Interaction of ions with biomolecules enable many physiological processes. In most cases, ions interact directly with biomolecules and after shedding, at least partially, their inner-shell waters. Consequently, mechanistic insights require a precise knowledge of how the energetics/structures/dynamics of ion-binding differ between hydrated and biomolecule-bound states. While ?rst principles quantum mechanical models can yield reliable estimates for relative binding energies, estimates for thermodynamics and ion-binding response are subject to limitations from conformational sampling and system size. In contrast, non-polarizable models can technically get past sampling/system-size issues, but they suffer severely from accuracy. Polarizable models do offer a long term sustainable compromise, but there is now clear evidence that errors in such models are far from the desired < 1 kcal/mol target. Nevertheless, a series of recent studies provide encouraging results that can be used to build upon the foundational work and enhance reliability signi?cantly. While the errors in all popular polarizable models are large, they are, at least for the cases examined, systematic. Furthermore, there are at least two short-ranged electronic effects that are not included in polarizable models, and whose contributions are substantial and correlated with transferability errors: (i) redistribution of charge between the ion and its coordinating ligands, which is synonymous with charge-penetration, but accounts for variations in the chemistry of the ligand as a whole rather than its ion-coordinating functional group; (ii) distance-dependent variation in ligand C6 dispersion coef?cients. This study will essentially tests the hypothesis that the transferability issue can be resolved by introducing these two short-ranged electronic effects in polarizable models, and in a manner that does not require a re-tuning of existing parameters. Achieving these goals and incorporating these effects into polarizable models of amino acids, nucleic acids and lipids will require determination of their speci?c contributions, which will be accomplished through a hierarchy of ?rst principles quantum mechanical approaches including CCSD(T), SAPT, DMC and DFT+vdW (Aim 1). This study will also reveal the roles of other electronic effects. Additionally, it will require implementation and validation of a general approach to incorporate these effects in polarizable models (Aim 2). The systematic quantum study will generate high-level reference data and improve understanding of ion-ligand interactions. The new approach will impact the nature of molecular mechanics models for a broad spectrum of chemical functionalities other than ions, including nucleotides, charged lipids and charged amino acids. Models capable of capturing local response properties will also ?nd use in enhanced sampling approaches where transferability is essential for a more faithful representation. This work will produce new versions of two widely used simulations packages and validated versions of two polarizable models for ef?cient and accurate simulations of biological ionic interactions.

Public Health Relevance

Ions are vital to all organisms as they participate in numerous physiological tasks, including cellular uptake of molecules, cell volume homeostasis, nerve conduction, muscle contraction and signaling. Molecular simulations constitute a major tool to understand such ion-driven processes, however, their applicability is currently limited to model systems. This study will resolve several pressing concerns, expanding their applicability signi?cantly and accelerating biomedical research in several ?elds.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM118697-03
Application #
9552886
Study Section
Macromolecular Structure and Function D Study Section (MSFD)
Program Officer
Lyster, Peter
Project Start
2016-09-26
Project End
2020-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of South Florida
Department
Microbiology/Immun/Virology
Type
Schools of Arts and Sciences
DUNS #
069687242
City
Tampa
State
FL
Country
United States
Zip Code
33612