Daniel Bojar
Universitetslektor, biträdande
Institutionen för kemi och-
LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding
Prediction
Jon Lundstrøm, Emma Korhonen, F. Lisacek, Daniel Bojar
Advanced Science - 2022-01-01 -
Deep learning explains the biology of branched glycans from single-cell sequencing
data
Rui Qin, Lara K. Mahal, Daniel Bojar
iScience - 2022-01-01 -
Glycoinformatics in the Artificial Intelligence
Era
Daniel Bojar, F. Lisacek
Chemical Reviews - 2022-01-01 -
Structural insights into host–microbe
glycointeractions
Jon Lundstrøm, Daniel Bojar
Current Opinion in Structural Biology - 2022-01-01 -
A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin
Specificities
Daniel Bojar, L. Meche, G. Meng, W. Eng, D. F. Smith, R. D. Cummings, L. K. Mahal
ACS Chemical Biology - 2022-01-01 -
Glycowork: A Python package for glycan data science and machine
learning
Luc Thomès, R. Burkholz, Daniel Bojar
Glycobiology - 2021-01-01 -
The Role of Fucose-Containing Glycan Motifs Across Taxonomic
Kingdoms
Luc Thomés, Daniel Bojar
Frontiers in Molecular Biosciences - 2021-01-01 -
Construction of Caffeine-Inducible Gene Switches in Mammalian
Cells
Daniel Bojar
Mammalian Cell Engineering - 2021-01-01 -
Using graph convolutional neural networks to learn a representation for
glycans
R. Burkholz, J. Quackenbush, Daniel Bojar
Cell Reports - 2021-01-01