Machine Learning (ML) and Molecular Dynamics–Driven Optimization of VEGFR2 Ligands against Hepatocellular Carcinoma

Farzana Yasmeen, Abdul Manan, Wook Kim, Sangdun Choi

Open source

DOI: 10.32604/or.2026.076072
Published: 2026
Container: Oncology Research
Publisher: Tech Science Press
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.32604/or.2026.076072,
  title = {Machine Learning (ML) and Molecular Dynamics–Driven Optimization of VEGFR2 Ligands against Hepatocellular Carcinoma},
  author = {Farzana Yasmeen and Abdul Manan and Wook Kim and Sangdun Choi},
  year = {2026},
  journal = {Oncology Research},
  doi = {10.32604/or.2026.076072},
  url = {https://doi.org/10.32604/or.2026.076072}
}

RIS

TY  - JOUR
TI  - Machine Learning (ML) and Molecular Dynamics–Driven Optimization of VEGFR2 Ligands against Hepatocellular Carcinoma
AU  - Farzana Yasmeen
AU  - Abdul Manan
AU  - Wook Kim
AU  - Sangdun Choi
PY  - 2026
JO  - Oncology Research
DO  - 10.32604/or.2026.076072
UR  - https://doi.org/10.32604/or.2026.076072
ER  -

APA

Yasmeen, F., Manan, A., Kim, W., & Choi, S. (2026). Machine Learning (ML) and Molecular Dynamics–Driven Optimization of VEGFR2 Ligands against Hepatocellular Carcinoma. Oncology Research. https://doi.org/10.32604/or.2026.076072

Source records

crossref · retrieved 2026-09-27T06:38:44.384Z