An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition
- DOI
- 10.1016/j.ailsci.2021.100008
- Published
- 2021-12
- Container
- Artificial Intelligence in the Life Sciences
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ailsci.2021.100008,
title = {An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition},
author = {Fernando D. Prieto-Martínez and Eli Fernández-de Gortari and José L. Medina-Franco and L. Michel Espinoza-Fonseca},
year = {2021},
journal = {Artificial Intelligence in the Life Sciences},
doi = {10.1016/j.ailsci.2021.100008},
url = {https://doi.org/10.1016/j.ailsci.2021.100008}
}RIS
TY - JOUR TI - An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition AU - Fernando D. Prieto-Martínez AU - Eli Fernández-de Gortari AU - José L. Medina-Franco AU - L. Michel Espinoza-Fonseca PY - 2021 JO - Artificial Intelligence in the Life Sciences DO - 10.1016/j.ailsci.2021.100008 UR - https://doi.org/10.1016/j.ailsci.2021.100008 ER -
APA
Prieto-Martínez, F. D., Gortari, E. F., Medina-Franco, J. L., & Espinoza-Fonseca, L. M. (2021). An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition. Artificial Intelligence in the Life Sciences. https://doi.org/10.1016/j.ailsci.2021.100008
Source records
- crossref · retrieved 2026-09-26T19:13:31.073Z