Evidence map›Paper›PMID 30830479›Full record

ArticleJournal of cheminformatics2019

CSgator: an integrated web platform for compound set analysis.

Sera Park, Yeajee Kwon, Hyesoo Jung, Sukyung Jang, Haeseung Lee, Wankyu Kim

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. DenovoProfiling: A webserver forComputational and structural biotechnology journal · 2022
    Article
  3. Article
  4. 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

6 authors.

Sera ParkEwha Research Center for Systems Biology, Department of Life Science, Division of Molecular and Life Sciences, Ewha Womans University, Seoul, Korea.
Yeajee KwonKaiPharm, Seoul, Korea.
Hyesoo JungEwha Research Center for Systems Biology, Department of Life Science, Division of Molecular and Life Sciences, Ewha Womans University, Seoul, Korea.
Sukyung JangEwha Research Center for Systems Biology, Department of Life Science, Division of Molecular and Life Sciences, Ewha Womans University, Seoul, Korea.
Haeseung LeeEwha Research Center for Systems Biology, Department of Life Science, Division of Molecular and Life Sciences, Ewha Womans University, Seoul, Korea.
Wankyu KimEwha Research Center for Systems Biology, Department of Life Science, Division of Molecular and Life Sciences, Ewha Womans University, Seoul, Korea. wkim@ewha.ac.kr.ORCID http://orcid.org/0000-0003-3181-0594

Funding

Institute for Information and communications Technology Promotion No. 2016-0-00289Ministry of Education, Science and Technology NRF-2017M3C9A5028690Ministry of Education, Science and Technology NRF-279 2017R1A2B4007855
6 · The paper itself

Abstract

Drug discovery typically involves investigation of a set of compounds (e.g. drug screening hits) in terms of target, disease, and bioactivity. CSgator is a comprehensive analytic tool for set-wise interpretation of compounds. It has two unique analytic features of Compound Set Enrichment Analysis (CSEA) and Compound Cluster Analysis (CCA), which allows batch analysis of compound set in terms of (i) target, (ii) bioactivity, (iii) disease, and (iv) structure. CSEA and CCA present enriched profiles of targets and bioactivities in a compound set, which leads to novel insights on underlying drug mode-of-action, and potential targets. Notably, we propose a novel concept of 'Hit Enriched Assays", i.e. bioassays of which hits are enriched among a given set of compounds. As an example, we show its utility in revealing drug mode-of-action or identifying hidden targets for anti-lymphangiogenesis screening hits. CSgator is available at http://csgator.ewha.ac.kr , and most analytic results are downloadable.

Indexed as

Bioactivity profileBioassayCompound networkCompound set analysisDrug target

Identifiers

PMID30830479
PMCPMC6419788

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.