Computational studies on the interaction of ABO-active saccharides with the norovirus VA387 capsid protein can explain experimental binding data
Journal article, 2010

Norovirus strains are known to cause recurring epidemics of winter vomiting disease. The crystal structure of the capsid protein of VA387, a representative of the clinically important GII.4 genocluster, was recently solved in complex with histo-blood group A- and B-trisaccharides. However, the VA387 strain is known to bind also to other natural carbohydrates for which detailed structural information of the complexes is not available. In this study we have computationally explored the fit of the VA387 with a set of naturally occurring carbohydrate ligands containing a terminal alpha 1,2-linked fucose. MD simulations both with explicit and implicit solvent models indicate that type 1 and 3 extensions of the ABO-determinant including ALe(b) and BLe(b) pentasaccharides can be well accommodated in the site. Scoring with Glide XP indicates that the downstream extensions of the ABO-determinants give an increase in binding strength, although the alpha 1,2-linked fucose is the single strongest interacting residue. An error was discovered in the geometry of the GalNAc-Gal moiety of the published crystal structure of the A-trisaccharide/VA387 complex. The present modeling of the complexes with histo-blood group A-active structures shows some contacts which provide insight into mutational data, explaining the involvement of I389 and Q331. Our results can be applicable in structure-based design of adhesion inhibitors of noroviruses.


nonsense mutation





norwalk virus-infection

blood group antigens

Molecular dynamics


structural basis

Blood group determinants

gii-4 norovirus

secretor fut2



Ashok Krishna Chaitanya Koppisetty

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Waqas Nasir

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

F. Strino

University of Gothenburg

Biognos AB

Gustaf E Rydell

University of Gothenburg

Göran Larson

University of Gothenburg

Per-Georg Nyholm

University of Gothenburg

Journal of Computer-Aided Molecular Design

0920-654X (ISSN) 1573-4951 (eISSN)

Vol. 24 5 423-431

Subject Categories

Industrial Biotechnology

Other Clinical Medicine

Structural Biology

Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)





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