Evidence map›Paper›PMID 35530743›Full record

ArticleComputational and structural biotechnology journal2022

Computational approach for binding prediction of SARS-CoV-2 with neutralizing antibodies.

Daria Beshnova, Yan Fang, Mingjian Du, Yehui Sun, Fenghe Du, Jianfeng Ye, Zhijian James Chen, Bo Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 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
0.8field-weighted citation impact, top 28% 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, 8 citations in OpenAlex.

  1. Article
  2. Unlocking the potential ofFrontiers in bioinformatics · 2025
    Review
  3. Article
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

8 authors at 2 institutions in 1 country.

Daria BeshnovaLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Yan FangDepartment of Molecular Biology, USA.
Mingjian DuDepartment of Molecular Biology, USA.
Yehui SunDepartment of Molecular Biology, USA.
Fenghe DuDepartment of Molecular Biology, USA.
Jianfeng YeLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Zhijian James ChenDepartment of Molecular Biology, USA.
Bo LiLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Molecular Biology Consortium · USSouthwestern Medical Center · US

Funding

Antigen-independent prediction and biomarker identification of cancer-specific T cellsR01CA245318 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI LI, BO · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA245318
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread worldwide as a severe pandemic and caused enormous global health and economical damage. Since December 2019, more than 197 million cases have been reported, causing 4.2 million deaths. In the settings of pandemic it is an urgent necessity for the development of an effective COVID-19 treatment. While

Indexed as

Binding predictionModifications of RegdanvimabRegdanvimab antibodySARS-CoV-2 antibodies

Identifiers

PMID35530743
PMCPMC9059344
OpenAlexW4225285785

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.