The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Structure-based drug screening for G-protein-coupled receptors
Open accessAbstract
G protein-coupled receptors (GPCRs) represent a large family of signaling proteins that includes many therapeutic targets; however, progress in identifying new small molecule drugs has been disappointing. The past four years have seen remarkable progress in the structural biology of GPCRs, raising the possibility of applying structure-based approaches to GPCR drug discovery efforts. Of the various structure-based approaches that have been applied to soluble protein targets, such as proteases and kinases, in silico docking is among the most ready applicable to GPCRs. Early studies suggest that GPCR binding pockets are well suited to docking, and docking screens have identified potent and novel compounds for these targets. This review will focus on the current state of in silico docking for GPCRs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ZINC − A Free Database of Commercially Available Compounds for Virtual Screening
Irwin, J. J., & Shoichet, B. K. (2005) · Journal of Chemical Information and Modeling · doi:10.1021/ci049714+ · Cited by 4,058
Self-citationHow to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Crystal structure of the β2 adrenergic receptor–Gs protein complex
Rasmussen, S. G. F., DeVree, B. T., Zou, Y., Kruse, A. C., Chung, K. Y., Kobilka, T. S., Thian, F. S., Chae, P. S., Pardon, E., Calinski, D., et al. (2011) · Nature · doi:10.1038/nature10361 · Cited by 3,009
Self-citationFredriksson, R., Lagerström, M. C., Lundin, L.-G., & Schiöth, H. B. (2003) · Molecular Pharmacology · doi:10.1124/mol.63.6.1256 · Cited by 2,941
Impact of high-throughput screening in biomedical research
Macarron, R., Banks, M. N., Bojanic, D., Burns, D. J., Cirovic, D. A., Garyantes, T., Green, D. V. S., Hertzberg, R. P., Janzen, W. P., Paslay, J. W., et al. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3368 · Cited by 1,364
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
Self-citation
Cited by
Roth, B. L. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.040 · Cited by 1,742
Polypharmacology: Challenges and Opportunities in Drug Discovery: Miniperspective
Anighoro, A., Bajorath, J., & Rastelli, G. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5006463 · Cited by 1,131
Synthon-based ligand discovery in virtual libraries of over 11 billion compounds
Sadybekov, A. A., Sadybekov, A. V., Liu, Y., Iliopoulos-Tsoutsouvas, C., Huang, X.-P., Pickett, J., Houser, B., Patel, N., Tran, N. K., Tong, F., et al. (2022) · Nature · doi:10.1038/s41586-021-04220-9 · Cited by 417
Applying Structure-Based Drug Design Approaches to Allosteric Modulators of GPCRs
Congreve, M., Oswald, C., & Marshall, F. H. (2017) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2017.05.010 · Cited by 123
Dong, C., Zheng, Y., Long-Iyer, K., Wright, E. C., Li, Y., & Tian, L. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110520-031137 · Cited by 99
Metadata
- Authors
- Shoichet, B. K., & Kobilka, B. K.
- Venue
- Trends in Pharmacological Sciences
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 33
- Issue
- 5
- Pages
- 268-272
- ISSN
- 0165-6147 (ISSN-L)
- OpenAlex
- W2123563726
- Cited by
- 294
- References
- 6
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Structure-based drug screening for G-protein-coupled receptors. https://app.cochat.ai/papers/10.1016/j.tips.2012.03.007
- The paper
- Shoichet, B. K., & Kobilka, B. K. (2012). Structure-based drug screening for G-protein-coupled receptors. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2012.03.007
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.