ReviewFundamental research2026
A brief guideline for the studies of structure-function relationship of ion channels using AlphaFold3.
Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Integrating AI and Molecular Modeling for Structural Prediction of a Closed-Pore State of the hERG Channel.Journal of chemical information and modeling · 2026Article
- A New Endolysin Lys59: A Broad-Spectrum Phage Endolysin Targeting Both Gram-Negative and Gram-Positive Bacteria.Microorganisms · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ion channels are crucial membrane proteins that regulate ion flux, thus affecting a broad range of physiological processes and disease mechanisms. Traditional approaches, such as X-ray crystallography and cryo-electron microscopy, often face significant challenges in resolving the structure-function relationships of ion channels due to the complex subunit assemblies, transient functional states, and high experimental costs. AlphaFold3 offers a major leap forward by accurately modeling multimeric channels, predicting ligand and ion interactions, and refining subunit interfaces. Building on AlphaFold2, it integrates diffusion-based algorithms and enhanced confidence metrics to explore gating, auxiliary subunits, disease-linked mutations, etc. This review outlines AlphaFold3's key innovations and provides a step-by-step protocol for its use in predicting ion channel complexes. We discuss essential structural parameters, common software for basic analyses, and complementary techniques including molecular dynamics simulations, molecular docking, functional assays (electrophysiology and ion imaging) and structure biology techniques that extend and validate computational findings. Representative examples, including the P2X receptors and voltage-gated calcium channels, demonstrate AlphaFold3's ability to clarify channel assembly, gating mechanisms, channelopathies, and therapeutic opportunities. Finally, we address AlphaFold3's remaining limitations. Despite these hurdles, AlphaFold3 offers a transformative platform that, when integrated with established experimental methods, is poised to significantly advance ion channel research and drug discovery.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.