CellSys: An open-source tool for building initial structures for bio-membranes and drug-delivery systems.

Area of Science:

• Biochemistry
• Computational Biology
• Pharmacology

Background:

• Phospholipids are crucial structural components of biomembranes, necessitating detailed study in experimental and computational research.
• Understanding phospholipid interactions with drug molecules is vital for drug design and drug delivery systems.
• Molecular simulation methods require accurate initial structures and interaction data for phospholipids.

Purpose of the Study:

• To introduce an open-source Python software package for data manipulation.
• To facilitate the generation and development of biomolecular cell structures for drug delivery research.
• To enable efficient storage of membrane structural data for designing novel drug delivery systems.

Main Methods:

• Development of an open-source software package using Python programming language.
• Utilizing data manipulation for generating and developing initial biomolecular cell structures.
• Performing molecular simulations and analyses, including area per lipid, self-diffusion coefficient, and lipid order parameter calculations.

Main Results:

• The software package successfully generates and manipulates phospholipid structures for biomolecular simulations.
• Simulations provided essential data on drug-membrane interactions, crucial for drug delivery research.
• Calculated parameters (area per lipid, diffusion coefficient, order parameter) aligned with established reference values, validating the software's performance.

Conclusions:

• The developed Python software package is a valuable tool for researchers in drug delivery and computational biophysics.
• It provides essential structural data and facilitates molecular simulations of drug-membrane interactions.
• The software supports the efficient design and development of new drug delivery systems through accurate data handling and simulation capabilities.