The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Mapping Protein Conformational Landscapes from Crystallographic Drug Fragment Screens
Open accessPublished version of a preprint
Abstract
Proteins are dynamic macromolecules. Knowledge of a protein's thermally accessible conformations is critical to determining important transitions and designing therapeutics. Accessible conformations are highly constrained by a protein's structure such that concerted structural changes due to external perturbations likely track intrinsic conformational transitions. These transitions can be thought of as paths through a conformational landscape. Crystallographic drug fragment screens are high-throughput perturbation experiments, in which thousands of crystals of a drug target are soaked with small-molecule drug precursors (fragments) and examined for fragment binding, mapping potential drug binding sites on the target protein. Here, we describe an open-source Python package, COnformational LAndscape Visualization (COLAV), to infer conformational landscapes from such large-scale crystallographic perturbation studies. We apply COLAV to drug fragment screens of two medically important systems: protein tyrosine phosphatase 1B (PTP1B), which regulates insulin signaling, and the SARS CoV-2 Main Protease (MPro). With enough fragment-bound structures, we find that such drug screens enable detailed mapping of proteins' conformational landscapes.
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Research works printed but not linked: 4
- Greisman, J. B.; Dalton, K. M.; Brookner, D. B.; Klureza, M. A.; Sheehan, C. J.; Kim, I.S.; Henning, R. W.; Russi, S.; Hekstra, D. R. Resolving conformational changes that mediate a two-step catalytic mechanism in a model enzyme. Proc natl Acad Sci USA , 2023, 121 (9): e231392121, 10.1073/pnas.231319212. · DOI
- Pedregosa F., 2011, J. Mach. Learn. Res., 12, 2825
- Van der Maaten L., 2008, J. Mach. Learn. Res., 9, 2579
- 10.1210/mend.15.10.0711 · DOI
Metadata
- Authors
- Saeed, A. A., Klureza, M. A., & Hekstra, D. R.
- Affiliations
- Harvard University (US)
- Corresponding author
- Hekstra, Doeke R.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2024-11-12
- Volume
- 64
- Issue
- 23
- Pages
- 8937-8951
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- PMC
- PMC11633654
- OpenAlex
- W4404283512
- Cited by
- 9
- References
- 87
- Citations by year
- 2026: 5 · 2025: 4
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Chemical Information and Modeling (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed Central (submittedVersion, cc-by-nc)
- Funders
- NIH Office of the Director (DP2-GM141000)
- Harvard University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- protein conformational landscape, protein dynamics, PTP1B, main protease, fragment binding, conformational change
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- Saeed, A. A., Klureza, M. A., & Hekstra, D. R. (2024). Mapping Protein Conformational Landscapes from Crystallographic Drug Fragment Screens. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.4c01380
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