ReviewFrontiers in genetics2014
Targeting molecular networks for drug research.
Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Computational drug repurposing: approaches, evaluation of in silico resources and case studies.Nature reviews. Drug discovery · 2025Review
- Structure-based drug designing for potential antiviral activity of selected natural product against Monkeypox (Mpox) virus and its host targets.Virusdisease · 2024Article
- PBITProtein science : a publication of the Protein Society · 2024Article
- Host cell cAMP-Epac-Rap1b pathway inhibition by hawthorn extract as a potential target againstFrontiers in microbiology · 2023Article
- DrDimont: explainable drug response prediction from differential analysis of multi-omics networks.Bioinformatics (Oxford, England) · 2022Article
- Alveolar Regeneration in COVID-19 Patients: A Network Perspective.International journal of molecular sciences · 2021Review
- Key drug-targeting genes in pancreatic ductal adenocarcinoma.Genes & cancer · 2021Article
- The tapeworm interactome: inferring confidence scored protein-protein interactions from the proteome of Hymenolepis microstoma.BMC genomics · 2020Article
- Review
- Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes.NPJ systems biology and applications · 2019Article
- HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington's Disease.Scientific reports · 2017Article
- Integrative network and transcriptomics-based approach predicts genotype- specific drug combinations for melanoma.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- In silico methods for drug repurposing and pharmacology.Wiley interdisciplinary reviews. Systems biology and medicine · 2016Review
- From synthesis to function via iterative assembly of N-methyliminodiacetic acid boronate building blocks.Accounts of chemical research · 2015Article
- Surviving apoptosis: life-death signaling in single cells.Trends in cell biology · 2015Review
- Novel drug target identification for the treatment of dementia using multi-relational association mining.Scientific reports · 2015Article
- Nontoxic antimicrobials that evade drug resistance.Nature chemical biology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.
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.