Evidence map›Paper›PMID 35085776›Full record

ArticleGenomics, proteomics & bioinformatics2022

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets.

Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, Alina Malyutina, Tolou Shadbahr, Ziaurrehman Tanoli, Alberto Pessia, Jing Tang

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 447 papers.

0numbers the graph read from it
0cells of the map it votes in
447citing 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

447 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Targeting IMPDH to inhibit SAMHD1 inCell cycle (Georgetown, Tex.) · 2026
    Article
  7. Article
  8. Enhanced anticancer efficacy ofMaterials today. Bio · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

387 more citing papers are in PubMed but not listed here.

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.

Shuyu ZhengResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Wenyu WangResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Jehad AldahdoohResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Alina MalyutinaResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Tolou ShadbahrResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Ziaurrehman TanoliResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Alberto PessiaResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland.
Jing TangResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki 00290, Finland. Electronic address: jing.tang@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the SynergyFinder R package for improved interpretation and annotation of drug combination screening results. Unlike the existing implementations, the updated SynergyFinder R package includes five main innovations. 1) We extend the mathematical models to higher-order drug combination data analysis and implement dimension reduction techniques for visualizing the synergy landscape. 2) We provide a statistical analysis of drug combination synergy and sensitivity with confidence intervals and P values. 3) We incorporate a synergy barometer to harmonize multiple synergy scoring methods to provide a consensus metric for synergy. 4) We evaluate drug combination synergy and sensitivity to provide an unbiased interpretation of the clinical potential. 5) We enable fast annotation of drugs and cell lines, including their chemical and target information. These annotations will improve the interpretation of the mechanisms of action of drug combinations. To facilitate the use of the R package within the drug discovery community, we also provide a web server at www.synergyfinderplus.org as a user-friendly interface to enable a more flexible and versatile analysis of drug combination data.

Indexed as

Models, TheoreticalSoftwareCell LineDrug CombinationsDrug SynergismDrug CombinationsDrug combinationDrug combination sensitivity analysisDrug discoverySynergyFinderSynergy modeling

Identifiers

PMID35085776
PMCPMC9801064

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.