Molecular Dynamics Simulations to Explore the Structure and Rheological Properties of Normal and Hyperconcentrated Airway Mucus.
Andrew G FordXue-Zheng CaoMicah J PapanikolasTakafumi KatoRichard C BoucherMatthew R MarkovetzDavid B HillRonit FreemanM Gregory ForestPublished in: Studies in applied mathematics (Cambridge, Mass.) (2021)
We develop the first molecular dynamics model of airway mucus based on the detailed physical properties and chemical structure of the predominant gel-forming mucin MUC5B. Our airway mucus model leverages the LAMMPS open-source code [https://lammps.sandia.gov], based on the statistical physics of polymers, from single molecules to networks. On top of the LAMMPS platform, the chemical structure of MUC5B is used to superimpose proximity-based, non-covalent, transient interactions within and between the specific domains of MUC5B polymers. We explore feasible ranges of hydrophobic and electrostatic interaction strengths between MUC5B domains with 9 nanometer spatial and 1 nanosecond temporal resolution. Our goal here is to propose and test a mechanistic hypothesis for a striking clinical observation with respect to airway mucus: a 10-fold increase in non-swellable, dense structures called flakes during progression of cystic fibrosis disease. Among the myriad possible effects that might promote self-organization of MUC5B networks into flake structures, we hypothesize and confirm that the clinically confirmed increase in mucin concentration, from 1.5 to 5 mg/mL, alone is sufficient to drive the structure changes observed with scanning electron microscopy images from experimental samples. We post-process the LAMMPS simulated datasets at 1.5 and 5 mg/mL, both to image the structure transition and compare with scanning electron micrographs and to show that the 3.33-fold increase in concentration induces closer proximity of interacting electrostatic and hydrophobic domains, thereby amplifying the proximity-based strength of the interactions.
Keyphrases
- electron microscopy
- molecular dynamics simulations
- molecular dynamics
- cystic fibrosis
- high resolution
- deep learning
- physical activity
- ionic liquid
- density functional theory
- mental health
- molecular docking
- pseudomonas aeruginosa
- high throughput
- brain injury
- chronic obstructive pulmonary disease
- optical coherence tomography
- single cell
- air pollution
- protein kinase