Evidence map›Paper›PMID 38202724›Full record

ArticleMolecules (Basel, Switzerland)2023

Assessment of Novel Proteins Triggering Celiac Disease via Docking-Based Approach.

Mariyana Atanasova, Ivan Dimitrov, Antonio Fernandez, Javier Moreno, Frits Koning, Irini Doytchinova

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
0.5field-weighted citation impact, top 31% of its field
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, 2 citations in OpenAlex.

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

6 authors at 4 institutions in 4 countries.

Mariyana AtanasovaFaculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0001-9761-0355
Ivan DimitrovFaculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0003-4838-312X
Antonio FernandezEuropean Food Safety Authority, 43126 Parma, Italy.
Javier MorenoInstituto de Investigación en Ciencias de la Alimentación (CIAL), Consejo Superior de Investigaciones Cientificas-Universidad Autonoma de Madrid (CSIC-UAM), Campus of Interntional Excellence-CEI (UAM+CSIC), Nicolás Cabrera, 9, 28049 Madrid, Spain.ORCID 0000-0002-7637-9542
Frits KoningDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.
Irini DoytchinovaFaculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0002-1469-1768
Medical University of Sofia · BGConsejo Superior de Investigaciones Científicas · ESEuropean Food Safety Authority · ITLeiden University · NL

Funding

Centre of Excellence for Informatics and ICT supported by the Science and Education for Smart Growth Operational Pro-gram and co-financed by the European Union through the European Structural and Investment funds BG05M2OP001-1.001- 0003European Food Safety Authority OC/EFSA/GMO/2019/02
6 · The paper itself

Abstract

Human leukocyte antigens (HLAs) are pivotal in antigen processing, presenting to CD4+ T cells, and are linked to autoimmune disease susceptibility. In celiac disease, HLA-DQ2.5 and HLA-DQ8.1 bind gluten peptides on APCs, some recognized by CD4+ T cells, prompting inflammation and tissue damage. While extensively studied experimentally, these alleles lack comprehensive in silico analysis. To explore peptide-HLA preferences, we used molecular docking on peptide libraries, deriving quantitative matrices (QMs) for evaluating amino acids at nine-residue peptide binding cores. Our findings tie specific residue preferences to peptide backbone conformations. Validating QMs on known binders and non-binders showed strong predictive power (89-94% accuracy). These QMs excel in screening protein libraries, even whole proteomes, notably reducing time and costs for celiac disease risk assessment in novel proteins. This computational approach aligns with European Food Safety Authority guidance, promising efficient screening for potential celiac disease triggers.

Indexed as

Celiac DiseaseAmino AcidsGlutensHumansMolecular Docking SimulationPeptidesAmino AcidsGlutensPeptidesceliac diseaseHLA-DQ2.5HLA-DQ8.1molecular dockingpeptide binding predictionquantitative matrix

Identifiers

PMID38202724
PMCPMC10780262
OpenAlexW4390231368

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.