Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.
- DOI
- 10.1186/s43556-026-00498-1
- Published
- 2026 Sep 3
- Container
- Molecular biomedicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s43556-026-00498-1,
title = {Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.},
author = {Li L and Soriano LD and Kedir WM and Hoch FL and Loke DK},
year = {2026},
journal = {Molecular biomedicine},
doi = {10.1186/s43556-026-00498-1},
url = {https://doi.org/10.1186/s43556-026-00498-1}
}RIS
TY - JOUR TI - Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation. AU - Li L AU - Soriano LD AU - Kedir WM AU - Hoch FL AU - Loke DK PY - 2026 JO - Molecular biomedicine DO - 10.1186/s43556-026-00498-1 UR - https://doi.org/10.1186/s43556-026-00498-1 ER -
APA
L, L., LD, S., WM, K., FL, H., & DK, L. (2026). Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.. Molecular biomedicine. https://doi.org/10.1186/s43556-026-00498-1
Source records
- pubmed · retrieved 2026-09-26T07:03:25.024Z