Evidence map›Paper›PMID 26555441›Full record

ArticlePloS one2015

PharmDB-K: Integrated Bio-Pharmacological Network Database for Traditional Korean Medicine.

Ji-Hyun Lee, Kyoung Mii Park, Dong-Jin Han, Nam Young Bang, Do-Hee Kim, Hyeongjin Na, Semi Lim, Tae Bum Kim, Dae Gyu Kim, Hyun-Jung Kim and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Article
  7. New approaches in developing medicinal herbs databases.Database : the journal of biological databases and curation · 2023
    Review
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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

15 authors at 2 institutions in 1 country.

Ji-Hyun LeeMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Kyoung Mii ParkResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Dong-Jin HanMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Nam Young BangMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Do-Hee KimResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Hyeongjin NaResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Semi LimMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Tae Bum KimResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Dae Gyu KimMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Hyun-Jung KimCollege of Pharmacy, Chung-Ang University, Seoul 156-756, Republic of Korea.
Yeonseok ChungResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Sang Hyun SungResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Young-Joon SurhResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Sunghoon KimMedicinal Bioconvergence Research Center, Seoul National University, Seoul 152-742, Republic of Korea.
Byung Woo HanResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea.
Seoul National University · KRChung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the growing attention given to Traditional Medicine (TM) worldwide, there is no well-known, publicly available, integrated bio-pharmacological Traditional Korean Medicine (TKM) database for researchers in drug discovery. In this study, we have constructed PharmDB-K, which offers comprehensive information relating to TKM-associated drugs (compound), disease indication, and protein relationships. To explore the underlying molecular interaction of TKM, we integrated fourteen different databases, six Pharmacopoeias, and literature, and established a massive bio-pharmacological network for TKM and experimentally validated some cases predicted from the PharmDB-K analyses. Currently, PharmDB-K contains information about 262 TKMs, 7,815 drugs, 3,721 diseases, 32,373 proteins, and 1,887 side effects. One of the unique sets of information in PharmDB-K includes 400 indicator compounds used for standardization of herbal medicine. Furthermore, we are operating PharmDB-K via phExplorer (a network visualization software) and BioMart (a data federation framework) for convenient search and analysis of the TKM network. Database URL: http://pharmdb-k.org, http://biomart.i-pharm.org.

Indexed as

Database Management SystemsMedicine, TraditionalSystems IntegrationRepublic of Korea

Identifiers

PMID26555441
PMCPMC4640719
OpenAlexW2161860025

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.