Quantum chemical descriptors based on semiempirical methods for large biomolecules

Area of Science:

• Computational Chemistry
• Quantum Chemistry
• Biophysics

Background:

• Traditional quantum chemistry methods struggle with the electronic structure of macromolecules.
• Existing reactivity descriptors and principles are often ill-suited for large biological systems.

Approach:

• This review explores modifications of conceptual density functional theory (CDFT) reactivity descriptors and hard and soft acid and base (HSAB) principles.
• Focus is placed on utilizing semiempirical electronic structure methods for macromolecular analysis.
• Implementation within the PRIMoRDiA software is discussed.

Key Points:

• Semiempirical methods are essential for accurate electronic structure analysis of macromolecules.
• These methods address limitations of applying small-molecule protocols to large biological systems.
• Recent applications include enzymatic catalysis, protein-binding, and protein structural analysis.

Conclusions:

• Semiempirical methods offer a powerful, low-cost approach for analyzing large molecules.
• They are expected to play a significant role in future computational chemistry evaluations of biological macromolecules.
• Advancements may enable exploration of larger biological entities and longer timescales.