ReviewChannels (Austin, Tex.)2024
Structural modeling of ion channels using AlphaFold2, RoseTTAFold2, and ESMFold.
Review in Channels (Austin, Tex.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 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 brief guideline for the studies of structure-function relationship of ion channels using AlphaFold3.Fundamental research · 2026Review
- The Shape of Things to Come: α-Helical Membrane Protein Folding on the Ribosome.Chemical reviews · 2026Review
- Artificial intelligence in cardio-oncology: decoding mechanisms, predicting toxicity, and personalizing cancer therapy.Frontiers in cardiovascular medicine · 2026Review
- AI-driven discovery in protein science for immunology and infectious disease research.Frontiers in bioinformatics · 2026Review
- Perspectives on TRPV Channels in the Structural and Computational Revolution Era.Advances in experimental medicine and biology · 2026Review
- Recent advances in the pharmacology of voltage-gated ion channels.Pharmacological reviews · 2025Review
- Differential Inhibition by Cenobamate of Canonical Human Nav1.5 Ion Channels and Several Point Mutants.International journal of molecular sciences · 2025Article
- Advancements in the conservation of the conformational epitope of membrane protein immunogens.Frontiers in immunology · 2025Review
- Harnessing Deep Learning Methods for Voltage-Gated Ion Channel Drug Discovery.Physiology (Bethesda, Md.) · 2025Review
- Toxins from Animal Venom-A Rich Source of Active Compounds with High Pharmacological Potential.Toxins · 2024Article
- Discovery of Therapeutic Antibodies Targeting Complex Multi-Spanning Membrane Proteins.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024Review
- Transmembrane proteins in grape immunity: current knowledge and methodological advances.Frontiers in plant science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Ion channels play key roles in human physiology and are important targets in drug discovery. The atomic-scale structures of ion channels provide invaluable insights into a fundamental understanding of the molecular mechanisms of channel gating and modulation. Recent breakthroughs in deep learning-based computational methods, such as AlphaFold, RoseTTAFold, and ESMFold have transformed research in protein structure prediction and design. We review the application of AlphaFold, RoseTTAFold, and ESMFold to structural modeling of ion channels using representative voltage-gated ion channels, including human voltage-gated sodium (Na
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What OpenQuestion 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 OpenQuestion graph.