Journal article icon

Journal article

Pathogen-sugar interactions revealed by universal saturation transfer analysis

Abstract:

Many pathogens exploit host cell-surface glycans. However, precise analyses of glycan ligands binding with heavily-modified pathogen proteins can be confounded by overlapping sugar signals and/or compound with known experimental constraints. 'Universal saturation transfer analysis' (uSTA) builds on existing nuclear magnetic resonance spectroscopy to provide an automated workflow for quantitating protein-ligand interactions. uSTA reveals that early-pandemic, B-origin lineage SARS-CoV-2 spike t...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1126/science.abm3125

Authors


More by this author
Role:
Author
ORCID:
0000-0002-1840-5706
More by this author
Role:
Author
ORCID:
0000-0002-3071-7227
More by this author
Role:
Author
ORCID:
0000-0001-5167-0547
More by this author
Role:
Author
ORCID:
0000-0003-0770-3932
Expand authors...

Contributors

Publisher:
American Association for the Advancement of Science Publisher's website
Journal:
Science Journal website
Volume:
377
Issue:
6604
Article number:
eabm3125
Publication date:
2022-06-23
Acceptance date:
2022-06-16
DOI:
EISSN:
1095-9203
ISSN:
0036-8075
Pmid:
35737812
Language:
English
Keywords:
Pubs id:
1265397
Local pid:
pubs:1265397
Deposit date:
2022-07-26

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP