Evidence map›Paper›PMID 41236374›Full record

ArticleACS synthetic biology2025

Reprogramming the SARS-CoV-1 Neutralizing Antibody S230 to SARS-CoV-2 via Directed Evolution and Molecular Docking-Based Binding Mode Analysis.

Inji Jung, Dinesh Kumar Sriramulu, Sun-Gu Lee, Sang Taek Jung

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. 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

4 authors.

Inji JungDepartment of Biomedical Sciences, Graduate School, Korea University, Seoul 02707, Republic of Korea.
Dinesh Kumar SriramuluDepartment of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-6512-9337
Sun-Gu LeeDepartment of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-3331-1791
Sang Taek JungSchool of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-7217-979X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reprogram the antigen specificity of the SARS-CoV-1 neutralizing antibody S230 toward SARS-CoV-2, we employed a strategy combining directed evolution with molecular docking-based analysis. An error-prone scFv library was constructed from S230 and screened via bacterial display using the SARS-CoV-2 RBD. Among the enriched clones, IJ36 regained SARS-CoV-2 RBD binding and was further refined to an optimized variant, IJ36-V. IJ36-V efficiently neutralized SARS-CoV-2 infection and retained cross-reactivity with the SARS-CoV-1 RBD, confirming that the reprogrammed antibody preserved the ancestral specificity while extending its functional breadth. Docking simulations revealed that two substitutions, R56W and N57Y, function cooperatively to stabilize the binding interface through favorable hydrogen bonding and aromatic interactions. Reversion analysis confirmed that both mutations are essential for high-affinity binding, with neither being sufficient alone. These findings demonstrate that a limited set of synergistic mutations can reconstitute antigen recognition between evolutionarily divergent but structurally conserved targets. This study establishes a modular and evolvable platform for antibody reprogramming based on synthetic biology principles, enabling rapid adaptation of existing scaffolds to emerging pathogens.

Indexed as

Antibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, CoronavirusCOVID-19Directed Molecular EvolutionHumansMolecular Docking SimulationProtein BindingSARS-CoV-2Single-Chain AntibodiesAntibodies, NeutralizingAntibodies, ViralSingle-Chain AntibodiesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antibody reprogrammingcomputational modelingdirected evolutionSARS-CoV-1SARS-CoV-2

Identifiers

PMID41236374
PMCPMC12723733

What OpenQuestion 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 OpenQuestion graph.