Evidence map›Paper›PMID 29140469›Full record

ArticleNucleic acids research2018

SuperDRUG2: a one stop resource for approved/marketed drugs.

Vishal B Siramshetty, Oliver Andreas Eckert, Björn-Oliver Gohlke, Andrean Goede, Qiaofeng Chen, Prashanth Devarakonda, Saskia Preissner, Robert Preissner

Abstract readDataset
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Pyronaridine as a Bromodomain-Containing Protein 4-Molecules (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

8 authors.

Vishal B SiramshettyStructural Bioinformatics Group, Experimental and Clinical Research Center (ECRC), Charité - University Medicine Berlin, Berlin, Germany.
Oliver Andreas EckertStructural Bioinformatics Group, Experimental and Clinical Research Center (ECRC), Charité - University Medicine Berlin, Berlin, Germany.
Björn-Oliver GohlkeStructural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
Andrean GoedeStructural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
Qiaofeng ChenStructural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
Prashanth DevarakondaStructural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
Saskia PreissnerStructural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
Robert PreissnerStructural Bioinformatics Group, Experimental and Clinical Research Center (ECRC), Charité - University Medicine Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular monitoring of drug regulatory agency web sites and similar resources for information on new drug approvals and changes to legal status of marketed drugs is impractical. It requires navigation through several resources to find complete information about a drug as none of the publicly accessible drug databases provide all features essential to complement in silico drug discovery. Here, we propose SuperDRUG2 (http://cheminfo.charite.de/superdrug2) as a comprehensive knowledge-base of approved and marketed drugs. We provide the largest collection of drugs (containing 4587 active pharmaceutical ingredients) which include small molecules, biological products and other drugs. The database is intended to serve as a one-stop resource providing data on: chemical structures, regulatory details, indications, drug targets, side-effects, physicochemical properties, pharmacokinetics and drug-drug interactions. We provide a 3D-superposition feature that facilitates estimation of the fit of a drug in the active site of a target with a known ligand bound to it. Apart from multiple other search options, we introduced pharmacokinetics simulation as a unique feature that allows users to visualise the 'plasma concentration versus time' profile for a given dose of drug with few other adjustable parameters to simulate the kinetics in a healthy individual and poor or extensive metabolisers.

Indexed as

Databases, PharmaceuticalDrug ApprovalKnowledge BasesMarketingDrug InteractionsDrug-Related Side Effects and Adverse ReactionsHumansInternetPharmaceutical PreparationsPharmacokineticsUser-Computer InterfacePharmaceutical Preparations

Identifiers

PMID29140469
PMCPMC5753395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.