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Related Experiment Videos

Asparagine deamidation: pH-dependent mechanism from density functional theory.

Baron Peters1, Bernhardt L Trout

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.

Biochemistry
|April 19, 2006
PubMed
Summary

Asparagine deamidation, crucial in cancer therapy and antibody stability, was computationally studied. Understanding its pH-dependent reaction pathways can improve drug efficacy and protein formulations.

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Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Protein Chemistry

Background:

  • Asparagine deamidation is critical in chemotherapy-induced apoptosis.
  • It poses a significant challenge in the formulation of monoclonal antibodies.
  • The elementary reactions underlying asparagine deamidation remain poorly understood.

Purpose of the Study:

  • To elucidate the fundamental reaction mechanisms of asparagine deamidation.
  • To investigate the pH-dependent kinetics of asparagine deamidation.
  • To provide insights for improving protein formulations and understanding therapeutic outcomes.

Main Methods:

  • Utilized B3LYP/6-31+G(d,p)/COSMO-RS calculations to identify stable structures and transition states.
  • Developed a kinetic model incorporating calculated rate constants to analyze pH dependence.

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  • Compared the computational kinetic model with a pseudo-steady-state model.
  • Main Results:

    • At low pH, direct acid-catalyzed hydrolysis to aspartate was identified as the primary deamidation pathway.
    • At neutral to basic pH, deamidation proceeds via a tetrahedral intermediate.
    • Two distinct pathways and three rate-determining steps for intermediate conversion were revealed, varying with pH.

    Conclusions:

    • The computational model qualitatively replicates the experimentally observed pH-dependent rate constant for asparagine deamidation.
    • Identified rate-determining transition state structures offer mechanistic understanding.
    • Findings can aid in optimizing protein formulations and understanding chemotherapy-induced apoptosis.