Revisiting the Sweet Taste Receptor T1R2-T1R3 through Molecular Dynamics Simulations Coupled with a Noncovalent Interactions Analysis.

It is nowadays widely accepted that sweet taste perception is elicited by the activation of the heterodimeric complex T1R2-T1R3, customarily known as sweet taste receptor (STR). However, the interplay between STR and sweeteners has not yet been fully clarified. Here through a methodology coupling molecular dynamics and the independent gradient model (igm) approach we determine the main interacting signatures of the closed (active) conformation of the T1R2 Venus flytrap domain (VFD) toward aspartame. The igm methodology provides a rapid and reliable quantification of noncovalent interactions through a score (Δginter) based on the attenuation of the electronic density gradient when two molecular fragments approach each other. Herein, this approach is coupled to a 100 ns molecular dynamics simulation (MD-igm) to explore the ligand-cavity contacts on a per-residue basis as well as a series of key inter-residue interactions that stabilize the closed form of VFD. We also apply an atomic decomposition scheme of noncovalent interactions to quantify the contribution of the ligand segments to the noncovalent interplay. Finally, a series of structural modification on aspartame are conducted in order to obtain guidelines for the rational design of novel sweeteners. Given that innovative methodologies to reliably quantify the extent of ligand-protein coupling are strongly demanded, this approach combining a noncovalent analysis and MD simulations represents a valuable contribution, that can be easily applied to other relevant biomolecular systems.

Ensemble Docking in Drug Discovery: How Many Protein Configurations from Molecular Dynamics Simulations are Needed To Reproduce Known Ligand Binding?

Ensemble docking in drug discovery or chemical biology uses dynamical simulations of target proteins to generate binding site conformations for docking campaigns. We show that 600 ns molecular dynamics simulations of four G-protein-coupled receptors in their membrane environments generate ensembles of protein configurations that, collectively, are selected by 70?99% of the known ligands of these proteins. Therefore, the process of ligand recognition by conformational selection can be reproduced by combining molecular dynamics and docking calculations. Clustering of the molecular dynamics trajectories, however, does not necessarily identify the protein conformations that are most often selected by the ligands.

Thermophilic Enzyme or Mesophilic Enzyme with Enhanced Thermostability: Can We Draw a Line?

Aminoglycoside nucleotidyltransferase 4' (ANT) is a homodimeric enzyme that modifies the C4'-OH site of aminoglycoside antibiotics by nucleotidylation. A few single- and double-residue mutants of this enzyme (T130K, D80Y, and D80Y/T130K) from Bacillus stearothermophilus show increased thermostability. This article investigates how such residue replacements, which are distant from the active site and monomer-monomer interface, result in various changes of the thermostability of the enzyme. In this work, we show that the thermodynamic properties of enzyme-ligand complexes and protein dynamics may be indicators of a thermophilic behavior. Our data suggests that one of the single-site mutants of ANT, D80Y, may be a thermophilic protein and the other thermostable mutant, T130K, is actually a more heat-stable variant of the mesophilic wild type (WT) with a higher Tm. Our data also suggest that T130K and D80Y adopt different global dynamics strategies to achieve different levels of thermostability enhancement and that the differences between the properties of the species can be described in terms of global dynamics rather than in terms of specific structural features. Thermophilicity of the D80Y comes at the cost of less favorable thermodynamic parameters for ligand binding relative to WT. On the other hand, the T130K species exhibits the same affinity to ligands and the same thermodynamic parameters of complex formation as the WT enzyme. These observations suggest that a quantitative characterization of ligand binding and protein dynamics can be used to differentiate thermophilic proteins from their simply more heat-stable mesophilic counterparts.