The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Virtual Screening Workflow Development Guided by the “Receiver Operating Characteristic” Curve Approach. Application to High-Throughput Docking on Metabotropic Glutamate Receptor Subtype 4
Open accessAbstract
The "receiver operating characteristic" (ROC) curve method is a well-recognized metric used as an objective way to evaluate the ability of a given test to discriminate between two populations. This facilitates decision-making in a plethora of fields in which a wrong judgment may have serious consequences including clinical diagnosis, public safety, travel security, and economic strategies. When virtual screening is used to speed-up the drug discovery process in pharmaceutical research, taking the right decision upon selecting or discarding a molecule prior to in vitro evaluation is of paramount importance. Characterizing both the ability of a virtual screening workflow to select active molecules and the ability to discard inactive ones, the ROC curve approach is well suited for this critical decision gate. As a case study, the first virtual screening workflow focused on metabotropic glutamate receptor subtype 4 (mGlu4R) agonists is reported here. Six compounds out of 38 selected and tested in vitro were shown to have agonist activity on this target of therapeutic interest.
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Cites
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399
Implications of protein flexibility for drug discovery
Teague, S. J. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1129 · Cited by 755
Why do we need so many chemical similarity search methods?
Sheridan, R. (2002) · Drug Discovery Today · doi:10.1016/s1359-6446(02)02411-x · Cited by 412
Cited by
Benchmarking sets for molecular docking.
Huang, N., Shoichet, B. K., & Irwin, J. J. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm0608356 · Cited by 1,318
Evaluating Virtual Screening Methods: Good and Bad Metrics for the “Early Recognition” Problem
Truchon, J.-F., & Bayly, C. I. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci600426e · Cited by 874
Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach
Kapetanovic, I. M. (2008) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2006.12.006 · Cited by 662
Validation of Molecular Docking Programs for Virtual Screening against Dihydropteroate Synthase
Hevener, K. E., Zhao, W., Ball, D. M., Babaoglu, K., Qi, J., White, S. W., & Lee, R. E. (2009) · Journal of Chemical Information and Modeling · doi:10.1021/ci800293n · Cited by 668
Key Topics in Molecular Docking for Drug Design
Torres, P. H. M., Sodero, A. C. R., Jofily, P., & Silva-Jr, F. P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184574 · Cited by 641
Metadata
- Authors
- Triballeau, N., Acher, F., Brabet, I., Pin, J.-P., & Bertrand, H.-O.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-03-08
- Volume
- 48
- Issue
- 7
- Pages
- 2534-2547
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2014276094
- Cited by
- 631
- References
- 3
- FWCI
- 20.08
- Type
- journal article
- Language
- en
- Open access
- green
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