Evidence map›Paper›PMID 42828077›Full record

ArticleComputational and structural biotechnology journal2026

Gold Nanoparticle-Based Systems for Targeting the Ara h2 Allergen: A Molecular Modeling Approach.

Aliyeh Mehranfar, Akhilesh Kumar Shakya, Roland Faller

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Aliyeh MehranfarDepartment of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID https://orcid.org/0000-0001-8415-0070
Akhilesh Kumar ShakyaDepartment of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID https://orcid.org/0000-0002-8907-7009
Roland FallerDepartment of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID https://orcid.org/0000-0001-9946-3846

Funding

Microneedles for treatment of peanut allergyR01AI135197 · NIAID · TEXAS TECH UNIVERSITY · PI GILL, HARVINDER SINGH · 2018 to 2022
$3.3M
NIAID NIH HHS R01 AI135197
6 · The paper itself

Abstract

Arachis hypogaea 2 (Ara h2), the major peanut allergen responsible for severe allergic reactions in a large proportion of the population, is a key target for the detection of peanut allergenicity. In this study, the ability of gold nanoparticles functionalized with a peptide group to bind Ara h2 was investigated using molecular dynamics (MD) simulations. According to the structure of the peanut allergen Ara h2, which binds to a high-affinity IgE receptor, 130 amino acids of IgE have considerable interaction with the Ara h2 allergen. Therefore, a new peptide comprising these amino acids was designed as a functionalization agent for gold nanoparticles. To investigate the role of nanoparticle shape in the dynamics and interactions between Ara h2 and the designed systems, 2 shapes of gold nanoparticles were selected: rod-shaped (NR-Pep) and spherical (NP-Pep). Moreover, given the widespread use of phosphate-buffered saline (PBS) in experimental studies to mimic physiological conditions, its influence on the stability and behavior of the complexes was investigated alongside commonly used standard physiological conditions in MD simulations. MD simulations show that buffer conditions enhance the structural stability and compactness of the Ara h2@IgE complex. Based on these results, Ara h2 was substantially affected when interacting with functionalized gold nanoparticles (NP-Pep and NR-Pep). Among the studied nanoparticles, the rod (NR-Pep) forms a more stable complex with Ara h2 than do NP-Pep and IgE, which is the human receptor for the peanut allergen. Multiple analyses confirm that the designed nanoparticles are promising candidates for adsorbing the peanut allergen Ara h2.

Identifiers

PMID42828077
PMCPMC13632937

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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.