Evidence map›Paper›PMID 35903104›Full record

ArticleFrontiers in immunology2022

SARS-Arena: Sequence and Structure-Guided Selection of Conserved Peptides from SARS-related Coronaviruses for Novel Vaccine Development.

Mauricio Menegatti Rigo, Romanos Fasoulis, Anja Conev, Sarah Hall-Swan, Dinler Amaral Antunes, Lydia E Kavraki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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 2 institutions in 1 country.

Mauricio Menegatti RigoKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Romanos FasoulisKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Anja ConevKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Sarah Hall-SwanKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Dinler Amaral AntunesAntunes Lab, Center for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX, United States.
Lydia E KavrakiKavraki Lab, Department of Computer Science, Rice University, Houston, TX, United States.
Rice University · USUniversity of Houston · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
PROTEAN-CR: Proteomics Toolkit for Ensemble Analysis in Cancer ResearchU01CA258512 · NCI · RICE UNIVERSITY · PI KAVRAKI, LYDIA E., LIZEE, GREGORY A · 2021 to 2023
$1.2M
NCI NIH HHS U01 CA258512NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

The pandemic caused by the SARS-CoV-2 virus, the agent responsible for the COVID-19 disease, has affected millions of people worldwide. There is constant search for new therapies to either prevent or mitigate the disease. Fortunately, we have observed the successful development of multiple vaccines. Most of them are focused on one viral envelope protein, the spike protein. However, such focused approaches may contribute for the rise of new variants, fueled by the constant selection pressure on envelope proteins, and the widespread dispersion of coronaviruses in nature. Therefore, it is important to examine other proteins, preferentially those that are less susceptible to selection pressure, such as the nucleocapsid (N) protein. Even though the N protein is less accessible to humoral response, peptides from its conserved regions can be presented by class I Human Leukocyte Antigen (HLA) molecules, eliciting an immune response mediated by T-cells. Given the increased number of protein sequences deposited in biological databases daily and the N protein conservation among viral strains, computational methods can be leveraged to discover potential new targets for SARS-CoV-2 and SARS-CoV-related viruses. Here we developed SARS-Arena, a user-friendly computational pipeline that can be used by practitioners of different levels of expertise for novel vaccine development. SARS-Arena combines sequence-based methods and structure-based analyses to (i) perform multiple sequence alignment (MSA) of SARS-CoV-related N protein sequences, (ii) recover candidate peptides of different lengths from conserved protein regions, and (iii) model the 3D structure of the conserved peptides in the context of different HLAs. We present two main Jupyter Notebook workflows that can help in the identification of new T-cell targets against SARS-CoV viruses. In fact, in a cross-reactive case study, our workflows identified a conserved N protein peptide (SPRWYFYYL) recognized by CD8

Indexed as

COVID-19SARS-CoV-2CD8-Positive T-LymphocytesCOVID-19 VaccinesEpitopes, T-LymphocyteHumansPeptidesVaccine DevelopmentCOVID-19 VaccinesEpitopes, T-LymphocytePeptidesHLA-Arenanucleocapsid proteinpHLA scoringprotein sequence alignmentSARS-CoVSARS-CoV-2structural modeling

Identifiers

PMID35903104
PMCPMC9315150
OpenAlexW4285041044

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.