Computational modelling of oxygenation processes in enzymes and biomimetic model complexes

Area of Science:

• Biochemistry
• Biomimetic Chemistry
• Computational Chemistry

Background:

• Computational resources are becoming more powerful and affordable, increasing their use in scientific studies.
• Despite advances, computational studies on large biochemical systems present challenges and require expert knowledge.

Purpose of the Study:

• To review and highlight advancements in computational methodology for biochemical and biomimetic systems.
• To focus on state-of-the-art methods for reproducing experimental findings and predicting reaction dynamics.
• To provide examples of computational method failures in specific processes.

Main Methods:

• Review of recent literature on computational chemistry applied to enzymatic and biomimetic systems.
• Emphasis on methodologies capable of accurate prediction of spectroscopic parameters and reaction rate constants.
• Discussion of computational approaches for characterizing short-lived intermediates and fast reaction processes.

Main Results:

• Highlighting successful computational methods that accurately reproduce experimental data (e.g., spectroscopic parameters, rate constants).
• Showcasing the ability of modern computational techniques to predict transient species and rapid reaction dynamics.
• Identifying and illustrating specific cases where computational methods have failed to provide accurate results.

Conclusions:

• Computational methods offer powerful tools for studying biochemical and biomimetic systems, with significant advances in accuracy and predictive power.
• State-of-the-art computational approaches can successfully model complex phenomena, including reaction kinetics and intermediate structures.
• Awareness of the limitations and potential pitfalls of computational methods is crucial for reliable scientific investigation.