Evidence map›Paper›PMID 35047875›Full record

ArticleFrontiers in medical technology2020

Structure-Based Modeling of SARS-CoV-2 Peptide/HLA-A02 Antigens.

Santrupti Nerli, Nikolaos G Sgourakis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medical technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  15. Predicting the Immunogenicity of T cell epitopes: From HIV to SARS-CoV-2.bioRxiv : the preprint server for biology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Santrupti NerliDepartment of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, United States.
Nikolaos G SgourakisCenter for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Children's Hospital of Philadelphia · USUniversity of California, Santa Cruz · US

Funding

An integrative structural biology approach to understanding metabolite recognition by cellular receptorsR35GM125034 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SGOURAKIS, NIKOLAOS · 2017 to 2025
$4.7M
Molecular mechanism of antigen editing by Class-I MHC ChaperonesR01AI143997 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SGOURAKIS, NIKOLAOS · 2019 to 2023
$4.0M
NIAID NIH HHS R01 AI143997NIGMS NIH HHS R35 GM125034
6 · The paper itself

Abstract

SARS-CoV-2-specific CD4 and CD8 T cells have been shown to be present in individuals with acute, mild, and asymptomatic Coronavirus disease (COVID-19). Toward the development of diagnostic and therapeutic tools to fight COVID-19, it is important to predict and characterize T cell epitopes expressed by SARS-CoV-2. Here, we use RosettaMHC, a comparative modeling approach which leverages existing structures of peptide/MHC complexes available in the Protein Data Bank, to derive accurate 3D models for putative SARS-CoV-2 CD8 epitopes. We outline an application of our method to model 8-10 residue epitopic peptides predicted to bind to the common allele HLA-A

Indexed as

epitope-based vaccineepitope cross-reactivityMHC-IrosettaSARS-CoV-2T cell epitopes

Identifiers

PMID35047875
PMCPMC8757863
OpenAlexW3102692111

What OpenQuestion holds

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LicenceCC BY
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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.