Supporting Data for Dynamic Scapping of RTK Domains: Computational Modeling of Natural Products as Dual Modulators of EGFR and VEGFR Signaling in Breast Cancer.
This dataset contains the natural product library, docking input files, redocked poses, and optimized ligand geometries supporting the findings in the manuscript submitted to Journal of Chemical Information and Modeling. A PDF describing the data will be added in a later version.
Institutions
- University of Johannesburg (ZA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-08
- DOI
- https://doi.org/10.5281/zenodo.15366406
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00