mAbs (Oct 2019)

Binding symmetry and surface flexibility mediate antibody self-association

  • Joseph D. Schrag,
  • Marie-Ève Picard,
  • Francis Gaudreault,
  • Louis-Patrick Gagnon,
  • Jason Baardsnes,
  • Mahder S. Manenda,
  • Joey Sheff,
  • Christophe Deprez,
  • Cassio Baptista,
  • Hervé Hogues,
  • John F. Kelly,
  • Enrico O. Purisima,
  • Rong Shi,
  • Traian Sulea

DOI
https://doi.org/10.1080/19420862.2019.1632114
Journal volume & issue
Vol. 11, no. 7
pp. 1300 – 1318

Abstract

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Solution stability is an important factor in the optimization of engineered biotherapeutic candidates such as monoclonal antibodies because of its possible effects on manufacturability, pharmacology, efficacy and safety. A detailed atomic understanding of the mechanisms governing self-association of natively folded protein monomers is required to devise predictive tools to guide screening and re-engineering along the drug development pipeline. We investigated pairs of affinity-matured full-size antibodies and observed drastically different propensities to aggregate from variants differing by a single amino-acid. Biophysical testing showed that antigen-binding fragments (Fabs) from the aggregating antibodies also reversibly associated with equilibrium dissociation constants in the low-micromolar range. Crystal structures (PDB accession codes 6MXR, 6MXS, 6MY4, 6MY5) and bottom-up hydrogen-exchange mass spectrometry revealed that Fab self-association occurs in a symmetric mode that involves the antigen complementarity-determining regions. Subtle local conformational changes incurred upon point mutation of monomeric variants foster formation of complementary polar interactions and hydrophobic contacts to generate a dimeric Fab interface. Testing of popular in silico tools generally indicated low reliabilities for predicting the aggregation propensities observed. A structure-aggregation data set is provided here in order to stimulate further improvements of in silico tools for prediction of native aggregation. Incorporation of intermolecular docking, conformational flexibility, and short-range packing interactions may all be necessary features of the ideal algorithm.

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