Evidence map›Paper›PMID 42663961›Full record

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

Threading of Single Protein Molecules Through a Solid-State Nanopore.

Km Mamata Patel, Saurabh Chaubey, Prabhat Tripathi

Abstract read
PubMed Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Km Mamata PatelDepartment of Chemistry, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, UP, India.
Saurabh ChaubeyDepartment of Chemistry, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, UP, India.
Prabhat TripathiDepartment of Chemistry, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, UP, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The building blocks and machinery of cells that maintain homeostasis and functional biological architecture are proteins. Protein analysis is a crucial aspect of modern biology, biophysics, biochemistry, and medicine, with numerous applications ranging from disease diagnostics to drug development. In recent years, nanopore technology has emerged as a promising approach for probing and characterizing proteins at the single-molecule level. A tiny hole in a biological or solid-state membrane is known as a nanopore, which can be used to detect the physical and chemical behavior of single protein molecules as they pass through the analyzer nanopore. This instructional book chapter helps users with a manual and a point of reference for employing nanopores for single-molecule measurements and analysis of protein translocation through a nanopore. Nanopore technology requires simple and easy protein sample preparation and can detect ultra-low-abundance of water-soluble proteins. One of its most important advantages is the capacity to deliver real-time analysis of label-free protein's structure and dynamics with sub-microseconds time resolution. As proteins pass through the nanopore, they can disrupt the ionic current flowing through the pore, which can give information about the protein's size, shape, sequences, conformation changes (folding and unfolding), short-lived intermediate states, transition states, and metastable states.

Indexed as

NanoporesNanotechnologyProteinsSingle Molecule ImagingProteinsNanopore technologyProteinsSolid-state nanoporeTranslocation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.