The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
QSAR Modeling of the Blood–Brain Barrier Permeability for Diverse Organic Compounds
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Citations
Cites
Handbook of Molecular Descriptors
Todeschini, R., & Consonni, V. (2000) · Methods and Principles in Medicinal Chemistry · doi:10.1002/9783527613106 · Cited by 4,107 · cited 1×
“The calculation procedures for these descriptors, with related literature references, are reported in ( 47 ).”
MethodGolbraikh, A., & Tropsha, A. (2002) · Journal of Molecular Graphics and Modelling · doi:10.1016/s1093-3263(01)00123-1 · Cited by 3,735
Self-citationRational selection of training and test sets for the development of validated QSAR models
Golbraikh, A., Shen, M., Xiao, Z., Xiao, Y.-D., Lee, K.-H., & Tropsha, A. (2003) · Journal of Computer-Aided Molecular Design · doi:10.1023/a:1025386326946 · Cited by 712
Self-citation
Cited by
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
Zhang, L., Tan, J., Han, D., & Zhu, H. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.08.010 · Cited by 760
Self-citationVatansever, S., Schlessinger, A., Wacker, D., Kaniskan, H. Ü., Jin, J., Zhou, M., & Zhang, B. (2021) · Medicinal Research Reviews · doi:10.1002/med.21764 · Cited by 429
A Bayesian Approach to in Silico Blood-Brain Barrier Penetration Modeling
Martins, I. F., Teixeira, A. L., Pinheiro, L., & Falcao, A. O. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci300124c · Cited by 331
Carpenter, T. S., Kirshner, D. A., Lau, E. Y., Wong, S. E., Nilmeier, J. P., & Lightstone, F. C. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2014.06.024 · Cited by 306
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
Clark, A. M., Dole, K., Coulon-Spektor, A., McNutt, A., Grass, G., Freundlich, J. S., Reynolds, R. C., & Ekins, S. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00143 · Cited by 114
Metadata
- Authors
- Zhang, L., Zhu, H., Oprea, T. I., Golbraikh, A., & Tropsha, A.
- Venue
- Pharmaceutical Research
- Published
- 2008-06-14
- Volume
- 25
- Issue
- 8
- Pages
- 1902-1914
- ISSN
- 0724-8741 (ISSN-L)
- 1573-904X
- OpenAlex
- W2076448934
- Cited by
- 201
- References
- 3
- FWCI
- 13.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: QSAR Modeling of the Blood–Brain Barrier Permeability for Diverse Organic Compounds. https://app.cochat.ai/papers/10.1007/s11095-008-9609-0
- The paper
- Zhang, L., Zhu, H., Oprea, T. I., Golbraikh, A., & Tropsha, A. (2008). QSAR Modeling of the Blood–Brain Barrier Permeability for Diverse Organic Compounds. Pharmaceutical Research. https://doi.org/10.1007/s11095-008-9609-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
