Evidence map›Paper›PMID 42427754›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular Basis of Core Fucosylation-Dependent Modulation of IgG1 Fc-CD16a Binding.

Natesan Mani, Alla Polozova, Srirupa Chakraborty

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

3 authors.

Natesan ManiDepartment of Chemical Engineering, Northeastern University, Boston, MA 02115.
Alla PolozovaPivotal Attribute Sciences, Process Development, Amgen, Cambridge, MA 02141.
Srirupa ChakrabortyDepartment of Chemical Engineering, Northeastern University, Boston, MA 02115.ORCID 0000-0002-7155-2764

Funding

Modeling the mucosal glycopeptide mesh for improved disease understanding and mucin-inspired biomaterial designR35GM151231 · NIGMS · NORTHEASTERN UNIVERSITY · PI Srirupa Chakraborty · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM151231
6 · The paper itself

Abstract

Core fucosylation of the IgG1 Fc N297 glycan is known to reduce binding affinity to the FcγRIIIa (CD16a) receptor and attenuate antibody-dependent cellular cytotoxicity (ADCC), yet the structural mechanisms underlying this effect remain incompletely understood. Here, we use extensive all-atom molecular dynamics simulations to systematically investigate how Fc glycosylation modulates the structural, energetic, and dynamical landscape of the IgG1 Fc-CD16a complex across multiple systems with fucosylation and galactosylation. Relative binding free energy calculations reproduce experimentally established trends, showing that afucosylation consistently strengthens Fc-CD16a interactions. Mechanistically, dual fucosylation (on both Fc arms) increases inter-glycan packing between the Fc N297 glycans, restricts Fc glycan conformational sampling, and destabilizes the conformational organization of the CD16a N162 glycan. These glycan-mediated perturbations propagate to the protein interface. The result is reduced Fc-CD16a contact persistence, redistribution of energetically important residues away from the canonical binding interface, and broader, less stable receptor-bound conformational states. Dynamic cross-correlation analysis further reveals that afucosylated systems maintain substantially stronger coordinated motions across the Fc-CD16a assembly, whereas fucosylation disrupts long-range dynamic coupling between the receptor and antibody domains. Across these different energetic, structural, conformational, and dynamical readouts, fucosylation systematically shifts the Fc-CD16a assembly from a compact, interface-stabilized binding mode toward a more heterogeneous and weakly coupled receptor-bound ensemble. Together, our findings set forth a mechanistic basis for Fc glycosylation regulating receptor engagement through ensemble-level conformational and dynamical reorganization rather than simple local steric effects. These results provide mechanistic design principles for rational Fc glycoengineering and the development of therapeutic antibodies with enhanced effector functions. More broadly, this work highlights how glycan composition can be leveraged as a tunable molecular design parameter for engineering protein recognition, conformational stability, and immune effector function in therapeutic glycoproteins.

Indexed as

Core fucosylationFcγRIIIa/CD16a recognitionGlycan-mediated conformational dynamicsIgG1 Fc glycoengineeringMolecular dynamics simulations

Identifiers

PMID42427754
PMCPMC13345302

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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.