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Etchebest, C.

Publications and source records attributed to Etchebest, C..

4 recordsLinked to original sources

Impact of the N-glycosylation on full-length IgG2 and IgG4 antibodies: a comparative study using molecular dynamics simulations.

Monoclonal antibodies are among the most important biomolecules in the pharmaceutic field. They could undergo several post-translational modifications, most notably N-glycosylation, yet the effect of these glycans remains poorly understood at the atomistic level, and the few existing studies focus on the prevalent immunoglobulin G1. We compared N-glycosylation in two structurally divergent monoclonal antibodies, Mab231, a murine IgG2a, and pembrolizumab, a human IgG4, which differ in species, sequence, architecture, and in the location and composition of their glycans. Using molecular dynamics simulations, we studied both antibodies with and without their glycans. In both, the glycan interactions extend beyond the Fc to reach Fab residues, more so for the more mobile Fc glycan and differently in the two antibodies. Allosteric network calculations reveal a potential impact of the glycan that can affect the Fab framework regions, which could in turn affect antigen binding. The glycans do not drastically alter the conformational landscape, and neither the inter-domain correlated motions nor the orientation of the Fab arms relative to the Fc can be resolved as glycan effects at three replicates per system. We also find that the effect of the Fc glycans on CH2 opening depends on the geometric criterion used, which underscores the need to consider full-length structures and the diversity of IgG scaffolds in glyco-engineering.

bioinformatics↗

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model ranking

Accurate prediction of antibody-antigen (Ab-Ag) complexation is crucial for understanding immune responses, diagnostics, and the development of therapeutic antibodies. While molecular docking generates conformations, current scoring functions struggle to identify nearnative poses, particularly for Ab-Ag interactions. We present ARID-sf (Antibody-antigen Residue Interface Docking scoring function), which combines classical force field potentials with structural features and protein language model embeddings through a self-attention-based neural network architecture. ARID-sf was trained on >1.5 million docking models and evaluated across four independent test sets comprising 806 cases and 700,000+ docking models. ARID-sf consistently outperforms other functions on increasingly challenging docking scenarios. Critically, ARID-sf maintains performance across diverse sequence identities and increasing conformational change required to reach the bound state, starting with unbound components, demonstrating robust generalization. ARID-sf is parallelizable and can process thousands of docking models per minute, enabling practical application in computational Ab engineering pipelines. The code, trained network, and complete pipeline are freely available at https://github.com/DSIMB/ARID-sf.git.

bioinformatics↗

NS1 from Two Zika Virus Strains Differently Interact with a Membrane: A Plausible Explanation for their Differential Virulence

Zika virus (ZIKV) from Uganda (UG) expresses a phenotype related to fetal loss whereas the variant from Brazil (BR) induces microcephaly in neonates. The differential virulence has a direct relation to biomolecular mechanisms that make one strain more aggressive than the other. The non-structural protein 1 (NS1) is a key viral toxin to comprehend these viral discrepancies because of its versatility in many processes of the virus life cycle. Here, we aim to examine through coarse-grained models and molecular dynamics simulations the protein-membrane interactions for both NS1ZIKV-UG and NS1ZIKV-BR dimers. A first evaluation allowed us to establish that the NS1 proteins, in the membrane presence, explore new conformational spaces when compared to systems simulated without a lipid bilayer. These events derive from both differential coupling patterns and discrepant binding affinities to the membrane. The N-terminal domain, intertwined loop, and greasy finger proposed previously as binding membrane regions were also computationally confirmed by us. The anchoring sites have aromatic and ionizable residues that manage the assembly of NS1 toward the membrane, especially for the Ugandan variant. Furthermore, the protein-membrane interaction induces perturbation in the distal part related to putative epitopes. These results open up new strategies for the treatment of flaviviruses. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/487413v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@11023e9org.highwire.dtl.DTLVardef@a5d417org.highwire.dtl.DTLVardef@1073b91org.highwire.dtl.DTLVardef@1d7cffe_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Self-association features of NS1 proteins from different flaviviruses

Flaviviruses comprise a large group of arboviral species that are distributed in several countries of the tropics, neotropics, and some temperate zones. Since they can produce neurological pathologies or vascular damage, there has been intense research seeking better diagnosis and treatments for their infections in the last decades. The flavivirus NS1 protein is a relevant clinical target because it is involved in viral replication, immune evasion, and virulence. Being a key factor in endothelial and tissue-specific modulation, NS1 has been largely studied to understand the molecular mechanisms exploited by the virus to reprogram host cells. A central part of the viral maturation processes is the NS1 oligomerization because many stages rely on these protein-protein assemblies. In the present study, the self-associations of NS1 proteins from Zika, Dengue, and West Nile viruses are examined through constant-pH coarse-grained biophysical simulations. Free energies of interactions were estimated for different oligomeric states and pH conditions. Our results show that these proteins can form both dimers and tetramers under conditions near physiological pH even without the presence of lipids. Moreover, pH plays an important role mainly controlling the regimes where van der Waals interactions govern their association. Finally, despite the similarity at the sequence level, we found that each flavivirus has a well-characteristic protein-protein interaction profile. These specific features can provide new hints for the development of binders both for better diagnostic tools and the formulation of new therapeutic drugs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/484429v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1221d69org.highwire.dtl.DTLVardef@b90429org.highwire.dtl.DTLVardef@c039c3org.highwire.dtl.DTLVardef@1039cc_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗