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Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit

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ARP/wARP and molecular replacement: the next generation.

Serge X Cohen¹, Marouane Ben Jelloul, Fei Long

¹Department of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands. s.cohen@nki.nl

Acta Crystallographica. Section D, Biological Crystallography

|December 21, 2007

Summary

This summary is machine-generated.

The flex-wARP software streamlines protein structure determination using automatic iterative model rebuilding. It offers multiple protocols to refine models from molecular replacement solutions, with an estimator to predict final model quality.

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Area of Science:

Structural Biology
Computational Biology
Biophysics

Background:

Molecular replacement (MR) is a key technique for solving protein structures.
Automatic model (re-)building tools are essential for refining MR solutions.
ARP/wARP and its control system flex-wARP are designed for iterative model rebuilding.

Purpose of the Study:

To evaluate the performance of three standard protocols within flex-wARP for automatic model rebuilding.
To compare flex-wARP's results with existing protein models in the Protein Data Bank (PDB).
To develop an empirical estimator for predicting the quality of flex-wARP-generated models.

Main Methods:

Submitted over 100 molecular replacement solutions (from BALBES software) to three flex-wARP protocols.
Systematically collected standard metrics to compare results.
Analyzed model evolution during iterative rebuilding using detailed examples.

Main Results:

Statistical conclusions were drawn regarding the advantages of each flex-wARP protocol.
An empirical estimator was proposed to predict final model quality based on input data.
Demonstrated flex-wARP's ability to reach accurate models through diverse rebuilding pathways.

Conclusions:

flex-wARP is well-suited for refining molecular replacement solutions.
The developed estimator can guide users in assessing potential model quality.
The system offers flexibility in its iterative rebuilding strategies for protein structure determination.