Supporting Data for Dynamic Scapping of RTK Domains: Computational Modeling of Natural Products as Dual Modulators of EGFR and VEGFR Signaling in Breast Cancer.
Year: 2025
Type: article
Abstract: 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.
Authors: Obakachi, Vincent, Govender, Krishna, GOVENDER, PENNY
Institution: University of Johannesburg
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949525737
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