GōMartini 3: From large conformational changes in proteins to environmental bias corrections

Area of Science:

• Computational Biology
• Biophysics
• Molecular Dynamics

Background:

• Coarse-grained (CG) modeling is crucial for simulating biological systems at larger scales than all-atom methods.
• The GōMartini model integrates structure-based and physics-based CG approaches for efficient protein dynamics.
• Martini 3 is a widely used CG force field for biomolecular simulations.

Purpose of the Study:

• To introduce an enhanced GōMartini model by combining a virtual-site Gō model implementation with Martini 3.
• To demonstrate the model's capabilities across various biological applications.
• To address recent limitations reported for the Martini protein model.

Main Methods:

• Development of an enhanced GōMartini model integrating virtual-site Gō potentials with Martini 3.
• Extensive community testing of the reparametrized Martini model.
• Application of the model to diverse case studies including protein-membrane interactions and ligand binding.

Main Results:

• The enhanced GōMartini model demonstrates versatility in simulating protein dynamics.
• Successful application in diverse case studies: protein-membrane binding, protein-ligand interactions, and AFM force profile calculations.
• The model shows potential in addressing known inaccuracies in the Martini protein model.

Conclusions:

• The enhanced GōMartini model offers a powerful and efficient tool for studying protein dynamics across various biological contexts.
• The model's versatility makes it suitable for a wide range of applications, from membrane interactions to ligand binding.
• Further development and application of this combined approach hold promise for advancing molecular simulations.