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Novel Sequence Discovery by Subtractive Genomics
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A fragmentation and reassembly method for ab initio phasing.

Rojan Shrestha1, Kam Y J Zhang1

  • 1Structural Bioinformatics Team, Division of Structural and Synthetic Biology, Center for Life Science Technologies, RIKEN, Yokohama, Kanagawa 230-0045, Japan.

Acta Crystallographica. Section D, Biological Crystallography
|February 10, 2015
PubMed
Summary
This summary is machine-generated.

A new fragment-assembly phasing method enables protein structure determination using low-accuracy de novo models. This approach overcomes limitations in current de novo modeling for molecular replacement in crystallography.

Keywords:
ab initio phasingde novo modelsfragmentationreassembly

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Area of Science:

  • Structural biology
  • X-ray crystallography
  • Computational biology

Background:

  • Ab initio phasing using de novo models is a key technique for solving protein structures from crystallographic data.
  • Current de novo modeling methods often produce models with insufficient accuracy for direct use in molecular replacement.

Purpose of the Study:

  • To develop and evaluate a novel fragment-assembly phasing method to improve ab initio structure determination.
  • To enable successful molecular replacement with low-accuracy de novo models.

Main Methods:

  • A fragment-assembly phasing approach was developed, disassembling low-accuracy de novo models into fragments.
  • Fragments were independently placed via molecular replacement and reassembled into a complete structure.
  • Automated model building was used for final structure determination.

Main Results:

  • The fragment-assembly method successfully solved structures for 8 out of 10 protein targets.
  • The best de novo models were, on average, over 4.0 Å from the native structures, proving insufficient for direct molecular replacement.
  • The method extends the applicability of ab initio phasing when de novo models have limited accuracy.

Conclusions:

  • Fragment-assembly phasing is a viable strategy for ab initio structure determination when direct de novo models fail.
  • This method enhances the utility of computational modeling in protein crystallography.
  • It expands the scope of solving protein structures from crystallographic data.