Evidence map›Paper›PMID 31457823›Full record

ArticleACS omega2017

Design of Polyproline-Based Catalysts for Ester Hydrolysis.

Pei-Yu Hung, Yu-Han Chen, Kuei-Yen Huang, Chi-Ching Yu, Jia-Cherng Horng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Transesterification of RNA model induced by novel dinuclear copper (II) complexes with bis-tridentate imidazole derivatives.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2023
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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 at 1 institution in 1 country.

Pei-Yu HungDepartment of Chemistry and Frontier Research Center on Fundamental and Applied Science of Matters, National Tsing Hua University, 101 Sec. 2 Kuang-Fu Rd., Hsinchu, Taiwan 30013, ROC.
Yu-Han ChenDepartment of Chemistry and Frontier Research Center on Fundamental and Applied Science of Matters, National Tsing Hua University, 101 Sec. 2 Kuang-Fu Rd., Hsinchu, Taiwan 30013, ROC.
Kuei-Yen HuangDepartment of Chemistry and Frontier Research Center on Fundamental and Applied Science of Matters, National Tsing Hua University, 101 Sec. 2 Kuang-Fu Rd., Hsinchu, Taiwan 30013, ROC.
Chi-Ching YuDepartment of Chemistry and Frontier Research Center on Fundamental and Applied Science of Matters, National Tsing Hua University, 101 Sec. 2 Kuang-Fu Rd., Hsinchu, Taiwan 30013, ROC.
Jia-Cherng HorngDepartment of Chemistry and Frontier Research Center on Fundamental and Applied Science of Matters, National Tsing Hua University, 101 Sec. 2 Kuang-Fu Rd., Hsinchu, Taiwan 30013, ROC.
National Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of simple oligopeptides have been recently developed as minimalistic catalysts for mimicking the activity and selectivity of natural proteases. Although the arrangement of amino acid residues in natural enzymes provides a strategy for designing artificial enzymes, creating catalysts with efficient binding and catalytic activity is still challenging. In this study, we used the polyproline scaffold and designed a series of 13-residue peptides with a catalytic dyad or triad incorporated to serve as artificial enzymes. Their catalytic efficiency on ester hydrolysis was evaluated by ultraviolet-visible spectroscopy using the

Identifiers

PMID31457823
PMCPMC6644415
OpenAlexW2753002413

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.