Evidence map›Paper›PMID 22767482›Full record

ArticleProtein science : a publication of the Protein Society2012

Optimization of designed armadillo repeat proteins by molecular dynamics simulations and NMR spectroscopy.

Pietro Alfarano, Gautham Varadamsetty, Christina Ewald, Fabio Parmeggiani, Riccardo Pellarin, Oliver Zerbe, Andreas Plückthun, Amedeo Caflisch

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Modular binder technology by NGS-aided, high-resolution selection in yeast of designed armadillo modules.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. The Gearbox of the Bacterial Flagellar Motor Switch.Structure (London, England : 1993) · 2016
    Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Pietro AlfaranoDepartment of Biochemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
Gautham Varadamsetty
Christina Ewald
Fabio Parmeggiani
Riccardo Pellarin
Oliver Zerbe
Andreas Plückthun
Amedeo Caflisch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multidisciplinary approach based on molecular dynamics (MD) simulations using homology models, NMR spectroscopy, and a variety of biophysical techniques was used to efficiently improve the thermodynamic stability of armadillo repeat proteins (ArmRPs). ArmRPs can form the basis of modular peptide recognition and the ArmRP version on which synthetic libraries are based must be as stable as possible. The 42-residue internal Arm repeats had been designed previously using a sequence-consensus method. Heteronuclear NMR revealed unfavorable interactions present at neutral but absent at high pH. Two lysines per repeat were involved in repulsive interactions, and stability was increased by mutating both to glutamine. Five point mutations in the capping repeats were suggested by the analysis of positional fluctuations and configurational entropy along multiple MD simulations. The most stabilizing single C-cap mutation Q240L was inferred from explicit solvent MD simulations, in which water penetrated the ArmRP. All mutants were characterized by temperature- and denaturant-unfolding studies and the improved mutants were established as monomeric species with cooperative folding and increased stability against heat and denaturant. Importantly, the mutations tested resulted in a cumulative decrease of flexibility of the folded state in silico and a cumulative increase of thermodynamic stability in vitro. The final construct has a melting temperature of about 85°C, 14.5° higher than the starting sequence. This work indicates that in silico studies in combination with heteronuclear NMR and other biophysical tools may provide a basis for successfully selecting mutations that rapidly improve biophysical properties of the target proteins.

Indexed as

Molecular Dynamics SimulationAnimalsArmadillo Domain ProteinsMiceNuclear Magnetic Resonance, BiomolecularPoint MutationProtein ConformationProtein StabilityProtein Structure, SecondaryRepetitive Sequences, Amino AcidSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsThermodynamicsArmadillo Domain ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID22767482
PMCPMC3631359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.