Evidence map›Paper›PMID 42121126›Full record

ArticleBMC biotechnology2026

Affinity enhancement of an anti-VEGF humanized nanobody as a superior candidate to bevacizumab: integrative in silico and in vitro studies.

Mir Salar Kazemi, Seyed Shahriar Arab, Fatemeh Kazemi-Lomedasht, Reza Ahangari Cohan, Fatemeh Zandi, Alireza Shoari, Mohammad Hosseininejad-Chafi, Golnoosh Mahjoobi, Arghavan Ashja Ardalan, Mozhgan Rezaei Kanavi and 1 more

Abstract read
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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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mir Salar KazemiBiotechnology Research Center, Venom and Biotherapeutics Molecules Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Seyed Shahriar ArabCenter of Molecular Medicine, Georgia University, Athens, GA, 30602, USA.
Fatemeh Kazemi-LomedashtBiotechnology Research Center, Venom and Biotherapeutics Molecules Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Reza Ahangari CohanNanobiotechnology Department, New Technologies Research Group, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh ZandiBiotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Alireza ShoariDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Mohammad Hosseininejad-ChafiBiotechnology Research Center, Venom and Biotherapeutics Molecules Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Golnoosh MahjoobiBiotechnology Research Center, Venom and Biotherapeutics Molecules Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Arghavan Ashja ArdalanDepartment of Pharmacy and Biotechnology, University of Bologna, 40126, Bologna, Italy.
Mozhgan Rezaei KanaviOcular Tissue Engineering Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran. rezaeikanavi@gmail.com.ORCID 0000-0002-1497-2260
Mahdi BehdaniBiotechnology Research Center, Venom and Biotherapeutics Molecules Laboratory, Pasteur Institute of Iran, Tehran, Iran. behdani@pasteur.ac.ir.ORCID 0000-0002-4839-5123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough nanobodies have superior characteristics to conventional antibodies, their affinities are often lower because of a single interaction site for antigen binding. Therefore, in the current study, a bioinformatics approach was employed to enhance the affinity of a humanized anti-VEGF nanobody even that of the commercially available antibody, bevacizumab.

methodsThe in vitro safe dose and the affinity of the wild and mutated nanobodies were determined and compared to bevacizumab. The best mutated nanobodies (MHNb136 and MHNb256) were selected by implementing umbrella sampling simulation to improve the binding affinity of the wild-type nanobody (WHNb) to VEGF. In vitro safety investigations were performed on nanobodies with doses of 12.5, 25, 50, and 100 µg, equivalent to the dose of bevacizumab as the conventional treatment.

resultsUltimately, umbrella sampling results showed that MHNb136 and MHNb256 bind to VEGF more strongly, with ΔG values of -39.3 and -32.64 kcal/mol, respectively, than WHNb, which has a ΔG value of -19.05 kcal/mol. BIACORE assay results indicated that MHNb136 and MHNb256 bind to VEGF with higher affinity than bevacizumab as a reference.

conclusionEventually, MHNb136 and MHNb256 can be subjected for further clinical investigation due to the superiority to bevacizumab.

Indexed as

BevacizumabSingle-Domain AntibodiesVascular Endothelial Growth Factor AAntibodies, Monoclonal, HumanizedAntibody AffinityComputer SimulationHumansAntibodies, Monoclonal, HumanizedBevacizumabSingle-Domain AntibodiesVascular Endothelial Growth Factor AVEGFA protein, humanBIACORENanobodyUmbrella sampling simulationVEGF

Identifiers

PMID42121126
PMCPMC13334927

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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.