Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence.
- DOI
- 10.1021/acs.jcim.4c00159
- Published
- 2024 Apr 22
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 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:10.1021/acs.jcim.4c00159,
title = {Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence.},
author = {Long TZ and Jiang DJ and Shi SH and Deng YC and Wang WX and Cao DS},
year = {2024},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.4c00159},
url = {https://doi.org/10.1021/acs.jcim.4c00159}
}RIS
TY - JOUR TI - Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence. AU - Long TZ AU - Jiang DJ AU - Shi SH AU - Deng YC AU - Wang WX AU - Cao DS PY - 2024 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.4c00159 UR - https://doi.org/10.1021/acs.jcim.4c00159 ER -
APA
TZ, L., DJ, J., SH, S., YC, D., WX, W., & DS, C. (2024). Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.4c00159
Source records
- pubmed · retrieved 2026-09-27T01:30:50.461Z
- europe-pmc · retrieved 2026-09-27T01:30:50.472Z