The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A LARGE-SCALE EVOLUTIONARY AND STRUCTURAL ANALYSIS OF CLC CHANNELS AND TRANSPORTERS
Open accessPreprint — published as 10.1002/pro.70389 · Paper page
Abstract
The CLC family of membrane transport proteins consists of chloride channels and anion/proton antiporters that share a similar structural scaffold. How the same fold accommodates two fundamentally distinct mechanisms is poorly understood, and while the current set of experimental structures provide some information, the changes appear limited. In this study, we show that it is possible to scale up the structural information available using AlphaFold2 predictions and identify additional structural differences associated with each mechanistic class. A phylogenetic analysis is carried out across all known CLC genes to expand the classification to include 569 channel and 1,051 transporter homologs that have been modeled. Using distance matrices, we validate AlphaFold2’s ability to detect subtle structural differences among experimentally determined CLCs and use a random forest classifier to predict CLC channel vs. transporter sub-types to learn the structural changes that are the most important in the decision. The structural changes identified overlap with and contextualize the changes observed in experimental structures, expanding structural information across sequence space. The highest ranked change includes a contraction of distances between dimerization interface helices αH, αI, αP & αQ relative to the subunit core in the channel sub-types. This study lays out an approach for quantitative, large-scale structural analyses beyond experimental data and paves the way towards structural studies expanding on different conformational states and other protein families.
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
Figures





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
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Varadi, M., Bertoni, D., Magana, P., Paramval, U., Pidruchna, I., Radhakrishnan, M., Tsenkov, M., Nair, S., Mirdita, M., Yeo, J., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1011 · Cited by 2,052 · cited 1×
“AF2 structures were downloaded from the AlphaFold Protein Structure Database (Varadi et al., 2024) following the list of Uniprot IDs for the IPR001807 family of CLC proteins.”
Sampling alternative conformational states of transporters and receptors with AlphaFold2
del Alamo, D., Sala, D., Mchaourab, H. S., & Meiler, J. (2022) · eLife · doi:10.7554/elife.75751 · Cited by 511
Research works printed but not linked: 48
- 10.1016/j.bbamem.2010.02.022 · DOI
- 10.1080/01621459.2023.2197686 · DOI
- 10.1074/jbc.M502890200 · DOI
- 10.1126/science.277.5331.1453 · DOI
- 10.1093/nar/gkae1082 · DOI
- 10.1098/rspb.2009.1679 · DOI · Paper page
- 10.1074/jbc.M502826200 · DOI
- 10.7554/eLife.63288 · DOI
- 10.1002/pro.4353 · DOI · Paper page
- 10.7554/eLife.53479 · DOI · Paper page
- 10.1038/nature05013 · DOI
- 10.1038/415287a · DOI · Paper page
- 10.1126/science.1082708 · DOI · Paper page
- 10.1126/science.1195230 · DOI · Paper page
- 10.1126/science.1195230 · DOI · Paper page
- 10.1152/physiol.00030.2009 · DOI
- 10.1038/sj.emboj.7601107 · DOI
- 10.3389/fncel.2014.00143 · DOI · Paper page
- 10.1021/cn400032z · DOI
- 10.1016/0263-7855(96)00018-5 · DOI · Paper page
- 10.1109/MCSE.2007.55 · DOI · Paper page
- 10.1038/nature01000 · DOI
- 10.1073/pnas.0804503105 · DOI · Paper page
- 10.7554/eLife.11189 · DOI
- 10.1073/pnas.91.15.6943 · DOI
- 10.1016/S0092-8674(01)00206-9 · DOI · Paper page
- 10.1093/bioinformatics/btz305 · DOI
- 10.1038/emboj.2011.137 · DOI
- 10.1093/nar/gkab301 · DOI
- 10.1085/jgp.200810112 · DOI
- 10.1038/nsmb.1466 · DOI · Paper page
- 10.48550/arXiv.1705.07874 · DOI · Paper page
- Lundberg, S. M. , & Lee, S.-I . (2017). A Unified Approach to Interpreting Model Predictions. Advances in Neural Information Processing Systems, 30. https://proceedings.neurips.cc/paper_files/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html
- 10.1074/jbc.M110.125971 · DOI
- 10.1073/pnas.0708639104 · DOI
- 10.1143/JPSJ.32.1331 · DOI
- 10.1038/nature20812 · DOI · Paper page
- 10.7554/eLife.36629 · DOI · Paper page
- 10.48550/arXiv.1201.0490 · DOI · Paper page
- 10.1038/nature03720 · DOI
- 10.1016/j.febslet.2005.12.054 · DOI
- 10.1038/nature09556 · DOI
- 10.1085/jgp.113.3.457 · DOI
- 10.1038/nature03860 · DOI
- 10.1371/journal.pcbi.1010483 · DOI · Paper page
- 10.3389/fphys.2014.00378 · DOI
- 10.1016/S1574-0005(02)03016-3 · DOI
- 10.3390/cells11030366 · DOI
Metadata
- Authors
- Mishra, A., Vázquez, G. D., & Robertson, J. L.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Robertson, Janice L.
- Venue
- Protein Science
- Publisher
- openRxiv
- Published
- 2025-07-10
- Volume
- 34
- Issue
- 12
- Pages
- e70389-e70389
- ISSN
- 0961-8368 (ISSN-L)
- PMC
- PMC12639529
- OpenAlex
- W4416540132
- Cited by
- 3
- References
- 3
- Citations by year
- 2026: 3
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- www.biorxiv.org/about/FAQ#license (vor)
- Locations
- Protein Science (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R03NS133680)
- National Heart Lung and Blood Institute (T32HL007081)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Keywords
- chloride channels, protein structure prediction, AlphaFold2, phylogenetic analysis, structural classification, Shapley value, protein evolution
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: A LARGE-SCALE EVOLUTIONARY AND STRUCTURAL ANALYSIS OF CLC CHANNELS AND TRANSPORTERS. https://app.cochat.ai/papers/10.1101/2025.07.07.663545
- The paper
- Mishra, A., Vázquez, G. D., & Robertson, J. L. (2025). A LARGE-SCALE EVOLUTIONARY AND STRUCTURAL ANALYSIS OF CLC CHANNELS AND TRANSPORTERS. Protein Science. https://doi.org/10.1101/2025.07.07.663545