Polysialosides Outperform Sulfated Analogs for Binding with SARS‐CoV‐2
Both polysialosides and polysulfates are known to interact with the receptor binding domain (RBD) of the SARS-CoV-2 spike protein. However, a comprehensive site by site analysis of their binding affinities and potential synergistic antiviral effects have not been performed. Here, we report on the synthesis of polysialosides with nanomolar binding affinities to spike proteins of SARS-CoV-2 in solution using microscale thermophoresis. The dendritic polyglycerol based polysialosides dPG<sub>500</sub>SA<sub>0.55</sub> and dPG<sub>500</sub>SA<sub>0.25</sub>, with a dissociation constant K<sub>d</sub> of 4.78 nm and 10.85 nm, respectively, bind ≈500 times stronger than the high density polysulfated analog dPG<sub>500</sub>S<sub>0.55</sub>, to intact SARS-CoV-2 virus particles or isolated spike protein. In fact, the presence of sulfate groups in a heteromultivalent compound dPG<sub>500</sub>SA<sub>0.20</sub>S<sub>0.20</sub> weakens the binding to spike proteins. A polycarboxylated analog does not bind to SARS-CoV-2, ruling out that the interaction of polysialoside is simply driven by electrostatics. Using explicit-solvent all-atom molecular dynamics simulations and ensemble docking studies, atomistic details are obtained on the interaction of different functional groups with the SARS-CoV-2 RBD. The data support the conclusion that sialosides interact stronger than sulfates for their binding with RBD of SARS-CoV-2. Notably, the most affine binder dPG<sub>500</sub>SA<sub>0.55</sub> inhibits SARS-CoV-2 (WT, D614G) replication up to 98.6% at 0.5 µm concentrations.
Authors
- Jakob Trimpert (ORCID: https://orcid.org/0000-0003-1616-0810)
- Julian Heinze
- Anil Kumar Sahoo (ORCID: https://orcid.org/0000-0001-7769-4774)
- Vinod Khatri (ORCID: https://orcid.org/0000-0002-7777-1984)
- Christian Drosten (ORCID: https://orcid.org/0000-0001-7923-0519)
- Kai Ludwig (ORCID: https://orcid.org/0000-0001-6808-8107)
- Rainer Haag (ORCID: https://orcid.org/0000-0003-3840-162X)
- Roland R. Netz (ORCID: https://orcid.org/0000-0003-0147-0162)
- Daniela Niemeyer (ORCID: https://orcid.org/0000-0002-1897-6365)
- Tatyana L. Povolotsky (ORCID: https://orcid.org/0000-0001-5987-777X)
- Yannic Kerkhoff (ORCID: https://orcid.org/0000-0002-8126-2082)
- Sumati Bhatia (ORCID: https://orcid.org/0000-0002-5123-4937)
- Nico Boback
- Daniel Christian Lauster (ORCID: https://orcid.org/0000-0003-2009-633X)
- Hassan Abdelwahab
- Dilara Balci
- Tahlia M Palmer (ORCID: https://orcid.org/0009-0001-2783-0149)
Institutions
- Kansas State University (US)
- Zuse Institute Berlin (DE)
- Deenbandhu Chhotu Ram University of Science and Technology (IN)
- Swansea University (GB)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Small
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1002/smll.202500719
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Government
- Royal Society of Chemistry
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Novo Nordisk
- Freie Universität Berlin
- Novo Nordisk Fonden
- Berlin University Alliance