Evidence map›Paper›PMID 29985330›Full record

ArticleJournal of visualized experiments : JoVE2018

Diagonal Method to Measure Synergy Among Any Number of Drugs.

Melike Cokol-Cakmak, Feray Bakan, Selim Cetiner, Murat Cokol

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. 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
3.4field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 36 citations in OpenAlex.

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  6. Genetic Characterization of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2024
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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

4 authors at 2 institutions in 2 countries.

Melike Cokol-CakmakFaculty of Engineering and Natural Sciences, Sabanci University.
Feray BakanNanotechnology Research and Application Center, Sabanci University.
Selim CetinerFaculty of Engineering and Natural Sciences, Sabanci University.
Murat CokolFaculty of Engineering and Natural Sciences, Sabanci University; Nanotechnology Research and Application Center, Sabanci University; Laboratory of Systems Pharmacology, Harvard Medical School; murat_cokol@hms.harvard.edu.
Sabancı Üniversitesi · TRCenter for Systems Biology · US

Funding

TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI MALISZEWSKI, LAURA ELIZABETH · 2014 to 2018
$10.8M
NIGMS NIH HHS P50 GM107618
6 · The paper itself

Abstract

A synergistic drug combination has a higher efficacy compared to the effects of individual drugs. Checkerboard assays, where drugs are combined in many doses, allow sensitive measurement of drug interactions. However, these assays are costly and do not scale well for measuring interaction among many drugs. Several recent studies have reported drug interaction measurements using a diagonal sampling of the traditional checkerboard assay. This alternative methodology greatly decreases the cost of drug interaction experiments and allows interaction measurement for combinations with many drugs. Here, we describe a protocol to measure the three pairwise interactions and one three-way interaction among three antibiotics in duplicate, in five days, using only three 96-well microplates and standard laboratory equipment. We present representative results showing that the three-antibiotic combination of Levofloxacin + Nalidixic Acid + Penicillin G is synergistic. Our protocol scales up to measure interactions among many drugs and in other biological contexts, allowing for efficient screens for multi-drug synergies against pathogens and tumors.

Indexed as

Drug SynergismDrug Therapy, CombinationHumansResearch Design

Identifiers

PMID29985330
PMCPMC6101960
OpenAlexW2809487392

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.