AMBER Force Field Parameters for Cobalt-Containing Biological Systems: A Systematic Derivation Study.

Area of Science:

• Computational Chemistry
• Biochemistry
• Structural Biology

Background:

• Cobalt is crucial in metalloproteins, but accurate computational models are lacking.
• Developing reliable force fields for metal ions is essential for molecular simulations.

Purpose of the Study:

• To parameterize a comprehensive library of bonding parameters for biological cobalt systems.
• To establish a standard process for creating force field parameters for other metal-containing biological systems.

Main Methods:

• Extracted common cobalt-binding chemical groups from protein data banks.
• Designed 16 representative structures for cobalt-moiety binding models.
• Computed Hessian matrices and applied the Seminario method for parameter derivation.
• Validated parameters using structural minimization and molecular dynamics (MD) simulations, including carbonic anhydrase II.

Main Results:

• The bonded model with RESP charges yielded the most accurate structural conformations for cobalt's metal site.
• The developed parameterization process is applicable to other metal-containing systems.
• Validated force field parameters improve the reliability of simulating cobalt-containing metalloproteins.

Conclusions:

• A robust method for parameterizing biological metal-containing systems was established.
• The generated cobalt bonding parameters enhance the accuracy of molecular dynamics simulations.
• This work provides a valuable resource for studying cobalt's role in biological systems.