The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Structural identification of a hotspot on CFTR for potentiation
Open accessAbstract
Keeping the gate open: Cystic fibrosis is a progressive disease that affects lung function and is often fatal. It is caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR). One class of mutants impairs ion conductance, and the drug ivacaftor acts by increasing the ion flux. Liu et al. describe high-resolution structures of CFTR bound to ivacaftor and to an investigational drug GLPG1837 that also potentiates ion flow. The two drugs bind at the same site in the transmembrane region. This site coincides with a hinge involved in channel gating, suggesting that the drugs may stabilize the open conformation of the channel. Science , this issue p. 1184
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UCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 45,828
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Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
Refinement of Macromolecular Structures by the Maximum-Likelihood Method
Murshudov, G. N., Vagin, A. A., & Dodson, E. J. (1997) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444996012255 · Cited by 14,742
MolProbity : all-atom structure validation for macromolecular crystallography
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S., & Richardson, D. C. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909042073 · Cited by 14,115
MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy
Zheng, S. Q., Palovcak, E., Armache, J.-P., Verba, K. A., Cheng, Y., & Agard, D. A. (2017) · Nature Methods · doi:10.1038/nmeth.4193 · Cited by 7,777
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
Scheres, S. H. W. (2012) · Journal of Structural Biology · doi:10.1016/j.jsb.2012.09.006 · Cited by 5,446
CTFFIND4: Fast and accurate defocus estimation from electron micrographs
Rohou, A., & Grigorieff, N. (2015) · Journal of Structural Biology · doi:10.1016/j.jsb.2015.08.008 · Cited by 4,913
Webb, A. K. (2006) · Cited by 4,369
MolProbity: all-atom contacts and structure validation for proteins and nucleic acids
Davis, I. W., Leaver-Fay, A., Chen, V. B., Block, J. N., Kapral, G. J., Wang, X., Murray, L. W., Arendall, W. B., Snoeyink, J., Richardson, J. S., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm216 · Cited by 3,896
Update on Key Emerging Challenges in Cystic Fibrosis
Jennings, M. T., Riekert, K. A., & Boyle, M. P. (2014) · Medical Principles and Practice · doi:10.1159/000357646 · Cited by 3,648
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Liver organoids: established tools for disease modeling and drug development
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Metadata
- Authors
- Liu, F., Zhang, Z., Levit, A., Levring, J., Touhara, K. K., Shoichet, B. K., & Chen, J.
- Venue
- Science
- Published
- 2019-06-21
- Volume
- 364
- Issue
- 6446
- Pages
- 1184-1188
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2951964187
- Cited by
- 253
- References
- 51
- FWCI
- 23.06
- Type
- journal article
- Language
- en
- Open access
- green
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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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