Rotational Profiler: A Fast, Automated, and Interactive Server to Derive Torsional Dihedral Potentials for Classical...

Area of Science:

• Computational chemistry
• Molecular dynamics simulations
• Biomolecular modeling

Background:

• Accurate torsional dihedral parameters are crucial for molecular dynamics (MD) simulations.
• Existing methods for parameterization can be computationally expensive or limited in scope.
• Classical force fields require precise torsional parameters for reliable simulation results.

Purpose of the Study:

• To introduce Rotational Profiler, an analytical algorithm for computing torsional dihedral parameters.
• To provide a method compatible with widely used biomolecular force fields.
• To offer a free, independent, and accessible tool for parameterization.

Main Methods:

• Fitting empirical energy profiles to reference data (experimental or quantum-mechanical).
• Utilizing linear least-squares regression for optimal parameter generation.
• Developing an analytical algorithm for efficient computation.

Main Results:

• The algorithm successfully computes classical torsional dihedral parameters.
• Generated parameters are compatible with GROMOS, AMBER, OPLS, and CHARMM force fields.
• The method provides accurate fitting to reference energy profiles.

Conclusions:

• Rotational Profiler offers an efficient and accurate approach to torsional parameterization.
• The tool enhances the reliability of biomolecular simulations.
• It is available as a free, web-based resource for the scientific community.