The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
QXP: Powerful, rapid computer algorithms for structure-based drug design
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
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
Molecular Docking: A Powerful Approach for Structure-Based Drug Discovery
Meng, X.-Y., Zhang, H.-X., Mezei, M., & Cui, M. (2011) · Current Computer Aided-Drug Design · doi:10.2174/157340911795677602 · Cited by 3,771
The Process of Structure-Based Drug Design
Anderson, A. C. (2003) · Chemistry & Biology · doi:10.1016/j.chembiol.2003.09.002 · Cited by 939
Bissantz, C., Folkers, G., & Rognan, D. (2000) · Journal of Medicinal Chemistry · doi:10.1021/jm001044l · Cited by 740
Comparative evaluation of eight docking tools for docking and virtual screening accuracy
Kellenberger, E., Rodrigo, J., Muller, P., & Rognan, D. (2004) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20149 · Cited by 577
Metadata
- Authors
- Mcmartin, C., & Bohacek, R. S.
- Venue
- Journal of Computer-Aided Molecular Design
- Published
- 1997-07
- Volume
- 11
- Issue
- 4
- Pages
- 333-344
- ISSN
- 0920-654X (ISSN-L)
- 1573-4951
- OpenAlex
- W1531401772
- Cited by
- 510
- References
- 1
- FWCI
- 13.67
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: QXP: Powerful, rapid computer algorithms for structure-based drug design. https://app.cochat.ai/papers/10.1023/a:1007907728892
- The paper
- Mcmartin, C., & Bohacek, R. S. (1997). QXP: Powerful, rapid computer algorithms for structure-based drug design. Journal of Computer-Aided Molecular Design. https://doi.org/10.1023/a%3A1007907728892
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.