ArticleeLife2020
Top-down machine learning approach for high-throughput single-molecule analysis.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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Who cites it
30 citing papers in PubMed.
- Single-molecule nanophotonic resolution of binding dynamics from apo to fully liganded for a cyclic nucleotide-gated ion channel in cell-derived vesicles.bioRxiv : the preprint server for biology · 2026Article
- Lipid bilayers determine allostery but not intrinsic affinity of cAMP to pacemaker channels.Nature communications · 2026Article
- Ligand Binding Dynamics of Ion Channels and GPCRs Using Single-Molecule Fluorescence.Annual review of biophysics · 2026Review
- Multivalent weak contacts shape chaperone-nascent protein interactions.bioRxiv : the preprint server for biology · 2026Article
- Ultrafast and specific miRNA quantification via single-molecule fluorescence quenching kinetics.Communications biology · 2026Article
- Cryogenic light microscopy of vitrified samples with angstrom precision.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- DeFrND: detergent-free reconstitution into native nanodiscs with designer membrane scaffold peptides.Nature communications · 2025Article
- Cryo-light microscopy with angstrom precision deciphers structural conformations of PIEZO1 in its native state.Science advances · 2025Article
- Single-Molecule Fluorescence Imaging of Energy-Related Catalytic Reactions.Chemical & biomedical imaging · 2025Review
- RNA modifications and Prp24 coordinate Lsm2-8 binding dynamics during S. cerevisiae U6 snRNP assembly.The Journal of biological chemistry · 2025Article
- Lipidic folding pathway of α-Synuclein via a toxic oligomer.Nature communications · 2025Article
- FluoroTensor: Identification and tracking of colocalised molecules and their stoichiometries in multi-colour single molecule imaging via deep learning.Computational and structural biotechnology journal · 2024Article
- A Sequential Binding Mechanism for 5' Splice Site Recognition and Modulation for the Human U1 snRNP.bioRxiv : the preprint server for biology · 2024Article
- cAMP binding to closed pacemaker ion channels is cooperative.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Strategies for Overcoming the Single-Molecule Concentration Barrier.ACS measurement science au · 2023Review
- Mechanism of ADP-Inhibited ATP Hydrolysis in Single Proton-Pumping FInternational journal of molecular sciences · 2023Article
- Methods for automating the analysis of live-cell single-molecule FRET data.Frontiers in cell and developmental biology · 2023Article
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- Gold Ion Beam Milled Gold Zero-Mode Waveguides.Nanomaterials (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Single-molecule approaches provide enormous insight into the dynamics of biomolecules, but adequately sampling distributions of states and events often requires extensive sampling. Although emerging experimental techniques can generate such large datasets, existing analysis tools are not suitable to process the large volume of data obtained in high-throughput paradigms. Here, we present a new analysis platform (DISC) that accelerates unsupervised analysis of single-molecule trajectories. By merging model-free statistical learning with the Viterbi algorithm, DISC idealizes single-molecule trajectories up to three orders of magnitude faster with improved accuracy compared to other commonly used algorithms. Further, we demonstrate the utility of DISC algorithm to probe cooperativity between multiple binding events in the cyclic nucleotide binding domains of HCN pacemaker channel. Given the flexible and efficient nature of DISC, we anticipate it will be a powerful tool for unsupervised processing of high-throughput data across a range of single-molecule experiments.
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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.