Evidence map›Paper›PMID 42902304›Full record

ArticleBMC biotechnology2026

Affinity improvement of specific scFvs interacting with the Neisseria meningitidis factor H-binding protein: a molecular dynamics simulation approach and experimental study.

Bijan Ghazanfari, Zahra Ebrahimi, Fatemeh Yarian, Arezu Lari, Ali Ghanbariasad, Bahram Kazemi

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Article in BMC biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Bijan GhazanfariDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Zahra EbrahimiDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh YarianDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran. f.yarian@gmail.com.ORCID http://orcid.org/0000-0002-6350-7162
Arezu LariLudwig Boltzmann Institute of Osteology, Vienna, Austria.
Ali GhanbariasadDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Bahram KazemiCellular & Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn silico approaches are becoming increasingly important for enhancing the affinity of antibodies and antibody fragments, including single-chain variable fragments (scFvs). In this study, we present an in silico affinity-maturation workflow designed to improve the affinity of an scFv directed against Neisseria meningitidis factor H-binding protein (fHbp) by integrating in silico maturation, molecular dynamics (MD) simulations, and experimental validation. Approximately 300 single-point substitutions were designed at scFv residues predicted to interact with fHbp, and the resulting V3 (R99D) scFv-fHbp complexes were analyzed through all-atom MD simulations. Guided by bioinformatic analyses, the top V3 (R99D) variant was cloned and expressed, and its binding activity was validated by ELISA.

resultsMD analyses identified five variants, Y35H, L31R, R99D, R99H, and A100K, that exhibited markedly enhanced complex stability. In all variants, the scFv secondary structure remained intact, whereas fHbp showed shrinkage relative to the scFv in the V3 (R99D)-fHbp complexes during the simulations. Hydrogen-bonding patterns and inter-residue distances further supported the improved affinity of the variants relative to the native form. The R99D variant showed the highest binding affinity, with an experimentally measured value of 67.93 × 10⁹ M⁻¹.

conclusionCollectively, these findings underscore affinity maturation as a powerful strategy for engineering high-affinity antibody fragments.

Indexed as

Antigens, BacterialBacterial ProteinsMolecular Dynamics SimulationNeisseria meningitidisSingle-Chain AntibodiesAntibody AffinityHydrogen BondingProtein BindingAntigens, BacterialBacterial Proteinsfactor H-binding protein, Neisseria meningitidisSingle-Chain AntibodiesAffinity improvementFactor H binding proteinMolecular dynamics simulationN. meningitidisSingle-chain variable fragment

Identifiers

PMID42902304
PMCPMC13685201

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