IA, Zygouri C, Flower DR. Hattotuwagama CK, et al. J Mol Graph Model. 2004 Jan;22(3):195-207. doi: 10.1016/S1093-3263(03)00160-8. J Mol Graph Model. 2004. PMID: 14629978

2

New horizons in mouse immunoinformatics: reliable in silico prediction of mouse class I histocompatibility major complex peptide binding affinity.

Hattotuwagama CK, Guan P, Doytchinova IA, Flower DR. Hattotuwagama CK, et al. Org Biomol Chem. 2004 Nov 21;2(22):3274-83. doi: 10.1039/B409656H. Epub 2004 Sep 16. Org Biomol Chem. 2004. PMID: 15534705

3

In silico prediction of peptide binding affinity to class I mouse major histocompatibility complexes: a comparative molecular similarity index analysis (CoMSIA) study.

Hattotuwagama CK, Doytchinova IA, Flower DR. Hattotuwagama CK, et al. J Chem Inf Model. 2005 Sep-Oct;45(5):1415-23. doi: 10.1021/ci049667l. J Chem Inf Model. 2005. PMID: 16180918

4

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: hattotuwagama ck. Appl Bioinformatics. 2006;5(1):55-61. doi: 10.2165/00822942-200605010-00008. Appl Bioinformatics. 2006. PMID: 16539539

5

Statistical deconvolution of enthalpic energetic contributions to MHC-peptide binding affinity.

Davies MN, Hattotuwagama CK, Moss DS, Drew MG, Flower DR. Davies MN, et al. Among authors: hattotuwagama ck. BMC Struct Biol. 2006 Mar 20;6:5. doi: 10.1186/1472-6807-6-5. BMC Struct Biol. 2006. PMID: 16549002 Free PMC article.

6

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.

Hattotuwagama CK, Toseland CP, Guan P, Taylor DJ, Hemsley SL, Doytchinova IA, Flower DR. Hattotuwagama CK, et al. J Chem Inf Model. 2006 May-Jun;46(3):1491-502. doi: 10.1021/ci050380d. J Chem Inf Model. 2006. PMID: 16711768

7

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. Methods Mol Biol. 2007;409:227-45. doi: 10.1007/978-1-60327-118-9_16. Methods Mol Biol. 2007. PMID: 18450004

8

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: hattotuwagama ck. PLoS One. 2009 Nov 30;4(11):e8095. doi: 10.1371/journal.pone.0008095. PLoS One. 2009. PMID: 19956609 Free PMC article.

9

Using databases and data mining in vaccinology.

Davies MN, Guan P, Blythe MJ, Salomon J, Toseland CP, Hattotuwagama C, Walshe V, Doytchinova IA, Flower DR. Davies MN, et al. Expert Opin Drug Discov. 2007 Jan;2(1):19-35. doi: 10.1517/17460441.2.1.19. Expert Opin Drug Discov. 2007. PMID: 23496035

10

AntiJen: a quantitative immunology database integrating functional, thermodynamic, kinetic, biophysical, and cellular data.

Toseland CP, Clayton DJ, McSparron H, Hemsley SL, Blythe MJ, Paine K, Doytchinova IA, Guan P, Hattotuwagama CK, Flower DR. Toseland CP, et al. Among authors: hattotuwagama ck. Immunome Res. 2005 Oct 6;1(1):4. doi: 10.1186/1745-7580-1-4. Immunome Res. 2005. PMID: 16305757 Free PMC article.

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