Flow network QSAR for the prediction of physicochemical properties by mapping an electrical resistance network onto a chemical reaction poset.
- DOI
- 10.2174/1573409911309020008
- Published
- 2013-06-01
- Container
- Curr Comput Aided Drug Des
- 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:10.2174/1573409911309020008,
title = {Flow network QSAR for the prediction of physicochemical properties by mapping an electrical resistance network onto a chemical reaction poset.},
author = {Ivanciuc O and Ivanciuc T and Klein DJ.},
year = {2013},
journal = {Curr Comput Aided Drug Des},
doi = {10.2174/1573409911309020008},
url = {https://doi.org/10.2174/1573409911309020008}
}RIS
TY - JOUR TI - Flow network QSAR for the prediction of physicochemical properties by mapping an electrical resistance network onto a chemical reaction poset. AU - Ivanciuc O AU - Ivanciuc T AU - Klein DJ. PY - 2013 JO - Curr Comput Aided Drug Des DO - 10.2174/1573409911309020008 UR - https://doi.org/10.2174/1573409911309020008 ER -
APA
O, I., T, I., & DJ., K. (2013). Flow network QSAR for the prediction of physicochemical properties by mapping an electrical resistance network onto a chemical reaction poset.. Curr Comput Aided Drug Des. https://doi.org/10.2174/1573409911309020008
Source records
- europe-pmc · retrieved 2026-09-25T07:44:32.712Z