Abstract

Le Châtelier’s principle is the cornerstone of our understanding of chemical equilibria. When a system at equilibrium undergoes a change in concentration or thermodynamic state (i.e., temperature, pressure, etc.), La Châtelier’s principle states that an equilibrium shift will occur to offset the perturbation and a new equilibrium is established. We demonstrate that the effects of stabilizing mutations on the rigidity ⇔ flexibility equilibrium within the native state ensemble manifest themselves through enthalpy-entropy compensation as the protein structure adjusts to restore the global balance between the two. Specifically, we characterize the effects of mutation to single chain fragments of the anti-lymphotoxin-β receptor antibody using a computational Distance Constraint Model. Statistically significant changes in the distribution of both rigidity and flexibility within the molecular structure is typically observed, where the local perturbations often lead to distal shifts in flexibility and rigidity profiles. Nevertheless, the net gain or loss in flexibility of individual mutants can be skewed. Despite all mutants being exclusively stabilizing in this dataset, increased flexibility is slightly more common than increased rigidity. Mechanistically the redistribution of flexibility is largely controlled by changes in the H-bond network. For example, a stabilizing mutation can induce an increase in rigidity locally due to the formation of new H-bonds, and simultaneously break H-bonds elsewhere leading to increased flexibility distant from the mutation site via Le Châtelier. Increased flexibility within the VH β4/β5 loop is a noteworthy illustration of this long-range effect.

Highlights

  • The relationship between protein stability and dynamics is complex

  • We apply the Distance Constraint Model (DCM) to 10 representative structures generated by molecular dynamics

  • We are obtaining good accuracy from the DCM despite its mean field description of solvation effects, where molecular details of solvation are combined into two parameters

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Summary

Introduction

The relationship between protein stability and dynamics is complex. Protein structures are highly cross-linked with nearly optimized H-bond networks [1], yet they are decidedly dynamic [2]. This dichotomy makes it very difficult to predict the effects of individual mutations on protein thermodynamics and dynamics [3,4,5,6]. The effects of mutations on protein dynamics can propagate through the molecular network, leading to unexpected long-range changes [10,11,12,13,14]. Other changes that affect protein stability can reveal the complex relationships between rigidity and thermodynamics. Reduced pH destabilizes the serine protease inhibitor eglin c, but makes the structure more compact [15], underscoring that rigidity and stability do not always correlate in a naıve way

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