Exploration of transferability in multiscale coarse-grained peptide models.

Area of Science:

• Computational biology
• Biophysics
• Molecular modeling

Background:

• Coarse-grained (CG) models enable efficient simulation of large biological systems.
• Previous multiscale coarse-graining (MS-CG) studies developed peptide-specific force fields.
• Transferability of MS-CG force fields across different peptide structures remains a challenge.

Purpose of the Study:

• To develop a transferable MS-CG force field for simulating diverse peptide conformations.
• To understand the characteristics of CG interactions influencing their transferability.
• To identify strategies for enhancing MS-CG force field transferability.

Main Methods:

• Applied MS-CG modeling to analyze peptide folding landscapes.
• Investigated the transferability of MS-CG force fields across different peptide systems.
• Characterized interactions governing the transferability of CG sites.

Main Results:

• Polar CG groups, particularly backbone CO-NH interactions, exhibit limited transferability.
• MS-CG modeling provides a systematic approach to developing transferable CG interactions.
• Potential exists to enhance transferability by combining information from multiple MS-CG force fields.

Conclusions:

• Achieving high transferability for MS-CG force fields is challenging, especially for polar backbone interactions.
• The MS-CG method offers a viable route toward rigorously defined and partially transferable CG interactions.
• Future work should focus on novel methods for combining MS-CG force fields to improve transferability.