Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Channa K. Hattotuwagama"'
Autor:
Wm. J. Spillane, Lorraine M. Kelly, Brendan G. Feeney, Michael G. B. Drew, Channa K. Hattotuwagama
Publikováno v:
ARKIVOC, Vol 2003, Iss 7, Pp 297-309 (2003)
Externí odkaz:
https://doaj.org/article/3d65b4f39c94435499b4a387cb1477f7
Autor:
Valerie A Walshe, Channa K Hattotuwagama, Irini A Doytchinova, Mailee Wong, Isabel K Macdonald, Arend Mulder, Frans H J Claas, Pierre Pellegrino, Jo Turner, Ian Williams, Emma L Turnbull, Persephone Borrow, Darren R Flower
Publikováno v:
PLoS ONE, Vol 4, Iss 11, p e8095 (2009)
Predictive models of peptide-Major Histocompatibility Complex (MHC) binding affinity are important components of modern computational immunovaccinology. Here, we describe the development and deployment of a reliable peptide-binding prediction method
Externí odkaz:
https://doaj.org/article/6c512875ea134bdf8f3599e92748472d
Publikováno v:
Dataset Papers in Science. 2014:1-4
T-cell epitopes form the basis of many vaccines, diagnostics, and reagents. Current methods for the in silico identification of T-cell epitopes rely, in the main, on the accurate quantitative prediction of peptide-Major Histocompatibility Complex (pM
Autor:
Channa K. Hattotuwagama, Persephone Borrow, Valerie Walshe, Matthew Davies, Irini Doytchinova, Christopher P. Toseland, Darren R. Flower, Pingping Guan, Shelley L Hemsley, Debra J Taylor
Publikováno v:
In Silico Immunology ISBN: 9780387392387
Immunoinformatics is facilitating important change within immunology and is helping it to engage more completely with the dynamic post-genomic revolution sweeping through bioscience. Historically, predicting the specificity of peptide Major Histocomp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edd46a545ccf4df9d86231e48fc11560
https://doi.org/10.1007/978-0-387-39241-7_9
https://doi.org/10.1007/978-0-387-39241-7_9
Autor:
Persephone Borrow, Martin J Blythe, Channa K. Hattotuwagama, Irini Doytchinova, Helen M McSparron, Darren R. Flower, Pingping Guan, Peter V. Coveney, Valerie Walshe, Debra J Taylor, Matthew N. Davies, Shunzhou Wan, Christopher P. Toseland, Shelley L Hemsley, Paul D. Taylor
Perhaps the most exciting sub-discipline within Bioinformatics is the application of informatic methods to immunology. Immunoinformatics, which combines informatics with computational chemistry, is facilitating important change within immunology. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33363e312df6beef0b6f0788c1c00b98
https://doi.org/10.2174/157340905774330282
https://doi.org/10.2174/157340905774330282
Publikováno v:
Angewandte Chemie. 124:1140-1149
Zur Herstellung von niedermolekularen Verbindungen fur Wirkstoff-Forschungsprogramme bleibt die pharmazeutische Industrie ausschlieslich auf Methoden der Synthesechemie angewiesen. Die Bedeutung der physikochemischen Eigenschaften dieser Verbindungen
Publikováno v:
Angewandte Chemie International Edition. 51:1114-1122
The pharmaceutical industry remains solely reliant on synthetic chemistry methodology to prepare compounds for small-molecule drug discovery programmes. The importance of the physicochemical properties of these molecules in determining their success
Autor:
Matthew N. Davies, Martin J Blythe, Channa K. Hattotuwagama, Valerie Walshe, Darren R. Flower, Irini Doytchinova, Jesper Salomon, Pingping Guan, Christopher P. Toseland
Publikováno v:
Expert Opinion on Drug Discovery. 2:19-35
Throughout time functional immunology has accumulated vast amounts of quantitative and qualitative data relevant to the design and discovery of vaccines. Such data includes, but is not limited to, components of the host and pathogen genome (including
Publikováno v:
Journal of Molecular Structure: THEOCHEM. 775:67-76
Diacetylformoin (3,4-dihydroxy-3-hexene-2,5-dione) has 16 tautomers, many with several possible conformations and all have been geometry optimised using quantum mechanics at the HF/6-31+G* level. Eleven structures have been identified with energies w
Publikováno v:
Bioinformation
Peptides are of great therapeutic potential as vaccines and drugs. Knowledge of physicochemical descriptors, including the partition coefficient logP, is useful for the development of predictive Quantitative Structure-Activity Relationships (QSARs).