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Andreatta, Massimo
PRODUCCION CIENTÍFICO TECNOLÓGICA
Mostrando ítems 1-7 de 7
Artículo
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
Andreatta, Massimo
;
Karosiene, Edita
;
Rasmussen, Michael
;
Stryhn, Anette
;
Buus, Søren
;
Nielsen, Morten
(
Springer
,
2015-09
)
Artículo
An automated benchmarking platform for MHC class II binding prediction methods
Andreatta, Massimo
;
Trolle, Thomas
;
Yan, Zhen
;
Greenbaum, Jason A
;
Peters, Bjoern
;
Nielsen, Morten
(
Oxford University Press
,
2018-05
)
Artículo
GibbsCluster: unsupervised clustering and alignment of peptide sequences
Andreatta, Massimo
;
Alvarez, Bruno
;
Nielsen, Morten
(
Oxford University Press
,
2017-04
)
Artículo
Machine learning reveals a non‐canonical mode of peptide binding to MHC class II molecules
Andreatta, Massimo
;
Jurtz, Vanessa I.
;
Kaever, Thomas
;
Sette, Alessandro
;
Peters, Bjoern
;
Nielsen, Morten
(
Wiley Blackwell Publishing, Inc
,
2017-10
)
Artículo
Netmhcpan-4.0: Improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data
Jurtz, Vanessa
;
Paul, Sinu
;
Andreatta, Massimo
;
Marcatili, Paolo
;
Peters, Bjoern
;
Nielsen, Morten
(
American Association of Immunologists
,
2017-11
)
Artículo
NNAlign: a platform to construct and evaluate artificial neural network models of receptor–ligand interactions
Nielsen, Morten
;
Andreatta, Massimo
(
Oxford University Press
,
2017-04
)
Artículo
Unconventional peptide presentation by major histocompatibility complex (MHC) class i allele HLA-A∗02:01: Breaking confinement
Remesh, Soumya G.
;
Andreatta, Massimo
;
Ying, Ge
;
Kaever, Thomas
;
Nielsen, Morten
;
McMurtrey, Curtis
;
Hildebrand, William
;
Peters, Bjoern
;
Zajonc, Dirk M.
(
American Society for Biochemistry and Molecular Biology
,
2017-03
)
Mostrando ítems 1-7 de 7