Identification of engineered IMGT Fc variants in IMGT/mAb-DB, a database of therapeutic antibodies and fusion proteins

Monoclonal antibodies (mAbs) and fusion proteins for immune applications (FPIA) play a crucial role in treating autoimmune diseases and cancers by targeting cell-surface proteins and triggering multiple immune mechanisms. These functions are mediated by the crystallizable fragment (Fc) region of mAbs and fusion proteins, whose interaction with Fc gamma receptors (FcγRs) can be modulated through Fc amino acid (AA) engineering. To aid research in this area, we developed the <i>IMGT/FcVariantsExplorer</i> tool (https://www.imgt.org/fcvariantsexplorer/) to identify engineered AA changes or variants within the Fc region in mAb and fusion proteins sequences from IMGT/2Dstructure-DB, the AA sequence database of IMGT®, the international ImMunoGeneTics information system®. We used the IMGT® nomenclature of engineered Fc variants involved in antibody effector properties and formats, applying a standardized classification in five categories: 'Effector,' 'Half-life,' 'Physicochemical properties,' 'Structure,' and 'Hybrid.' We analyzed sequences from 1,107 mAbs and fusion proteins, identifying 483 entries with Fc AA changes, resulting in 211 unique Fc variants in the dataset. We also used web scraping to retrieve associated biological data from literature. All data have been integrated into IMGT/mAb-DB, with links to sequences in IMGT/2Dstructure-DB, enabling users to query Fc variants by their 'Category' or 'Effect.' This curated dataset reveals key trends in antibody engineering.

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Publication Details

Journal
mAbs
Published
2025-11-27
DOI
https://doi.org/10.1080/19420862.2025.2594260
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
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article

Identification of engineered IMGT Fc variants in IMGT/mAb-DB, a database of therapeutic antibodies and fusion proteins

Véronique Giudicelli, Taciana Manso, Patrice Duroux, François Boutin et al.
mAbs
Monoclonal and Polyclonal Antibodies Research
article

Identification of engineered IMGT Fc variants in IMGT/mAb-DB, a database of therapeutic antibodies and fusion proteins

Véronique Giudicelli, Taciana Manso, Patrice Duroux, François Boutin, Gaoussou Sanou, Marie‐Paule Lefranc, Sofia Kossida, Christos Nousias, Imene Maalem
article en

Abstract

Monoclonal antibodies (mAbs) and fusion proteins for immune applications (FPIA) play a crucial role in treating autoimmune diseases and cancers by targeting cell-surface proteins and triggering multiple immune mechanisms. These functions are mediated by the crystallizable fragment (Fc) region of mAbs and fusion proteins, whose interaction with Fc gamma receptors (FcγRs) can be modulated through Fc amino acid (AA) engineering. To aid research in this area, we developed the <i>IMGT/FcVariantsExplorer</i> tool (https://www.imgt.org/fcvariantsexplorer/) to identify engineered AA changes or variants within the Fc region in mAb and fusion proteins sequences from IMGT/2Dstructure-DB, the AA sequence database of IMGT®, the international ImMunoGeneTics information system®. We used the IMGT® nomenclature of engineered Fc variants involved in antibody effector properties and formats, applying a standardized classification in five categories: 'Effector,' 'Half-life,' 'Physicochemical properties,' 'Structure,' and 'Hybrid.' We analyzed sequences from 1,107 mAbs and fusion proteins, identifying 483 entries with Fc AA changes, resulting in 211 unique Fc variants in the dataset. We also used web scraping to retrieve associated biological data from literature. All data have been integrated into IMGT/mAb-DB, with links to sequences in IMGT/2Dstructure-DB, enabling users to query Fc variants by their 'Category' or 'Effect.' This curated dataset reveals key trends in antibody engineering.

mAbsVol. 17(1)
Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Université de Montpellier (FR), Montpellier GenomiX (FR)
Openalex Percentile: Top 48%
Monoclonal and Polyclonal Antibodies Research
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