Protein interactions and dynamics probed by quantum chemistry, computer simulations and neutron experiments

Area of Science:

• Biophysics
• Computational Biology
• Structural Biology

Background:

• Proteins are crucial biological molecules with complex structures and dynamics.
• Understanding protein motion is key to elucidating their function.
• Advanced computational and experimental techniques are needed to study these systems.

Purpose of the Study:

• To review recent experimental and computational studies on protein structure and dynamics.
• To illustrate the application of quantum chemical techniques for biological supramolecular complexes.
• To discuss the integration of simulations with neutron scattering for analyzing protein motion.

Main Methods:

• Quantum chemical calculations for geometries and energies of supramolecular complexes.
• Development of empirical energy functions for protein simulations.
• Coherent and incoherent inelastic neutron scattering experiments.
• Molecular dynamics simulations.

Main Results:

• Quantum chemistry accurately determines structures and energies of biological complexes.
• Empirical force fields are developed for large-scale protein simulations.
• Neutron scattering combined with simulations elucidates lattice vibrations and atomic diffusion in crystals.
• Molecular dynamics aids interpretation of neutron scattering data for protein dynamics.

Conclusions:

• Computational and experimental methods provide insights into protein structure and dynamics.
• Simulations and neutron scattering are powerful tools for studying atomic motions in proteins.
• Understanding protein dynamics is essential for understanding biological function.