Evidence map›Paper›PMID 33519445›Full record

ArticleFrontiers in pharmacology2020

A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds.

Sunyong Yoo, Hyung Chae Yang, Seongyeong Lee, Jaewook Shin, Seyoung Min, Eunjoo Lee, Minkeun Song, Doheon Lee

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

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 28 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

8 authors at 4 institutions in 1 country.

Sunyong YooSchool of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea.
Hyung Chae YangDepartment of Otorhinolaryngology-Head and Neck Surgery, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea.
Seongyeong LeeSchool of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea.
Jaewook ShinSchool of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea.
Seyoung MinSchool of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea.
Eunjoo LeeBig Data Steering Department, National Health Insurance Service, Wonju, South Korea.
Minkeun SongDepartment of Physical and Rehabilitation Medicine, Research Institute of Medical Science, Cardiovascular Research Institute, Chonnam National University Medical School and Hospital, Gwangju, South Korea.
Doheon LeeBio-Synergy Research Center, Daejeon, South Korea.
Chonnam National University · KRChonnam National University Hospital · KRKorea Advanced Institute of Science and Technology · KRNational Health Insurance Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants and their extracts have been used as important sources for drug discovery. In particular, plant-derived natural compounds, including phytochemicals, antioxidants, vitamins, and minerals, are gaining attention as they promote health and prevent disease. Although several

Indexed as

chemical propertydeep learningmedicinal usemolecular interactionnatural compoundnatural productnetwork analysistext mining

Identifiers

PMID33519445
PMCPMC7845697
OpenAlexW3107157333

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.