Evidence map›Paper›PMID 41649736›Full record

ArticleJournal of fluorescence2026

Evaluation of Artificial Intelligence-Generated DNA Aptamers Against Treponema pallidum Surface Proteins.

John G Bruno, Shamsudin Nasaev, Dmitry Ufaev, Jeffrey C Sivils

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of fluorescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

John G BrunoNanohmics Inc., 6201 E. Oltorf Street Suite 400, Austin, TX, 78741, USA. jbruno@nanohmics.com.
Shamsudin NasaevXelari Inc., 8 The Green B, Dover, DE, 19901, USA.
Dmitry UfaevXelari Inc., 8 The Green B, Dover, DE, 19901, USA.
Jeffrey C SivilsNanohmics Inc., 6201 E. Oltorf Street Suite 400, Austin, TX, 78741, USA.

Funding

Development of a Treatment for Syphilis75N93025C00010 · NIAID · NANOHMICS, INC. · PI SAVOY, STEVE MICHAEL · 2025 to 2025
$300k
NIAID NIH HHS 75N93025C00010
6 · The paper itself

Abstract

DNA aptamer sequences were selected in silico with assistance from artificial intelligence (AI) using the new Xelari.com platform against three known immunogenic surface proteins of Treponema pallidum designated Tpp17, Tpp47 and Tp0751. The in silico aptamers were synthesized with 5' Alexa Fluor 647 labels and shown to bind live Treponema pallidum by fluorescence microscopy and spectrofluorometry. While AI-predicted K

Indexed as

Aptamers, NucleotideArtificial IntelligenceBacterial ProteinsMembrane ProteinsTreponema pallidumMolecular Docking SimulationAptamers, NucleotideBacterial ProteinsMembrane ProteinsAgenticAptamerArtificial intelligenceIn silicoSyphilisTreponema

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.