Léxane Fournier, Stefan Becker, Stefan Zielonka, Enrico Guarnera
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引用次数: 0
Abstract
Allosteric regulation provides a powerful framework for modulating receptor signaling in both physiological and therapeutic contexts. The epidermal growth factor receptor (EGFR), a receptor tyrosine kinase frequently dysregulated in cancer, undergoes activation through conformational transitions that couple extracellular ligand binding to intracellular kinase signaling. Here, we explore how camelid derived VHH (variable domain of the heavy chain of a heavy chain-only)-antibodies can exploit this allosteric architecture to inhibit EGFR function. Using a panel of single domain monospecific and biparatopic antibodies, targeting non-overlapping EGFR epitopes, we combined experimental assays with structure-based modeling to dissect their effects on EGFR signaling and internalization. AlphaFold3-predicted EGFR-antibody complexes were analyzed using the Structure-Based Statistical Mechanical Model of Allostery (SBSMMA) to compute residue-level allosteric modulations induced upon binding. The resulting profiles revealed that only a subset of epitope combinations produced long-range allosteric responses reaching the juxtamembrane segment and the kinase domain. These patterns correlated with effective inhibition of downstream ERK and AKT signaling in cellular assays. In contrast, some constructs with high internalization capacity induced minimal allosteric propagation and weak signaling suppression, indicating a mechanistic decoupling of receptor uptake from conformational regulation. Together, these results define distinct allosteric modes of EGFR modulation by VHH-antibodies and show how computational modeling based on energetic propagation can complement experimental screening to guide the design of next-generation allosteric biologics.
期刊介绍:
Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions.
Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.