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 Molecular Diversity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15446567
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Scapping of RTK Domains: Computational Modeling of Natural Products as Dual Modulators of EGFR and VEGFR Signaling in Breast Cancer

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Dynamic Scapping of RTK Domains: Computational Modeling of Natural Products as Dual Modulators of EGFR and VEGFR Signaling in Breast Cancer

article en

Abstract

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 Molecular Diversity.

Zenodo (CERN European Organization for Nuclear Research)
University of Johannesburg (ZA)
Openalex Percentile: Top 56%
Computational Drug Discovery Methods
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Dynamic Scapping of RTK Domains: Computational Modeling of Natural Products as Dual Modulators of EGFR and VEGFR Signaling in Breast Cancer · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS