The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Virtual screening strategies in drug discovery
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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
Halgren, T. A., Murphy, R. B., Friesner, R. A., Beard, H. S., Frye, L. L., Pollard, W. T., & Banks, J. L. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm030644s · Cited by 5,177
Docking and scoring in virtual screening for drug discovery: methods and applications
Kitchen, D. B., Decornez, H., Furr, J. R., & Bajorath, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1549 · Cited by 4,150
Improved protein–ligand docking using GOLD
Verdonk, M. L., Cole, J. C., Hartshorn, M. J., Murray, C. W., & Taylor, R. D. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10465 · Cited by 3,067
A geometric approach to macromolecule-ligand interactions
Kuntz, I. D., Blaney, J. M., Oatley, S. J., Langridge, R., & Ferrin, T. E. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90153-x · Cited by 2,278
Novel Procedure for Modeling Ligand/Receptor Induced Fit Effects
Sherman, W., Day, T., Jacobson, M. P., Friesner, R. A., & Farid, R. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm050540c · Cited by 2,031
A Critical Assessment of Docking Programs and Scoring Functions
Warren, G. L., Andrews, C. W., Capelli, A.-M., Clarke, B., LaLonde, J., Lambert, M. H., Lindvall, M., Nevins, N., Semus, S. F., Senger, S., et al. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm050362n · Cited by 1,814
Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine
Jain, A. N. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm020406h · Cited by 1,348
Principles of docking: An overview of search algorithms and a guide to scoring functions
Halperin, I., Ma, B., Wolfson, H., & Nussinov, R. (2002) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10115 · Cited by 1,294
Cited by
Principles of early drug discovery
Hughes, J., Rees, S., Kalindjian, S., & Philpott, K. (2011) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2010.01127.x · Cited by 2,859
Molecular dynamics simulations and novel drug discovery
Liu, X., Shi, D., Zhou, S., Liu, H., Liu, H., & Yao, X. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1403419 · Cited by 518
Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest
Wang, C., & Zhang, Y. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.24667 · Cited by 334
Bauer, M. R., Ibrahim, T. M., Vogel, S. M., & Boeckler, F. M. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400115b · Cited by 200
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
Metadata
- Authors
- McInnes, C.
- Venue
- Current Opinion in Chemical Biology
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 11
- Issue
- 5
- Pages
- 494-502
- ISSN
- 1367-5931 (ISSN-L)
- OpenAlex
- W2039350725
- Cited by
- 469
- References
- 36
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- McInnes, C. (2007). Virtual screening strategies in drug discovery. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2007.08.033
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.
