The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
How to do an evaluation: pitfalls and traps
Open accessAbstract
The recent literature is replete with papers evaluating computational tools (often those operating on 3D structures) for their performance in a certain set of tasks. Most commonly these papers compare a number of docking tools for their performance in cognate re-docking (pose prediction) and/or virtual screening. Related papers have been published on ligand-based tools: pose prediction by conformer generators and virtual screening using a variety of ligand-based approaches. The reliability of these comparisons is critically affected by a number of factors usually ignored by the authors, including bias in the datasets used in virtual screening, the metrics used to assess performance in virtual screening and pose prediction and errors in crystal structures used.
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Cites
Friesner, R. A., Banks, J. L., Murphy, R. B., Halgren, T. A., Klicic, J. J., Mainz, D. T., Repasky, M. P., Knoll, E. H., Shelley, M., Perry, J. K., et al. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm0306430 · Cited by 10,057
Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen
Jones, G., Willett, P., Glen, R. C., Leach, A. R., & Taylor, R. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0897 · Cited by 6,763
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
Bissantz, C., Folkers, G., & Rognan, D. (2000) · Journal of Medicinal Chemistry · doi:10.1021/jm001044l · Cited by 740
Cited by
Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking.
Mysinger, M. M., Carchia, M., Irwin, J. J., & Shoichet, B. K. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300687e · Cited by 2,412
Recognizing Pitfalls in Virtual Screening: A Critical Review
Scior, T., Bender, A., Tresadern, G., Medina-Franco, J. L., Martínez-Mayorga, K., Langer, T., Cuanalo-Contreras, K., & Agrafiotis, D. K. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci200528d · Cited by 438
Damm-Ganamet, K. L., Smith, R. D., Dunbar, J. B., Stuckey, J. A., & Carlson, H. A. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400025f · Cited by 133
Zheng, H., Shabalin, I. G., Handing, K. B., Bujnicki, J. M., & Minor, W. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv225 · Cited by 107
Lagarde, N., Zagury, J.-F., & Montes, M. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00090 · Cited by 85
Metadata
- Authors
- Hawkins, P. C. D., Warren, G. L., Skillman, A. G., & Nicholls, A.
- Venue
- Journal of Computer-Aided Molecular Design
- Published
- 2008-01-23
- Volume
- 22
- Issue
- 3-4
- Pages
- 179-190
- ISSN
- 0920-654X (ISSN-L)
- 1573-4951
- OpenAlex
- W2058433776
- Cited by
- 166
- References
- 4
- FWCI
- 25.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hawkins, P. C. D., Warren, G. L., Skillman, A. G., & Nicholls, A. (2008). How to do an evaluation: pitfalls and traps. Journal of Computer-Aided Molecular Design. https://doi.org/10.1007/s10822-007-9166-3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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