Evidence map›Paper›PMID 29026882›Full record

ArticleScience advances2017

Efficient measurement and factorization of high-order drug interactions in

Murat Cokol, Nurdan Kuru, Ece Bicak, Jonah Larkins-Ford, Bree B Aldridge

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

88 citing papers in PubMed, 151 citations in OpenAlex.

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  20. GEODE: anFrontiers in pharmacology · 2025
    Article

28 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

5 authors at 3 institutions in 2 countries.

Murat CokolDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA.ORCID 0000-0001-9084-3367
Nurdan KuruFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.
Ece BicakMaster of Science Program in Biotechnology, Brandeis University, Waltham, MA 02453, USA.
Jonah Larkins-FordDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA.
Bree B AldridgeDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA.ORCID 0000-0003-2236-1424
Tufts University · USBrandeis University · USSabancı Üniversitesi · TR

Funding

TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI JURIC, DEJAN · 2014 to 2018
$10.8M
MOLECULAR ANALYSIS OF MICROBIAL PATHOGENST32AI007422 · NIAID · TUFTS UNIVERSITY BOSTON · PI Ralph R. Isberg · 1992 to 2026
$5.7M
Quantitative Design of Multi-drug Regiments for TuberculosisDP2LM011952 · NLM · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY · 2013 to 2018
$2.9M
NIAID NIH HHS T32 AI007422NIGMS NIH HHS P50 GM107618NLM NIH HHS DP2 LM011952
6 · The paper itself

Abstract

Combinations of three or more drugs are used to treat many diseases, including tuberculosis. Thus, it is important to understand how synergistic or antagonistic drug interactions affect the efficacy of combination therapies. However, our understanding of high-order drug interactions is limited because of the lack of both efficient measurement methods and theoretical framework for analysis and interpretation. We developed an efficient experimental sampling and scoring method [diagonal measurement of

Indexed as

Drug InteractionsAntitubercular AgentsDose-Response Relationship, DrugDrug AntagonismDrug SynergismDrug Therapy, CombinationHumansInhibitory Concentration 50Microbial Sensitivity TestsMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID29026882
PMCPMC5636204
OpenAlexW2764287995

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.