The time revolution in macromolecular crystallography.

Area of Science:

• Structural biology
• Biophysics
• Biochemistry

Background:

• Macromolecular crystallography historically determined protein structures.
• Cryo-electron microscopy advanced the study of large, small, and flexible proteins.
• Computational models trained on structural and sequence data predict protein folds.

Purpose of the Study:

• Present a perspective on time-resolved crystallography as a new frontier.
• Highlight the evolution and innovations in time-resolved crystallography.
• Emphasize the potential of integrating dynamic structural data with machine learning.

Main Methods:

• Tracing the evolution of time-resolved crystallography methods.
• Discussing modern serial crystallography techniques.
• Highlighting the synergy between rapid detection technologies and advanced X-ray sources.

Main Results:

• Time-resolved crystallography redefines the exploration of protein dynamics.
• High-resolution crystallography elucidates rapid dynamic processes at ambient temperatures.
• Advancements enable a deeper understanding of protein functionality.

Conclusions:

• Time-resolved crystallography is the new frontier in macromolecular structure determination.
• Integration with machine learning will unlock predictive capabilities for protein kinetics.
• This approach promises to revolutionize the study of protein dynamics.