Evidence map›Paper›PMID 31588264›Full record

ArticleChemical science2019

Aza-proline effectively mimics l-proline stereochemistry in triple helical collagen.

Alexander J Kasznel, Trevor Harris, Nicholas J Porter, Yitao Zhang, David M Chenoweth

Abstract read
In one paragraph

Article in Chemical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Access toACS organic & inorganic Au · 2025
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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

5 authors.

Alexander J KasznelDepartment of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.ORCID 0000-0002-4541-8940
Trevor HarrisDepartment of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.ORCID 0000-0002-2549-7944
Nicholas J PorterDepartment of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.ORCID 0000-0002-9803-5310
Yitao ZhangDepartment of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.ORCID 0000-0002-1922-3955
David M ChenowethDepartment of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.ORCID 0000-0002-0819-4669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of l-amino acids in biomolecules has been shown to have teleological importance in biomolecular structure and self-assembly. Recently, biophysical studies have demonstrated that natural l-amino acids can be replaced with non-natural achiral aza-amino acids in folded protein structures such as triple helical collagen. However, the structural consequences of achiral aza-amino acid incorporation has not been elucidated in the context of any relevant folded biomolecule. Herein, we use X-ray crystallography to provide the first atomic resolution crystal structure of an achiral aza-amino acid residue embedded within a folded protein structure, definitively illustrating that achiral aza-proline has the capacity to effectively mimic the stereochemistry of natural amino acids within the context of triple helical collagen. We further corroborate this finding with density functional theory computational analysis showing that the natural l-amino acid stereochemistry for aza-proline is energetically favored when arranged in the aza-proline-hydroxyproline-glycine motif. In addition to providing fundamental insight into peptide and protein structure, the incorporation of achiral stereochemical mimics such as aza-amino acids could have far reaching impacts in areas ranging from synthetic materials to drug design.

Identifiers

PMID31588264
PMCPMC6761869

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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.