Evidence map›Paper›PMID 42423889›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Analysis of Complex Single-Molecule Kinetics: A Protocol for Single-Molecule Interaction Simulations (SMIS).

Guangjie Yan, Luiz B Fernandez, Tai-Yen Chen

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Guangjie YanDepartment of Chemistry, University of Houston, Houston, TX, USA.
Luiz B FernandezDepartment of Chemistry, University of Houston, Houston, TX, USA.
Tai-Yen ChenDepartment of Chemistry, University of Houston, Houston, TX, USA. tchen37@central.uh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule techniques have transformed molecular biology by enabling direct observation of individual biomolecular events in real time. While single-molecule localization methods have advanced spatial resolution, they lack the temporal resolution needed to capture dynamic interactions. Single-molecule fluorescence resonance energy transfer (smFRET) addresses this gap by revealing transient molecular states often hidden in ensemble measurements. However, extracting reliable kinetic parameters from smFRET data is hindered by noise artifacts, photophysical effects, and the analytical complexity of stochastic state transitions. To address these limitations, Single-Molecule Interaction Simulation (SMIS) provides a robust framework that enables kinetic analysis by simulating molecular transitions and generating interpretable dwell-time distributions. Unlike traditional approaches requiring complex differential equations, SMIS simplifies kinetic modeling and directly addresses challenges in reproducibility. This chapter outlines a comprehensive protocol for implementing SMIS, from defining kinetic schemes to extracting kinetic rate constants by comparing simulation outcomes against experimental data. By integrating SMIS into the analysis workflow, researchers can extract accurate kinetic insights from smFRET experiments, extending their applicability and enhancing the interpretability of single-molecule studies.

Indexed as

Fluorescence Resonance Energy TransferSingle Molecule ImagingComputer SimulationKineticsDwell-time distributionKinetic modelingSimulated kineticsSingle-molecule interaction simulation (SMIS)smFRET

Identifiers

What OpenQuestion holds

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Registered trials

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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.