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- Daniel Bojar
Daniel Bojar
Universitetslektor
Institutionen för kemi och molekylärbiologi-
Navigating the maze of mass spectra: a machine-learning guide to identifying diagnostic ions in O-glycan
analysis
James Urban, Roman Joeres, Luc Thomes, Kristina A Thomsson, Daniel Bojar
ANALYTICAL AND BIOANALYTICAL CHEMISTRY - 2024 -
Deep learning method for the prediction of glycan structures from mass spectrometry
data
James Urban, Daniel Bojar
Nature Methods - 2024 -
Protocol for constructing glycan biosynthetic networks using
glycowork
Jon Lundstrøm, Luc Thomes, Daniel Bojar
STAR PROTOCOLS - 2024 -
Predicting glycan structure from tandem mass spectrometry via deep
learning
James Urban, Chunsheng Jin, Kristina A Thomsson, Niclas G. Karlsson, Callum M. Ives, Elisa Fadda, Daniel Bojar
NATURE METHODS - 2024 -
Syntactic sugars: crafting a regular expression framework for glycan
structures
Alex Bennett, Daniel Bojar
BIOINFORMATICS ADVANCES - 2024 -
Elucidating the glycan-binding specificity and structure of Cucumis melo agglutinin, a new R-type
lectin
Jon Lundstrøm, Emilie Gillon, Valerie Chazalet, Nicole Kerekes, Antonio Di Maio, Ten Feizi, Yan Liu, Annabelle Varrot, Daniel Bojar
BEILSTEIN JOURNAL OF ORGANIC CHEMISTRY - 2024 -
The evolving world of milk oligosaccharides: Biochemical diversity understood by computational
advances
Jon Lundstrøm, Daniel Bojar
CARBOHYDRATE RESEARCH - 2024 -
GlycoDraw: a python implementation for generating high -quality glycan
figures
Jon Lundstrøm, James Urban, Luc Thomes, Daniel Bojar
GLYCOBIOLOGY - 2023 -
Breast Milk Oligosaccharides Contain Immunomodulatory Glucuronic Acid and
LacdiNAc
Chunsheng Jin, Jon Lundstrøm, Emma Korhonen, Ana S. Luis, Daniel Bojar
MOLECULAR & CELLULAR PROTEOMICS - 2023 -
Decoding glycomics with a suite of methods for differential expression
analysis
Jon Lundstrøm, James Urban, Daniel Bojar
Cell Reports Methods - 2023 -
Mammalian milk glycomes: Connecting the dots between evolutionary conservation and biosynthetic
pathways
Luc Thomes, Viktoria Karlsson, Jon Lundstrøm, Daniel Bojar
Cell Reports - 2023 -
GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to
SMILES
R. Joeres, Daniel Bojar, O. V. Kalinina
Journal of Cheminformatics - 2023 -
Deep learning explains the biology of branched glycans from single-cell sequencing
data
Rui Qin, Lara K. Mahal, Daniel Bojar
iScience - 2022 -
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 -
Glycoinformatics in the Artificial Intelligence
Era
Daniel Bojar, F. Lisacek
Chemical Reviews - 2022 -
LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding
Prediction
Jon Lundstrøm, Emma Korhonen, F. Lisacek, Daniel Bojar
Advanced Science - 2022 -
Structural insights into host–microbe
glycointeractions
Jon Lundstrøm, Daniel Bojar
Current Opinion in Structural Biology - 2022 -
Using graph convolutional neural networks to learn a representation for
glycans
R. Burkholz, J. Quackenbush, Daniel Bojar
Cell Reports - 2021 -
Glycowork: A Python package for glycan data science and machine
learning
Luc Thomès, R. Burkholz, Daniel Bojar
Glycobiology - 2021 -
The Role of Fucose-Containing Glycan Motifs Across Taxonomic
Kingdoms
Luc Thomés, Daniel Bojar
Frontiers in Molecular Biosciences - 2021 -
Construction of Caffeine-Inducible Gene Switches in Mammalian
Cells
Daniel Bojar
Mammalian Cell Engineering - 2021