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Ligand 1 H NMR Chemical Shifts as Accurate Reporters for Protein‐Ligand Binding Interfaces in Solution**
Open accessPublished version of a preprint
Abstract
The availability of high‐resolution 3D structural information is crucial for investigating guest‐host systems across a wide range of fields. In the context of drug discovery, the information is routinely used to establish and validate structure‐activity relationships, grow initial hits from screening campaigns, and to guide molecular docking. For the generation of protein‐ligand complex structural information, X‐ray crystallography is the experimental method of choice, however, with limited information on protein flexibility. An experimentally verified structural model of the binding interface in the native solution‐state would support medicinal chemists in their molecular design decisions. Here we demonstrate that protein‐bound ligand 1 H NMR chemical shifts are highly sensitive and accurate probes for the immediate chemical environment of protein‐ligand interfaces. By comparing the experimental ligand 1 H chemical shift values with those computed from the X‐ray structure using quantum mechanics methodology, we identify significant disagreements for parts of the ligand between the two experimental techniques. We show that quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) ensembles can be used to refine initial X‐ray co‐crystal structures resulting in a better agreement with experimental 1 H ligand chemical shift values. Overall, our findings highlight the usefulness of ligand 1 H NMR chemical shift information in combination with a QM/MM MD workflow for generating protein‐ligand ensembles that accurately reproduce solution structural data.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Accurate prediction of protein structures and interactions using a 3-track network
Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., et al. (2021) · doi:10.1101/2021.06.14.448402 · Cited by 5,549
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Metadata
- Authors
- Platzer, G., Ptaszek, A. L., Böttcher, J., Fuchs, J. E., Geist, L., Braun, D., McConnell, D. B., Konrat, R., Sánchez‐Murcia, P. A., & Mayer, M.
- Affiliations
- University of Vienna (AT)
- Boehringer Ingelheim (Austria) (AT)
- Medical University of Graz (AT)
- Corresponding author
- Platzer, Gerald
- Sánchez‐Murcia, Pedro A.
- Mayer, Moriz
- ORCID
- Venue
- ChemPhysChem
- Publisher
- Wiley
- Published
- 2023-11-13
- Volume
- 25
- Issue
- 1
- Pages
- e202300636-e202300636
- ISSN
- 1439-4235 (ISSN-L)
- 1439-7641
- OpenAlex
- W4388626925
- Cited by
- 8
- References
- 2
- Citations by year
- 2025: 5 · 2024: 2 · 2023: 1
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ChemPhysChem (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung
- Karl-Franzens-Universität Graz
- Medizinische Universität Graz
- Bundesministerium für Digitalisierung und Wirtschaftsstandort
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- QM/MM molecular dynamics, protein flexibility, structure-activity relationship, molecular docking, protein-ligand complex
- MeSH terms
- Ligands, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Proteins, Molecular Docking Simulation
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