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A Protocol for Computer-Based Protein Structure and Function Prediction
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Molecular-replacement phasing using predicted protein structures from AWSEM-Suite.

Shikai Jin1,2, Mitchell D Miller2, Mingchen Chen1

  • 1Center for Theoretical Biological Physics, Rice University, Houston, Texas, USA.

Iucrj
|November 19, 2020
PubMed
Summary
This summary is machine-generated.

The Associative memory, Water-mediated, Structure and Energy Model Suite (AWSEM-Suite) effectively predicts protein structures for molecular replacement when no solved template exists. AWSEM-Suite often outperforms other methods in solving the X-ray crystallography phase problem.

Keywords:
AWSEM-Suitemolecular replacementstructure prediction

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Area of Science:

  • Structural biology
  • X-ray crystallography
  • Computational biology

Background:

  • The X-ray crystallography phase problem hinders structure determination by preventing direct measurement of wave phases.
  • Molecular replacement (MR) typically relies on solved template structures to estimate these phases.
  • Finding suitable templates is crucial, but challenging when sequence similarity is low.

Purpose of the Study:

  • To evaluate the effectiveness of AWSEM-Suite predicted structures for molecular replacement.
  • To determine if AWSEM-Suite can extend the applicability of MR to proteins with low sequence similarity to known structures.

Main Methods:

  • Utilized structures generated by the AWSEM-Suite prediction algorithm.
  • Assessed the performance of AWSEM-Suite in molecular replacement.
  • Compared AWSEM-Suite performance against I-TASSER-MR and AWSEM-Template.

Main Results:

  • AWSEM-Suite predicted structures proved effective for molecular replacement.
  • The algorithm successfully provided useful phase information, aiding structure determination.
  • AWSEM-Suite demonstrated superior performance compared to I-TASSER-MR and AWSEM-Template.

Conclusions:

  • AWSEM-Suite is a valuable tool for solving the phase problem in X-ray crystallography.
  • Predicted protein models can successfully facilitate molecular replacement, expanding its scope.
  • This approach enhances the ability to determine structures for proteins lacking homologous templates.