Evidence map›Paper›PMID 40096593›Full record

ArticleBiochemistry2025

Design of Mimetic Antibodies Targeting the SARS-CoV-2 Spike Glycoprotein Based on the GB1 Domain: A Molecular Simulation and Experimental Study.

Anderson A E Santo, Aline Reis, Anderson A Pinheiro, Paulo I da Costa, Gustavo T Feliciano

Abstract read
In one paragraph

Article in Biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anderson A E SantoInstitute of Chemistry, São Paulo State University, Araraquara, SP 14800-900, Brazil.
Aline ReisSchool of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP 14801-360, Brazil.
Anderson A PinheiroSchool of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP 14801-360, Brazil.
Paulo I da CostaSchool of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP 14801-360, Brazil.
Gustavo T FelicianoInstitute of Chemistry, São Paulo State University, Araraquara, SP 14800-900, Brazil.ORCID 0000-0001-5559-5919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of fast and significant technological transformations, it is natural for innovative artificial intelligence (AI) methods to emerge for the design of bioactive molecules. In this study, we demonstrated that the design of mimetic antibodies (MA) can be achieved using a combination of software and algorithms traditionally employed in molecular simulation. This combination, organized as a genetic algorithm (GA), has the potential to address one of the main challenges in the design of bioactive molecules: GA convergence occurs rapidly due to the careful selection of initial populations based on intermolecular interactions at antigenic surfaces. Experimental immunoenzymatic tests prove that the GA successfully optimized the molecular recognition capacity of one of the MA. One of the significant results of this study is the discovery of new structural motifs, which can be designed in an original and innovative way based on the MA structure itself, eliminating the need for preexisting databases. Through the GA developed in this study, we demonstrated the application of a new protocol capable of guiding experimental methods in the development of new bioactive molecules.

Indexed as

Antibodies, ViralSARS-CoV-2Spike Glycoprotein, CoronavirusAlgorithmsCOVID-19Drug DesignHumansMolecular Dynamics SimulationProtein DomainsSoftwareAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID40096593
PMCPMC11966750

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.