Evidence map›Paper›PMID 28358320›Full record

ReviewMarine drugs2017

From Marine Venoms to Drugs: Efficiently Supported by a Combination of Transcriptomics and Proteomics.

Bing Xie, Yu Huang, Kate Baumann, Bryan Grieg Fry, Qiong Shi

Open access · goldAbstract readReview
In one paragraph

Review in Marine drugs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

5 authors at 2 institutions in 2 countries.

Bing XieVenomics Research Group, BGI-Shenzhen, Shenzhen 518083, China. xiebing@genomics.cn.
Yu HuangShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI, Shenzhen 518083, China. huangyu@genomics.cn.
Kate BaumannVenom Evolution Lab, School of Biological Sciences, University of Queensland, St. Lucia 4072, Australia. kate.baumann@uqconnect.edu.au.
Bryan Grieg FryVenom Evolution Lab, School of Biological Sciences, University of Queensland, St. Lucia 4072, Australia. bgfry@uq.edu.au.
Qiong ShiShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI, Shenzhen 518083, China. shiqiong@genomics.cn.
BGI Group (China) · CNThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential of marine natural products to become new drugs is vast; however, research is still in its infancy. The chemical and biological diversity of marine toxins is immeasurable and as such an extraordinary resource for the discovery of new drugs. With the rapid development of next-generation sequencing (NGS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS), it has been much easier and faster to identify more toxins and predict their functions with bioinformatics pipelines, which pave the way for novel drug developments. Here we provide an overview of related bioinformatics pipelines that have been supported by a combination of transcriptomics and proteomics for identification and function prediction of novel marine toxins.

Indexed as

AnimalsBiological ProductsComputational BiologyHumansMarine ToxinsProteomeProteomicsTandem Mass SpectrometryTranscriptomeVenomsBiological ProductsMarine ToxinsProteomeVenomsdatabasemarine toxinsproteometranscriptomevenomics

Identifiers

PMID28358320
PMCPMC5408249
OpenAlexW2597935507

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.