Evidence map›Paper›PMID 29223142›Full record

ArticleBiomolecules & therapeutics2018

Designing Tyrosinase siRNAs by Multiple Prediction Algorithms and Evaluation of Their Anti-Melanogenic Effects.

Ok-Seon Kwon, Soo-Jung Kwon, Jin Sang Kim, Gunbong Lee, Han-Joo Maeng, Jeongmi Lee, Gwi Seo Hwang, Hyuk-Jin Cha, Kwang-Hoon Chun

Open access · greenAbstract read
In one paragraph

Article in Biomolecules & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Designing an effective therapeutic siRNA to silence RdRp gene of SARS-CoV-2.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    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

9 authors at 3 institutions in 1 country.

Ok-Seon KwonDepartment of Life Sciences, Sogang University, Seoul 04107, Republic of Korea.
Soo-Jung KwonDepartment of Life Sciences, Sogang University, Seoul 04107, Republic of Korea.
Jin Sang KimLeaders Cosmetics Co., Ltd., Anseong 17599, Republic of Korea.
Gunbong LeeLeaders Cosmetics Co., Ltd., Anseong 17599, Republic of Korea.
Han-Joo MaengGachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea.
Jeongmi LeeSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Gwi Seo HwangLaboratory of Cell Differentiation Research, College of Korean Medicine, Gachon University, Seongnam 13120, Republic of Korea.
Hyuk-Jin ChaDepartment of Life Sciences, Sogang University, Seoul 04107, Republic of Korea.
Kwang-Hoon ChunGachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University, Incheon 21936, Republic of Korea.
Gachon University · KRSogang University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanin is a pigment produced from tyrosine in melanocytes. Although melanin has a protective role against UVB radiation-induced damage, it is also associated with the development of melanoma and darker skin tone. Tyrosinase is a key enzyme in melanin synthesis, which regulates the rate-limiting step during conversion of tyrosine into DOPA and dopaquinone. To develop effective RNA interference therapeutics, we designed a melanin siRNA pool by applying multiple prediction programs to reduce human tyrosinase levels. First, 272 siRNAs passed the target accessibility evaluation using the

Indexed as

MelaninMelanocytessiRNATyrosinaseWhitening

Identifiers

PMID29223142
PMCPMC5933895
OpenAlexW2775378644

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.