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Understanding the Reversible Binding of a Multichain Protein-Protein Complex through Free-Energy Calculations.

Hengwei BianXueguang ShaoWensheng CaiHaohao Fu
Published in: The journal of physical chemistry. B (2024)
We demonstrate that the binding affinity of a multichain protein-protein complex, insulin dimer, can be accurately predicted using a streamlined route of standard binding free-energy calculations. We find that chains A and C, which do not interact directly during binding, stabilize the insulin monomer structures and reduce the binding affinity of the two monomers, therefore enabling their reversible association. Notably, we confirm that although classical methods can estimate the binding affinity of the insulin dimer, conventional molecular dynamics, enhanced sampling algorithms, and classical geometrical routes of binding free-energy calculations may not fully capture certain aspects of the role played by the noninteracting chains in the binding dynamics. Therefore, this study not only elucidates the role of noninteracting chains in the reversible binding of the insulin dimer but also offers a methodological guide for investigating the reversible binding of multichain protein-protein complexes utilizing streamlined free-energy calculations.
Keyphrases
  • molecular dynamics
  • protein protein
  • type diabetes
  • density functional theory
  • small molecule
  • dna binding
  • binding protein
  • machine learning
  • mass spectrometry
  • transcription factor
  • capillary electrophoresis