Evidence map›Paper›PMID 32443730›Full record

ArticleInternational journal of molecular sciences2020

Synthesis of Fmoc-Triazine Amino Acids and Its Application in the Synthesis of Short Antibacterial Peptidomimetics.

Pethaiah Gunasekaran, Eun Young Kim, Jian Lee, Eun Kyoung Ryu, Song Yub Shin, Jeong Kyu Bang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. 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
1.5field-weighted citation impact, top 19% 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, 12 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

6 authors at 2 institutions in 1 country.

Pethaiah GunasekaranDivision of Magnetic Resonance, Korea Basic Science Institute (KBSI), Ochang 28119, Korea.
Eun Young KimDepartment of Medical Science, Graduate School, Chosun University, Gwangju 61452, Korea.
Jian LeeDivision of Magnetic Resonance, Korea Basic Science Institute (KBSI), Ochang 28119, Korea.
Eun Kyoung RyuDivision of Magnetic Resonance, Korea Basic Science Institute (KBSI), Ochang 28119, Korea.
Song Yub ShinDepartment of Medical Science, Graduate School, Chosun University, Gwangju 61452, Korea.
Jeong Kyu BangDivision of Magnetic Resonance, Korea Basic Science Institute (KBSI), Ochang 28119, Korea.
Korea Basic Science Institute · KRChosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To combat the escalating rise of antibacterial resistance, the development of antimicrobial peptides (AMPs) with a unique mode of action is considered an attractive strategy. However, proteolytic degradation of AMPs remains the greatest challenge in their transformation into therapeutics. Herein, we synthesized Fmoc-triazine amino acids that differ from each other by anchoring either cationic or hydrophobic residues. These unnatural amino acids were adopted for solid-phase peptide synthesis (SPPS) to synthesize a series of amphipathic antimicrobial peptidomimetics. From the antimicrobial screening, we found that the trimer,

Indexed as

Amino AcidsAnimalsBiomimetic MaterialsCells, CulturedErythrocytesEscherichia coliHemolysisHydrophobic and Hydrophilic InteractionsMicePore Forming Cytotoxic ProteinsProtein StabilityPseudomonas aeruginosaRAW 264.7 CellsSheepStaphylococcus aureusStructure-Activity RelationshipAmino AcidsPore Forming Cytotoxic ProteinsTriazinesantibacterialsFmoc-triazine-amino acidsintracellular targetingshort peptidomimeticsunnatural amino acids

Identifiers

PMID32443730
PMCPMC7279249
OpenAlexW3026094711

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.