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, optimized ligand geometries, and a PDF describing the data, supporting the findings in the manuscript submitted to the Journal of Chemical Information and Modeling.”
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.15366800
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00