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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Utilization of protein intrinsic disorder knowledge in structural proteomics
Christopher J Oldfield1, Bin Xue, Ya-Yue Van
1Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA. cjoldfie@umail.iu.edu
Biochimica Et Biophysica Acta
|December 13, 2012
Summary
Intrinsically disordered proteins (IDPs) are abundant but challenging for structural characterization. Predicting disorder helps select better protein targets for structure determination, improving efficiency.
Area of Science:
- Biochemistry
- Structural Biology
- Proteomics
Background:
- Intrinsically disordered proteins (IDPs) are abundant and crucial for biological processes, yet pose challenges for structural determination.
- IDPs lack stable tertiary structures, complicating traditional structure determination pipelines.
Purpose of the Study:
- To investigate the impact of IDPs on protein structure determination.
- To evaluate the effectiveness of disorder prediction in selecting and refining protein targets for structural characterization.
Main Methods:
- Analysis of existing protein crystal structures to assess the prevalence of intrinsic disorder.
- Application of disorder prediction tools to identify suitable protein targets for structure determination.
Main Results:
- Few existing crystal structures contain extensive intrinsically disordered regions.
- Filtering highly disordered proteins from target lists is cost-effective for structure determination.
- Disorder prediction effectively enriches structure determination pipelines with crystallizable proteins.
Conclusions:
- Disorder prediction is a valuable strategy to improve the success rate of protein structure determination.
- A framework for integrating intrinsic disorder considerations into structure determination pipelines is proposed.
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