Ion Transport and Inhibitor Binding by Human NHE1: Insights from Molecular Dynamics Simulations and Free Energy Calculations.
Nehad S El SalamouniBenjamin J BuckleyRichmond LeeMarie RansonMichael J KelsoHai-Bo YuPublished in: The journal of physical chemistry. B (2024)
The human Na + /H + exchanger (NHE1) plays a crucial role in maintaining intracellular pH by regulating the electroneutral exchange of a single intracellular H + for one extracellular Na + across the plasma membrane. Understanding the molecular mechanisms governing ion transport and the binding of inhibitors is of importance in the development of anticancer therapeutics targeting NHE1. In this context, we performed molecular dynamics (MD) simulations based on the recent cryo-electron microscopy (cryo-EM) structures of outward- and inward-facing conformations of NHE1. These simulations allowed us to explore the dynamics of the protein, examine the ion-translocation pore, and confirm that Asp267 is the ion-binding residue. Our free energy calculations did not show a significant difference between Na + and K + binding at the ion-binding site. Consequently, Na + over K + selectivity cannot be solely explained by differences in ion binding. Our MD simulations involving NHE1 inhibitors (cariporide and amiloride analogues) maintained stable interactions with Asp267 and Glu346. Our study highlights the importance of the salt bridge between the positively charged acylguanidine moiety and Asp267, which appears to play a role in the competitive inhibitory mechanism for this class of inhibitors. Our computational study provides a detailed mechanistic interpretation of experimental data and serves the basis of future structure-based inhibitor design.
Keyphrases
- molecular dynamics
- density functional theory
- molecular dynamics simulations
- endothelial cells
- electron microscopy
- binding protein
- dna binding
- molecular docking
- high resolution
- monte carlo
- small molecule
- induced pluripotent stem cells
- machine learning
- electronic health record
- current status
- big data
- drug delivery
- artificial intelligence
- data analysis