Multiscale Computational Protocols for Accurate Residue Interactions at Flexible Protein–Protein Interfaces

26 December 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The quantitative characterization of residue contributions to protein-protein binding across extensive flexible interfaces poses a significant challenge for biophysical computations. This is attributable to the imperfections inherent in the experimental structures themselves, as well as to the lack of reliable computational tools for the evaluation of all types of non-covalent interactions. This study leverages recent advancements in semiempirical quantum-mechanical and implicit solvent approaches embodied in the PM6-D3H4S/COSMO2 method for the development of a hierarchical computational protocols encompassing molecular dynamics, fragmentation, and virtual glycine scan techniques for the investigation of flexible protein-protein interactions. As a model, the binding of insulin to its receptor is selected, a complex and dynamic process that has been extensively studied experimentally. The interaction energies calculated at this level in ten molecular dynamics snapshots did not correlate with molecular mechanics/generalized Born interaction energies because only the former method is able to describe non-additive effects. This became evident in the examination of the energetics in small-model dimers featuring all the present types of non-covalent interactions with respect to DFT-D3 calculations. The virtual glycine scan has identified 16 hotspot residues on insulin and 15 on the insulin receptor, and their contributions have been quantified using PM6-D3H4S/COSMO2. The accuracy and credibility of the approach are further supported by the fact that all the insulin hotspots have previously been confirmed by biochemical and structural evidence. The modular nature of the protocol has enabled the formulation of several variants, each tailored to specific accuracy and efficiency requirements. The developed computational strategy is firmly rooted in general biophysical chemistry and is thus offered as a general tool for the quantification of interactions across relevant flexible protein-protein interfaces.

Keywords

Protein–protein interface
semiempirical quantum chemistry
virtual glycine scan
molecular dynamics
fragmentation

Supplementary materials

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