The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking
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Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W., & Klein, M. L. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 41,298
Trott, O., & Olson, A. J. (2010) · Journal of Computational Chemistry · doi:10.1002/jcc.21334 · Cited by 38,412
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
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
Friesner, R. A., Murphy, R. B., Repasky, M. P., Frye, L. L., Greenwood, J. R., Halgren, T. A., Sanschagrin, P. C., & Mainz, D. T. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm051256o · Cited by 6,851
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
QM/MM Methods for Biomolecular Systems
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Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine
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Knowledge-based scoring function to predict protein-ligand interactions
Gohlke, H., Hendlich, M., & Klebe, G. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.3371 · Cited by 1,157
Cited by
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
Salo-Ahen, O. M. H., Alanko, I., Bhadane, R., Bonvin, A. M. J. J., Honorato, R. V., Hossain, S., Juffer, A. H., Kabedev, A., Lahtela-Kakkonen, M., Larsen, A. S., et al. (2020) · Processes · doi:10.3390/pr9010071 · Cited by 659
Use of molecular docking computational tools in drug discovery
(2021) · Progress in Medicinal Chemistry · doi:10.1016/bs.pmch.2021.01.004 · Cited by 621
The Art and Science of Molecular Docking
Paggi, J. M., Pandit, A., & Dror, R. O. (2024) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-030222-120000 · Cited by 459
Gu, Y.-Y., Zhang, M., Cen, H., Wu, Y.-F., Lu, Z., Lu, F., Liu, X.-S., & Lan, H.-Y. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245209 · Cited by 75
A new paradigm for applying deep learning to protein–ligand interaction prediction
Wang, Z., Wang, S., Li, Y., Guo, J., Wei, Y., Mu, Y., Zheng, L., & Li, W. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae145 · Cited by 41
Metadata
- Authors
- Li, J., Fu, A., & Zhang, L.
- Venue
- Interdisciplinary Sciences: Computational Life Sciences
- Published
- 2019-03-15
- Volume
- 11
- Issue
- 2
- Pages
- 320-328
- ISSN
- 1867-1462 (ISSN-L)
- 1913-2751
- OpenAlex
- W2921473648
- Cited by
- 434
- References
- 114
- FWCI
- 28.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking. https://app.cochat.ai/papers/10.1007/s12539-019-00327-w
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- Li, J., Fu, A., & Zhang, L. (2019). An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-019-00327-w
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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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