Evidence map›Paper›PMID 24807049›Full record

ArticleBioconjugate chemistry2014

claMP Tag: a versatile inline metal-binding platform based on the metal abstraction peptide.

Brittney J Mills, Qingxin Mu, Mary E Krause, Jennifer S Laurence

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2014. 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
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Metal-bound claMP Tag inhibits proteolytic cleavage.Protein engineering, design & selection : PEDS · 2017
    Article
  2. Article
  3. 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.

Brittney J MillsDepartment of Chemistry, The University of Kansas , Lawrence, Kansas 66045, United States.
Qingxin Mu
Mary E Krause
Jennifer S Laurence
University of Kansas · US

Funding

PHARMACEUTICAL ASPECTS OF BIOTECHNOLOGY TRAININGT32GM008359 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI SIAHAAN, TERUNA J., VOLKIN, DAVID · 1989 to 2018
$5.0M
NIGMS NIH HHS T32 GM008359NIGMS NIH HHS T32 GM-08359
6 · The paper itself

Abstract

Molecularly targeted research and diagnostic tools are essential to advancing understanding and detection of many diseases. Metals often impart the desired functionality to these tools, and conjugation of high-affinity chelators to proteins is carried out to enable targeted delivery of the metal. This approach has been much more effective with large lanthanide series metals than smaller transition metals. Because chemical conjugation requires additional processing and purification steps and yields a heterogeneous mixture of products, inline incorporation of a peptide tag capable of metal binding is a highly preferable alternative. Development of a transition metal binding tag would provide opportunity to greatly expand metal-based analyses. The metal abstraction peptide (MAP) sequence was genetically engineered into recombinant protein to generate the claMP Tag. The effects of this tag on recombinant epidermal growth factor (EGF) protein expression, disulfide bond formation, tertiary structural integrity, and transition metal incorporation using nickel were examined to confirm the viability of utilizing the MAP sequence to generate linker-less metal conjugates.

Indexed as

Binding SitesCell SurvivalDose-Response Relationship, DrugEGF Family of ProteinsHumansModels, MolecularMolecular StructureNickelPeptidesStructure-Activity RelationshipTumor Cells, CulturedEGF Family of ProteinsNickelPeptides

Identifiers

PMID24807049
PMCPMC4215913
OpenAlexW2317181867

What OpenQuestion holds

Textmetadata
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.