Evidence map›Paper›PMID 27934019›Full record

ArticleJournal of the American Chemical Society2016

Experimental and Computational Analysis of Protein Stabilization by Gly-to-d-Ala Substitution: A Convolution of Native State and Unfolded State Effects.

Junjie Zou, Benben Song, Carlos Simmerling, Daniel Raleigh

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. 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
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Protein storytelling through physics.Science (New York, N.Y.) · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in microbiology · 2018
    Article
  14. Enzyme stabilization via computationally guided protein stapling.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

4 authors at 1 institution in 1 country.

Junjie ZouDepartment of Chemistry and ‡Laufer Center for Physical and Quantitative Biology, Stony Brook University , Stony Brook, New York 11794-3400, United States.
Benben SongDepartment of Chemistry and ‡Laufer Center for Physical and Quantitative Biology, Stony Brook University , Stony Brook, New York 11794-3400, United States.
Carlos SimmerlingDepartment of Chemistry and ‡Laufer Center for Physical and Quantitative Biology, Stony Brook University , Stony Brook, New York 11794-3400, United States.
Daniel RaleighDepartment of Chemistry and ‡Laufer Center for Physical and Quantitative Biology, Stony Brook University , Stony Brook, New York 11794-3400, United States.
Stony Brook University · US

Funding

New Solvent Models, Sampling Methods and Maintenance of Amber SoftwareR01GM107104 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SIMMERLING, CARLOS · 2013 to 2020
$2.4M
NIGMS NIH HHS R01 GM107104
6 · The paper itself

Abstract

The rational and predictable enhancement of protein stability is an important goal in protein design. Most efforts target the folded state, however stability is the free energy difference between the folded and unfolded states thus both are suitable targets. Strategies directed at the unfolded state usually seek to decrease chain entropy by introducing cross-links or by replacing glycines. Cross-linking has led to mixed results. Replacement of glycine with an l-amino acid, while reducing the entropy of the unfolded state, can introduce unfavorable steric interactions in the folded state, since glycine is often found in conformations that require a positive φ angle such as helical C-capping motifs or type I' and II″ β-turns. l-Amino acids are strongly disfavored in these conformations, but d-amino acids are not. However, there are few reported examples and conflicting results have been obtained when glycines are replaced with d-Ala. We critically examine the effect of Gly-to-d-Ala substitutions on protein stability using experimental approaches together with molecular dynamics simulations and free energy calculations. The data, together with a survey of high resolution structures, show that the vast majority of proteins can be stabilized by substitution of C-capping glycines with d-Ala. Sites suitable for substitutions can be identified via sequence alignment with a high degree of success. Steric clashes in the native state due to the new side chain are rarely observed, but are likely responsible for the destabilizing or null effect observed for the small subset of Gly-to-d-Ala substitutions which are not stabilizing. Changes in backbone solvation play less of a role. Favorable candidates for d-Ala substitution can be identified using a rapid algorithm based on molecular mechanics.

Indexed as

Molecular Dynamics SimulationProtein UnfoldingThermodynamicsAlanineAlgorithmsAnimalsBacterial ProteinsChickensGlycated Serum AlbuminGlycation End Products, AdvancedGlycineHomeodomain ProteinsMicrofilament ProteinsModels, MolecularProtein StabilitySerum AlbuminAlanineBacterial Proteinsengrailed homeobox proteinsGlycated Serum AlbuminGlycation End Products, AdvancedGlycineHomeodomain ProteinsMicrofilament ProteinsSerum AlbuminTranscription Factorsvillin

Identifiers

PMID27934019
PMCPMC5442443
OpenAlexW2534505019

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.