Evidence map›Paper›PMID 38736021›Full record

ArticleMolecular biotechnology2025

Design and Production of a Novel Anti-PD-1 Nanobody by CDR Grafting and Site-Directed Mutagenesis Approach.

Mahsa Mirzaei, Shima Mirhoseini, Mohammad Mehdi Heidari, Mehri Khatami

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Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Mahsa MirzaeiDepartment of Biology, Yazd University, Yazd, Iran.ORCID http://orcid.org/0000-0003-0036-0324
Shima MirhoseiniDepartment of Biology, Yazd University, Yazd, Iran.ORCID http://orcid.org/0000-0002-3599-8232
Mohammad Mehdi HeidariDepartment of Biology, Yazd University, Yazd, Iran. heidarimm@yazd.ac.ir.ORCID http://orcid.org/0000-0002-3328-4746
Mehri KhatamiDepartment of Biology, Yazd University, Yazd, Iran.ORCID http://orcid.org/0000-0002-5840-5399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death protein-1 (PD-1) is a membrane protein expressed on the surface of activated T-cells, B-cells, natural killer cells, dendritic cells, macrophages, and monocytes. Inhibition of the PD-1/PD-L1 interaction by monoclonal antibodies (mAbs) has many therapeutic benefits and has led to a major advance in the treatment of various types of tumors. Due to the large size and immunogenicity of the antibodies (Abs), using small molecules such as nanobodies (nanobodies or VHH) is more appropriate for this purpose. In this research, the complementarity determining regions (CDR) grafting method was used to produce anti-PD-1 nanobody. For producing the grafted anti-PD-1 nanobody, CDRs from the tislelizumab mAb were grafted into the frameworks of a nanobody whose sequence is similar to the tislelizumab mAb. Also, the site-directed mutagenesis method was used to produce two mutated anti-PD-1 nanobodies which increased the affinity of grafted anti-PD-1 nanobodies. Two amino acid substitutions (Tyr97Arg and Tyr102Arg) in the VHH-CDR3 were used to improve grafted nanobody affinity and the binding capacity of the mutated nanobodies. The binding of the anti-PD-1 nanobodies and PD-1 antigen (Ag) was confirmed by Dot blot, western blot, and indirect ELISA analysis. According to the results of these in silico and in vitro studies, the binding between grafted and mutated nanobodies with PD-1 was confirmed. Also, our findings show that site-directed mutagenesis can increase the affinity of nanobodies.

Indexed as

Complementarity Determining RegionsProgrammed Cell Death 1 ReceptorSingle-Domain AntibodiesAnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedHumansMutagenesis, Site-DirectedAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedComplementarity Determining RegionsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorSingle-Domain AntibodiesCDR graftingNanobodyPD-1 tumor markerSite-directed mutagenesis

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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.