Creating Coarse-Grained Systems with COBY: Toward Higher Accuracy of Complex Biological Systems.

Area of Science:

• Computational Biology
• Biophysics
• Molecular Modeling

Background:

• Molecular modeling increasingly requires realistic simulations of large, complex biological systems.
• Current system-building software often uses simplifications leading to inaccuracies in simulated properties.
• Accurate construction of biological systems, including membranes and solvents, is crucial for reliable molecular modeling.

Purpose of the Study:

• To develop a novel coarse-grained system builder, COBY, for enhanced accuracy and ease of use in molecular modeling.
• To address limitations in current system-building algorithms by improving the accuracy of complex membrane and solvent construction.
• To provide a versatile tool for building diverse biological systems in a single step and aiding force field development.

Main Methods:

• Developed COBY, an open-source software using Python 3 for coarse-grained system building.
• Implemented algorithms to convert user-provided descriptors into system coordinates with improved accuracy.
• Integrated features for building diverse systems in a single command call and supporting force field development.

Main Results:

• COBY enables the creation of a wide variety of complex biological systems with a single command.
• Demonstrated improved accuracy in building complex membrane and solvent environments compared to existing methods.
• Provided functionalities that facilitate force field development and streamline the system-building process.

Conclusions:

• COBY offers a significant advancement in coarse-grained system building for molecular modeling.
• The software enhances the accuracy and efficiency of simulating complex biological systems, particularly membranes and solvents.
• COBY is an accessible, open-source tool that supports researchers in computational biology and biophysics.