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Recent developments in software for the automation of crystallographic macromolecular structure determination
P D Adams1, R W Grosse-Kunstleve
1Lawrence Berkeley National Laboratory, Mailstop 4-230, 1 Cyclotron Road, Berkeley, CA 94720, USA. PDAdams@lbl.gov
Current Opinion in Structural Biology
|October 24, 2000
Summary
Automating macromolecular structure determination using X-ray crystallography is advancing. Recent algorithmic improvements and software packages are making this complex process more efficient for researchers.
Area of Science:
- Structural Biology
- Biophysics
- Computational Biology
Background:
- Macromolecular structure determination is crucial for understanding biological processes.
- X-ray crystallography is a primary method for determining these structures.
- Complete automation of X-ray crystallography has been a long-standing research objective.
Purpose of the Study:
- To highlight recent advancements in the automation of macromolecular structure determination.
- To discuss the impact of improved algorithms and software on X-ray crystallography efficiency.
Main Methods:
- Review of recent algorithmic improvements in X-ray crystallography.
- Analysis of software packages incorporating these advancements.
- Assessment of the impact on the structure determination workflow.
Main Results:
- Significant progress has been made in automating multiple stages of X-ray crystallography.
- New algorithms and integrated software packages enhance efficiency.
- These developments represent initial steps towards full automation.
Conclusions:
- Recent advancements are making X-ray crystallography more efficient.
- The automation of macromolecular structure determination is becoming increasingly feasible.
- Continued development promises further streamlining of the process.