Evidence mapPaperPMID 39698273Full record

ArticleACS pharmacology & translational science2024

Screened Fv-Antibodies against the Angiotensin-Converting Enzyme 2 (ACE2) Receptor Neutralizing the Infection of SARS-CoV-2.

Jaeyong Jung, Soonil Kwon, Jeong Soo Sung, Hyung Eun Bae, Min-Jung Kang, Joachim Jose, Misu Lee, Jae-Chul Pyun

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jaeyong JungDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Soonil KwonDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Jeong Soo SungDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Hyung Eun BaeDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.ORCID https://orcid.org/0009-0006-1614-0202
Min-Jung KangKorea Institute of Science and Technology (KIST), Seoul 02456, Korea.
Joachim JoseInstitute of Pharmaceutical and Medical Chemistry, Westfälischen Wilhelms-Universität Münster, 48149Müenster, Germany.ORCID https://orcid.org/0000-0002-0666-2676
Misu LeeDivision of Life Sciences, College of Life Science and Bioengineering, Incheon National University, Incheon 22012, Korea.
Jae-Chul PyunDepartment of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.ORCID https://orcid.org/0000-0001-9954-6860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the prevention of SARS-CoV-2 infection, four Fv-antibodies with binding affinity for the ACE2 receptor were screened from an Fv-antibody library. The screened Fv-antibodies were expressed as soluble proteins and estimated to have a high binding affinity, comparable to that between SARS-CoV-2 and the ACE2 receptor. The interaction between the Fv-antibodies and the ACE2 receptor was analyzed using docking simulation, and the significant binding affinity of the screened Fv-antibodies was attributed to the homology in amino acid sequence with the ACE2 receptor. The neutralizing activities of the Fv-antibodies were demonstrated using a cell-based infection assay based on four pseudo-virus types with SARS-CoV-2 variant spike proteins (Wild-type D614, Delta B.1.617.2, and Omicron BA.2, and Omicron BA.4/5).

Identifiers

PMID39698273
PMCPMC11651164

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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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.