The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Structure-based drug design to augment hit discovery
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Citations
Cites
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
CASTp: Computed Atlas of Surface Topography of proteins
Binkowski, T. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg512 · Cited by 1,669
Virtual screening of chemical libraries
Shoichet, B. K. (2004) · Nature · doi:10.1038/nature03197 · Cited by 1,425
Krieger, E., Joo, K., Lee, J., Lee, J., Raman, S., Thompson, J., Tyka, M., Baker, D., & Karplus, K. (2009) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.22570 · Cited by 1,409
Protein structure homology modeling using SWISS-MODEL workspace
Bordoli, L., Kiefer, F., Arnold, K., Benkert, P., Battey, J., & Schwede, T. (2009) · Nature Protocols · doi:10.1038/nprot.2008.197 · Cited by 1,229
Hit and lead generation: beyond high-throughput screening
Bleicher, K. H., Böhm, H.-J., Müller, K., & Alanine, A. I. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1086 · Cited by 1,056
Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites
Laurie, A. T. R., & Jackson, R. M. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti315 · Cited by 1,047
Protein–ligand docking: Current status and future challenges
Sousa, S. F., Fernandes, P. A., & Ramos, M. J. (2006) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.21082 · Cited by 1,004
Computer-based de novo design of drug-like molecules
Schneider, G., & Fechner, U. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1799 · Cited by 948
The Process of Structure-Based Drug Design
Anderson, A. C. (2003) · Chemistry & Biology · doi:10.1016/j.chembiol.2003.09.002 · Cited by 939
Cited by
Role of computer-aided drug design in modern drug discovery
Macalino, S. J. Y., Gosu, V., Hong, S., & Choi, S. (2015) · Archives of Pharmacal Research · doi:10.1007/s12272-015-0640-5 · Cited by 762
In silico ADME/T modelling for rational drug design
Wang, Y., Xing, J., Xu, Y., Zhou, N., Peng, J., Xiong, Z., Liu, X., Luo, X., Luo, C., Chen, K., et al. (2015) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583515000190 · Cited by 367
Potential of quantum computing for drug discovery
Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development · doi:10.1147/jrd.2018.2888987 · Cited by 357
Opo, F. A. D. M., Rahman, M. M., Ahammad, F., Ahmed, I., Bhuiyan, M. A., & Asiri, A. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-83626-x · Cited by 298
Intrinsically disordered proteins and biomolecular condensates as drug targets
Biesaga, M., Frigolé-Vivas, M., & Salvatella, X. (2021) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2021.02.009 · Cited by 115
Metadata
- Authors
- Kalyaanamoorthy, S., & Chen, Y.-P. P.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 16
- Issue
- 17-18
- Pages
- 831-839
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2021552823
- Cited by
- 296
- References
- 49
- FWCI
- 12.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Kalyaanamoorthy, S., & Chen, Y.-P. P. (2011). Structure-based drug design to augment hit discovery. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2011.07.006
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.