Evidence map›Paper›PMID 24896264›Full record

ArticleMolecules (Basel, Switzerland)2014

A novel phage-library-selected peptide inhibits human TNF-α binding to its receptors.

Jlenia Brunetti, Barbara Lelli, Silvia Scali, Chiara Falciani, Luisa Bracci, Alessandro Pini

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Jlenia BrunettiDepartment of Medical Biotechnologies, University of Siena, Via A. Moro 2, 53100 Siena, Italy. jlenia.brunetti@unisi.it.
Barbara LelliDepartment of Medical Biotechnologies, University of Siena, Via A. Moro 2, 53100 Siena, Italy. barbara.lelli@unisi.it.
Silvia ScaliDepartment of Medical Biotechnologies, University of Siena, Via A. Moro 2, 53100 Siena, Italy. silvia.scali@unisi.it.
Chiara FalcianiSetLance srl, via Fiorentina 1, 53100 Siena, Italy. falciani@setlance.com.
Luisa BracciDepartment of Medical Biotechnologies, University of Siena, Via A. Moro 2, 53100 Siena, Italy. luisa.bracci@unisi.it.
Alessandro PiniDepartment of Medical Biotechnologies, University of Siena, Via A. Moro 2, 53100 Siena, Italy. alessandro.pini@unisi.it.
University of Siena · ITToscana Life Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the identification of a new human tumor necrosis factor-alpha (TNF-α) specific peptide selected by competitive panning of a phage library. Competitive elution of phages was obtained using the monoclonal antibody adalimumab, which neutralizes pro-inflammatory processes caused by over-production of TNF-α in vivo, and is used to treat severe symptoms of rheumatoid arthritis. The selected peptide was synthesized in monomeric and branched form and analyzed for binding to TNF-α and competition with adalimumab and TNF-α receptors. Results of competition with TNF-α receptors in surface plasmon resonance and melanoma cells expressing both TNF receptors make the peptide a candidate compound for the development of a novel anti-TNF-α drug.

Indexed as

Peptide LibraryHumansPeptidesProtein BindingReceptors, Tumor Necrosis FactorSolid-Phase Synthesis TechniquesSurface Plasmon ResonanceTumor Necrosis Factor-alphaPeptide LibraryPeptidesReceptors, Tumor Necrosis FactorTumor Necrosis Factor-alpha

Identifiers

PMID24896264
PMCPMC6271742
OpenAlexW1999390031

What OpenQuestion holds

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LicenceCC BY
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.