ReviewBMC systems biology2013
Network based elucidation of drug response: from modulators to targets.
Review in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- Deciphering the Mechanisms of Statin-Ezetimibe Drug Combinations Using Boolean Logical Modeling and Transcriptomic Data.CPT: pharmacometrics & systems pharmacology · 2026Article
- Use of Computational Models to Investigate Human Targets of Small Ubiquitous Molecules.Chembiochem : a European journal of chemical biology · 2026Article
- Towards an interpretable deep learning model of cancer.NPJ precision oncology · 2025Review
- Drug Repurposing: A Leading Strategy for New Threats and Targets.ACS pharmacology & translational science · 2024Review
- Repurposing approved non-oncology drugs for cancer therapy: a comprehensive review of mechanisms, efficacy, and clinical prospects.European journal of medical research · 2023Review
- Network analyses reveal new insights into the effect of multicomponent Tr14 compared to single-component diclofenac in an acute inflammation model.Journal of inflammation (London, England) · 2023Article
- Third-order motifs are sufficient to fully and uniquely characterize spatiotemporal neural network activity.Scientific reports · 2023Article
- Current trends and future prospects of drug repositioning in gastrointestinal oncology.Frontiers in pharmacology · 2023Review
- Review
- Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities.Chemical research in toxicology · 2022Review
- Considerations and challenges for sex-aware drug repurposing.Biology of sex differences · 2022Review
- Article
- A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules.Scientific reports · 2020Article
- Drug repurposing: a promising tool to accelerate the drug discovery process.Drug discovery today · 2019Review
- Network inference performance complexity: a consequence of topological, experimental and algorithmic determinants.Bioinformatics (Oxford, England) · 2019Article
- Disease Pathway Cut for Multi-Target drugs.BMC bioinformatics · 2019Article
- Drug repurposing: progress, challenges and recommendations.Nature reviews. Drug discovery · 2019Review
- Drug Repurposing for Japanese Encephalitis Virus Infection by Systems Biology Methods.Molecules (Basel, Switzerland) · 2018Article
- A review of connectivity map and computational approaches in pharmacogenomics.Briefings in bioinformatics · 2018Review
- KRAS mutant colorectal cancer gene signatures identified angiotensin II receptor blockers as potential therapies.Oncotarget · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
: Network-based drug discovery aims at harnessing the power of networks to investigate the mechanism of action of existing drugs, or new molecules, in order to identify innovative therapeutic treatments. In this review, we describe some of the most recent advances in the field of network pharmacology, starting with approaches relying on computational models of transcriptional networks, then moving to protein and signaling network models and concluding with "drug networks". These networks are derived from different sources of experimental data, or literature-based analysis, and provide a complementary view of drug mode of action. Molecular and drug networks are powerful integrated computational and experimental approaches that will likely speed up and improve the drug discovery process, once fully integrated into the academic and industrial drug discovery pipeline.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.