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Computationally Designed Bispecific Antibodies using Negative State Repertoires.

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Designing specific protein interactions is challenging due to negative states. This study introduces an iterative method combining sequence design and protein docking to create novel heterodimeric CH3 interfaces for antibody engineering.

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Area of Science:

  • Protein engineering
  • Computational biology
  • Immunology

Background:

  • Structure-based design of protein specificity requires modeling undesired interactions (negative states).
  • Conformational flexibility can complicate predictions of mutation effects on negative states.

Purpose of the Study:

  • To develop an iterative computational strategy for designing specific protein interfaces.
  • To engineer heterodimeric CH3 interfaces in antibody Fc regions for improved specificity.

Main Methods:

  • An iterative approach combining sequence design and protein docking was employed.
  • This method builds an ensemble of alternative negative state conformations.
  • The technique was applied to design CH3 interfaces in the Fc region of antibodies.

Main Results:

  • The developed method successfully designed unique heterodimeric CH3 interfaces.
  • Heterodimer purities exceeding 90% were achieved.
  • Asymmetric Fc crystallization confirmed the designed interface structures.
  • This enabled the one-step synthesis of four fully IgG-bispecific antibodies.

Conclusions:

  • The iterative design strategy effectively models and overcomes challenges associated with negative states in protein engineering.
  • This approach facilitates the creation of highly specific protein interfaces, demonstrated by the successful engineering of bispecific antibodies.