Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sarah Hall-Swan"'
Publikováno v:
iScience, Vol 27, Iss 1, Pp 108613- (2024)
Summary: Peptide-HLA (pHLA) binding prediction is essential in screening peptide candidates for personalized peptide vaccines. Machine learning (ML) pHLA binding prediction tools are trained on vast amounts of data and are effective in screening pept
Externí odkaz:
https://doaj.org/article/d7c4687f637f48418dc998bdb9191956
Autor:
Sarah Hall-Swan, Jared Slone, Mauricio M. Rigo, Dinler A. Antunes, Gregory Lizée, Lydia E. Kavraki
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
IntroductionPeptide-HLA class I (pHLA) complexes on the surface of tumor cells can be targeted by cytotoxic T-cells to eliminate tumors, and this is one of the bases for T-cell-based immunotherapies. However, there exist cases where therapeutic T-cel
Externí odkaz:
https://doaj.org/article/48b749b5a9114241a6a4d7e12fdc4df3
Autor:
Mauricio Menegatti Rigo, Romanos Fasoulis, Anja Conev, Sarah Hall-Swan, Dinler Amaral Antunes, Lydia E. Kavraki
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
The pandemic caused by the SARS-CoV-2 virus, the agent responsible for the COVID-19 disease, has affected millions of people worldwide. There is constant search for new therapies to either prevent or mitigate the disease. Fortunately, we have observe
Externí odkaz:
https://doaj.org/article/74428a9b0f544d939886176212146d30
Autor:
Didier Devaurs, Dinler A Antunes, Sarah Hall-Swan, Nicole Mitchell, Mark Moll, Gregory Lizée, Lydia E Kavraki
Publikováno v:
BMC Molecular and Cell Biology, Vol 20, Iss 1, Pp 1-15 (2019)
Abstract Background Docking large ligands, and especially peptides, to protein receptors is still considered a challenge in computational structural biology. Besides the issue of accurately scoring the binding modes of a protein-ligand complex produc
Externí odkaz:
https://doaj.org/article/31d75520ccd24ca6b48f5ab28ef494ca
Autor:
Maurício Menegatti Rigo, Dinler A. Antunes, Lydia E. Kavraki, Sarah Hall-Swan, Didier Devaurs, Geancarlo Zanatta
Publikováno v:
bioRxiv
Computers in Biology and Medicine
Computers in Biology and Medicine
An unprecedented research effort has been undertaken in response to the ongoing COVID-19 pandemic. This has included the determination of hundreds of crystallographic structures of SARS-CoV-2 proteins, and numerous virtual screening projects searchin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf7b6e065df1131e64e2c385cc9722e
https://europepmc.org/articles/PMC7836118/
https://europepmc.org/articles/PMC7836118/
Autor:
Gregory Lizée, Lydia E. Kavraki, Anja Conev, Didier Devaurs, Jayvee R. Abella, Dinler A. Antunes, Sarah Hall-Swan, Mark Moll
Publikováno v:
JCO Clinical Cancer Informatics
PURPOSE HLA protein receptors play a key role in cellular immunity. They bind intracellular peptides and display them for recognition by T-cell lymphocytes. Because T-cell activation is partially driven by structural features of these peptide-HLA com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e0a59837b989eda53653b3fff52d69a
http://europepmc.org/articles/PMC7397777
http://europepmc.org/articles/PMC7397777
Publikováno v:
BMC Systems Biology, Vol 12, Iss S3, Pp 11-23 (2018)
Background Decomposing a protein-protein interaction network (PPI network) into non-overlapping clusters or communities, sometimes called “network modules,” is an important way to explore functional roles of sets of genes. When the method to acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a684496bb5f1c45745d799add25c6e
https://doi.org/10.1186/s12918-018-0550-5
https://doi.org/10.1186/s12918-018-0550-5
Publikováno v:
BMC Systems Biology
BCB
BCB
Background Decomposing a protein-protein interaction network (PPI network) into non-overlapping clusters or communities, sometimes called “network modules,” is an important way to explore functional roles of sets of genes. When the method to acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::009d22d262fb24e02776775b005951b2
http://europepmc.org/articles/PMC5872520
http://europepmc.org/articles/PMC5872520
Publikováno v:
BMC Systems Biology, Vol 12, Iss 1, Pp 1-1 (2018)
BMC Systems Biology
BMC Systems Biology
Decomposing a protein-protein interaction network (PPI network) into non-overlapping clusters or communities, sometimes called "network modules," is an important way to explore functional roles of sets of genes. When the method to accomplish this dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bb9d3a4287127cd2f91fafb636ab5a8
http://link.springer.com/article/10.1186/s12918-018-0641-3
http://link.springer.com/article/10.1186/s12918-018-0641-3