Making Soup

Making Soup generates atomistic models and molecular dynamics simulations of the Escherichia coli cytoplasm to study macromolecular behavior in crowded cellular environments.

Key Features:

• Atomistic Modeling: Constructs an all-atom model of E. coli cytoplasm comprising approximately 1.5 million atoms in explicit solvent.
• Molecular Dynamics Simulations: Performs long-duration molecular dynamics simulations totaling up to 3 microseconds (μs) to capture dynamic behavior under crowding.
• Python Scripting: Includes a Python script and associated files to replicate or modify the E. coli cytoplasm model and simulation setups.
• Validation Against Experimental Data: Compares simulation outputs to experimental metrics, notably diffusion coefficients and stability measurements, to validate model accuracy.

Scientific Applications:

• Study of Biomolecular Crowding: Enables investigation of how cellular crowding alters biophysical and biochemical properties of macromolecules in E. coli.
• Structural Dynamics Analysis: Facilitates analysis of conformational changes and intermolecular interactions that arise under crowded cytoplasmic conditions.
• Model Adaptation for Comparative Studies: Supports adaptation of atomistic cytoplasm models to explore crowding effects across different molecular components or organisms.

Methodology:

Uses GROMACS to build an all-atom explicit solvent model of the E. coli cytoplasm, conduct long-duration molecular dynamics simulations (up to 3 μs), and compare simulation results with experimental diffusion coefficients and stability metrics.