Evidence map›Paper›PMID 30933479›Full record

ArticleAccounts of chemical research2019

Noncoded Amino Acids in de Novo Metalloprotein Design: Controlling Coordination Number and Catalysis.

Karl J Koebke, Vincent L Pecoraro

Open access · greenAbstract read
In one paragraph

Article in Accounts of chemical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Karl J KoebkeDepartment of Chemistry , University of Michigan Ann Arbor , Michigan 48109 , United States.
Vincent L PecoraroDepartment of Chemistry , University of Michigan Ann Arbor , Michigan 48109 , United States.ORCID 0000-0002-1540-5735
University of Michigan · US

Funding

Toxic Metal Complexation By de Novo Designed PeptidesR01ES012236 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PECORARO, VINCENT L · 2003 to 2018
$4.4M
NIEHS NIH HHS R01 ES012236
6 · The paper itself

Abstract

The relationship between structure and function has long been one of the major points of investigation in Biophysics. Understanding how much, or how little, of a protein's often complicated structure is necessary for its function can lead to directed therapeutic strategies and would allow one to design proteins for specific desired functions. Studying protein function by de novo design builds the functionality from the ground up in a completely unrelated and noncoded protein scaffold. Our lab has used this strategy to study heavy and transition metal binding within the TRI family of three stranded coiled coil (3SCC) constructs to understand coordination geometry and metalloenzyme catalytic control within a protein environment. These peptides contain hydrophobic layers within the interior of the 3SCC, which one can mutate to metal binding residues to create a minimal metal binding site, while solid phase synthesis allows our lab to easily incorporate a number of noncoded amino acids including d enantiomers of binding or secondary coordination sphere amino acids, penicillamine, or methylated versions of histidine. Our studies of Cd(II) binding to Cys

Indexed as

Amino AcidsBinding SitesCatalysisCoordination ComplexesHistidineLigandsMetalloproteinsMetals, HeavyModels, MolecularMutationPenicillamineProtein BindingProtein Conformation, alpha-HelicalProtein EngineeringStereoisomerismAmino AcidsCoordination ComplexesHistidineLigandsMetalloproteinsMetals, HeavyPenicillamine

Identifiers

PMID30933479
PMCPMC6533121
OpenAlexW2935299751

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.