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From magic bullets to designed multiple ligands
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Molecular properties that influence the oral bioavailability of drug candidates
Veber, D. F., Johnson, S. R., Cheng, H.-Y., Smith, B. R., Ward, K. W., & Kopple, K. D. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm020017n · Cited by 8,420
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Network pharmacology: the next paradigm in drug discovery
Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622
Multi-target-Directed Ligands To Combat Neurodegenerative Diseases
Cavalli, A., Bolognesi, M. L., Minarini, A., Rosini, M., Tumiatti, V., Recanatini, M., & Melchiorre, C. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm7009364 · Cited by 1,152
Multi-target therapeutics: when the whole is greater than the sum of the parts
Zimmermann, G. R., Lehár, J., & Keith, C. T. (2007) · Drug Discovery Today · doi:10.1016/j.drudis.2006.11.008 · Cited by 1,105
Comprehensive assay of kinase catalytic activity reveals features of kinase inhibitor selectivity
Anastassiadis, T., Deacon, S. W., Devarajan, K., Ma, H., & Peterson, J. R. (2011) · Nature Biotechnology · doi:10.1038/nbt.2017 · Cited by 919
Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds
Proschak, E., Stark, H., & Merk, D. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00760 · Cited by 498
Can we rationally design promiscuous drugs?
HOPKINS, A., MASON, J., & OVERINGTON, J. (2006) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2006.01.013 · Cited by 469
A Perspective on Multi-target Drugs for Alzheimer’s Disease
Benek, O., Korabecny, J., & Soukup, O. (2020) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2020.04.008 · Cited by 260
Agis-Torres, A., Sollhuber, M., Fernandez, M., & Sanchez-Montero, J. M. (2014) · Current Neuropharmacology · doi:10.2174/1570159x113116660047 · Cited by 202
HIV‐1 NNRTIs: structural diversity, pharmacophore similarity, and impliations for drug design
Zhan, P., Chen, X., Li, D., Fang, Z., De Clercq, E., & Liu, X. (2013) · Medicinal Research Reviews · doi:10.1002/med.20241 · Cited by 192
Phytotherapy in diabetes: Review on potential mechanistic perspectives
El-Abhar, H. S., & Schaalan, M. F. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i2.176 · Cited by 145
Rochais, C., Lecoutey, C., Gaven, F., Giannoni, P., Hamidouche, K., Hedou, D., Dubost, E., Genest, D., Yahiaoui, S., Freret, T., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00115 · Cited by 129
Bender, A., Jenkins, J. L., Glick, M., Deng, Z., Nettles, J. H., & Davies, J. W. (2006) · Journal of Chemical Information and Modeling · doi:10.1021/ci600197y · Cited by 110
Prati, F., Cavalli, A., & Bolognesi, M. (2016) · Molecules · doi:10.3390/molecules21040466 · Cited by 110
Więckowska, A., Kołaczkowski, M., Bucki, A., Godyń, J., Marcinkowska, M., Więckowski, K., Zaręba, P., Siwek, A., Kazek, G., Głuch-Lutwin, M., et al. (2016) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2016.08.016 · Cited by 91
Serotonergic and non‐serotonergic targets in the pharmacotherapy of visceral hypersensitivity
Bueno, L., De Ponti, F., Fried, M., Kullak‐ublick, G. A., Kwiatek, M. A., Pohl, D., Quigley, E. M. M., Tack, J., & Talley, N. J. (2007) · Neurogastroenterology & Motility · doi:10.1111/j.1365-2982.2006.00876.x · Cited by 64
Perspectives for New and More Efficient Multifunctional Ligands for Alzheimer′s Disease Therapy
Zagórska, A., & Jaromin, A. (2020) · Molecules · doi:10.3390/molecules25153337 · Cited by 51
Dual Inhibitors of AChE and BACE-1 for Reducing Aβ in Alzheimer’s Disease: From In Silico to In Vivo
Stern, N., Gacs, A., Tátrai, E., Flachner, B., Hajdú, I., Dobi, K., Bágyi, I., Dormán, G., Lőrincz, Z., Cseh, S., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232113098 · Cited by 35
Development of new Alzheimer’s disease drug candidates using donepezil as a key model
Eissa, K. I., Kamel, M. M., Mohamed, L. W., & Kassab, A. E. (2023) · Archiv der Pharmazie · doi:10.1002/ardp.202200398 · Cited by 20
Metadata
- Authors
- Morphy, R., Kay, C., & Rankovic, Z.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2004-08
- Volume
- 9
- Issue
- 15
- Pages
- 641-651
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W1981433258
- Cited by
- 729
- References
- 2
- FWCI
- 22.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
