Evidence map›Paper›PMID 22589384›Full record

ReviewBriefings in bioinformatics2013

Bioinformatics opportunities for identification and study of medicinal plants.

Vivekanand Sharma, Indra Neil Sarkar

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Exploring the Therapeutic Potential ofAnti-cancer agents in medicinal chemistry · 2026
    Review
  2. The potential ofFuture science OA · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Comparative Genome-Wide Analysis of TwoPlants (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Potential Anti-Antioxidants (Basel, Switzerland) · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Antinociceptive Activity ofFrontiers in pharmacology · 2017
    Article
  19. Article
  20. 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

2 authors.

Vivekanand SharmaDepartment of Microbiology and Molecular Genetics, University of Vermont, 89 Beaumont Avenue, Given Courtyard N309, Burlington, VT 05405, USA.
Indra Neil Sarkar

Funding

Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic IntelligenceR01LM009725 · NLM · MARINE BIOLOGICAL LABORATORY · PI SARKAR, INDRA N · 2008 to 2010
$1.1M
NLM NIH HHS R01LM009725
6 · The paper itself

Abstract

Plants have been used as a source of medicine since historic times and several commercially important drugs are of plant-based origin. The traditional approach towards discovery of plant-based drugs often times involves significant amount of time and expenditure. These labor-intensive approaches have struggled to keep pace with the rapid development of high-throughput technologies. In the era of high volume, high-throughput data generation across the biosciences, bioinformatics plays a crucial role. This has generally been the case in the context of drug designing and discovery. However, there has been limited attention to date to the potential application of bioinformatics approaches that can leverage plant-based knowledge. Here, we review bioinformatics studies that have contributed to medicinal plants research. In particular, we highlight areas in medicinal plant research where the application of bioinformatics methodologies may result in quicker and potentially cost-effective leads toward finding plant-based remedies.

Indexed as

Computational BiologyDatabases, GeneticDNA Barcoding, TaxonomicDrug DiscoveryHigh-Throughput Nucleotide SequencingHumansKnowledge BasesPhytotherapyPlants, Medicinal

Identifiers

PMID22589384
PMCPMC3603214

What OpenQuestion holds

Textmetadata
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.