Design of an Fc Mutation to Abrogate Fcγ Receptor Binding Based on Residue Interaction Network Analysis

Immunoglobulins mediate their immune responses through interactions with Fc γ-receptors (FcγRs) on immune cells, triggering crucial responses such as antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). While enhancing these interactions can be beneficial, in certain therapeutic scenarios, such as cytokine or receptor blockade therapies, it is critical to reduce FcγR binding to avoid adverse immune reactions. This study aims to design negative mutations in the Fc region to reduce Fcγ receptor binding based on the residue interaction network analysis. The mutation sites of Fc were targeted through betweenness centrality analysis, and mutations were designed by focusing on hydrophobic to hydrophilic residue changes. The negative effect of the designed mutants on binding affinity was verified by previous reports and binding experiments. From this study, we identified a new Fc variant candidate (V263(B)D) that lacks a binding affinity for Fcγ receptors. This research highlights a strategic approach for designing Fc mutations that effectively reduce immune activation, which may be valuable in therapeutic contexts, where immune response moderation is crucial.

Authors

Institutions

Publication Details

Journal
ACS Synthetic Biology
Published
2025-04-29
DOI
https://doi.org/10.1021/acssynbio.5c00035
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
1.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of an Fc Mutation to Abrogate Fcγ Receptor Binding Based on Residue Interaction Network Analysis

Sang Taek Jung, Sangwook Wu, Suhyun Park, Petrina Jebamani et al.
1 citations
ACS Synthetic Biology
Monoclonal and Polyclonal Antibodies Research
1.36
article

Design of an Fc Mutation to Abrogate Fcγ Receptor Binding Based on Residue Interaction Network Analysis

Sang Taek Jung, Sangwook Wu, Suhyun Park, Petrina Jebamani, Sun‐Gu Lee, Migyeong Jo, Suyeon Kim
article en
1 citations

Abstract

Immunoglobulins mediate their immune responses through interactions with Fc γ-receptors (FcγRs) on immune cells, triggering crucial responses such as antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). While enhancing these interactions can be beneficial, in certain therapeutic scenarios, such as cytokine or receptor blockade therapies, it is critical to reduce FcγR binding to avoid adverse immune reactions. This study aims to design negative mutations in the Fc region to reduce Fcγ receptor binding based on the residue interaction network analysis. The mutation sites of Fc were targeted through betweenness centrality analysis, and mutations were designed by focusing on hydrophobic to hydrophilic residue changes. The negative effect of the designed mutants on binding affinity was verified by previous reports and binding experiments. From this study, we identified a new Fc variant candidate (V263(B)D) that lacks a binding affinity for Fcγ receptors. This research highlights a strategic approach for designing Fc mutations that effectively reduce immune activation, which may be valuable in therapeutic contexts, where immune response moderation is crucial.

ACS Synthetic BiologyVol. 14(5)
Seoul National University (KR), Korea University (KR), Bioengineering Center (RU), Pusan National University (KR), Pukyong National University (KR)
National Research Foundation of Korea
Zero hunger
Openalex Percentile: Top 21%
Monoclonal and Polyclonal Antibodies Research
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.