Evidence map›Paper›PMID 41940311›Full record

ArticleComputational and structural biotechnology journal2026

EMoMiS: A pipeline for epitope-based molecular mimicry search in protein structures with potential applications to SARS-CoV-2.

Vitalii Stebliankin, Rajeshwari Chellappan, Prabin Baral, Christian Balbin, Janelle Nunez-Castilla, Masrur Sobhan, Trevor Cickovski, Ashleigh N Riegler, Ananda Mohan Mondal, Jessica Siltberg-Liberles and 5 more

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. 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. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    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

15 authors.

Vitalii StebliankinBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Rajeshwari ChellappanDepartment of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, USA.
Prabin BaralDepartment of Physics, College of Arts, Science and Education, Florida International University, Miami, USA.
Christian BalbinDepartment of Biological Sciences, College of Arts, Science and Education, Florida International University, Miami, USA.
Janelle Nunez-CastillaDepartment of Biological Sciences, College of Arts, Science and Education, Florida International University, Miami, USA.
Masrur SobhanBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Trevor CickovskiBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Ashleigh N RieglerDepartment of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, USA.
Ananda Mohan MondalBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Jessica Siltberg-LiberlesDepartment of Biological Sciences, College of Arts, Science and Education, Florida International University, Miami, USA.
Prem ChapagainDepartment of Physics, College of Arts, Science and Education, Florida International University, Miami, USA.
Sathibalan PonniahImmune Analytics LLC, 7008 Golden Seeds Row, Columbia, MD 21044, USA.
Sixto M LealDepartment of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, USA.
Kalai MatheeDepartment of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, USA.
Giri NarasimhanBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.

Funding

The Impact of SARS-CoV-2 Immune Dysregulation on Antifungal ImmunityR01AI170719 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Sixto Manuel Leal · 2023 to 2026
$2.9M
NIAID NIH HHS R01 AI170719
6 · The paper itself

Abstract

The Epitope-based Molecular Mimicry Search (EMoMiS) pipeline developed in this study provides a valuable computational tool for predicting molecular mimicry between antigens. The novelty of the tool includes a prediction of antibody cross-reactivity, which can have beneficial or detrimental effects on the immune system. The developed pipeline can be seen as a tool for pandemic preparedness. First, EMoMiS can predict if antibodies produced by exposure to prior viruses can cross-react with a newly emerged pathogen, resulting in cross-protection. On the other hand, EMoMiS can suggest if molecular mimicry between a pathogen and human proteins can lead to autoimmune disorders, such that early preventive therapeutics strategies can be developed. After we first verified that EMoMiS could predict previously documented cross-reactivity between antibodies for the Zika virus with Dengue, the pipeline predicted examples of molecular mimicry between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike and other proteins, including thrombopoietin (TPO), a hormone that regulates systemic platelet concentrations. The study provides experimental support for the predicted molecular mimicry by showing increased TPO co-localization with platelets, complement-fixing IgM antibodies, and C3d in lung tissue sections from SARS-CoV-2 patients.

Indexed as

Autoimmune disorderCross-reactivityEpitopeMolecular mimicrySpike protein

Identifiers

PMID41940311
PMCPMC12887670

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.