Evidence map›Paper›PMID 31181809›Full record

ArticleMolecules (Basel, Switzerland)2019

A Candidate for Multitopic Probes for Ligand Discovery in Dynamic Combinatorial Chemistry.

Keiko Yoneyama, Rina Suzuki, Yusuke Kuramochi, Akiharu Satake

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Photocatalytic COChemical science · 2022
    Article
  2. Review
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.

Keiko YoneyamaGraduate School of Science, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan. 1317828@alumni.tus.ac.jp.
Rina SuzukiGraduate School of Chemical Sciences and Technology, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan. B115804@alumni.tus.ac.jp.
Yusuke KuramochiDepartment of Chemistry, Faculty of Science Division II, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan. kuramochiy@rs.tus.ac.jp.ORCID 0000-0001-5936-5010
Akiharu SatakeDepartment of Chemistry, Faculty of Science Division II, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan. satake@rs.kagu.tus.ac.jp.
Tokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifunctionalized materials are expected to be versatile probes to find specific interactions between a ligand and a target biomaterial. Thus, efficient methods to prepare possible combinations of the functionalities is desired. The concept of dynamic combinatorial chemistry (DCC) is ideal for the generation of any possible combination, as well as screening for target biomaterials. Here, we propose a new molecular design of multitopic probes for ligand discovery in DCC. We synthesized a new Gable Porphyrin,

Indexed as

Drug DiscoveryCombinatorial Chemistry TechniquesDimerizationIsomerismLigandsModels, MolecularMolecular ProbesPorphyrinsProton Magnetic Resonance SpectroscopySpectrometry, FluorescenceSpectrophotometry, UltravioletZincLigandsMolecular ProbesPorphyrinsZincamphiphiliccomplementary coordinationcopper(I)-catalyzed alkyne-azide cycloaddition (CuAAC)dynamic combinatorial chemistry (DCC)dynamic combinatorial library (DCL)gel permeation chromatography (GPC)multifunctionalized materialsupramolecular macrocyclezinc porphyrin

Identifiers

PMID31181809
PMCPMC6600254
OpenAlexW2948170518

What OpenQuestion holds

Textmetadata
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.