ArticleNature communications2019
A systematic approach to orient the human protein-protein interaction network.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- NetPolicy-RL: network-informed offline reinforcement learning for pharmacogenomic drug prioritization.Journal of computer-aided molecular design · 2026Article
- Multimodal gene and targeted drug therapy for chronic myelogenous leukemia using BIM/MCL-1 chimeric nanoparticle: computational target analysis and therapeutic validation.Nano convergence · 2026Article
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- The Need for a Systems Biology Approach in Cancer Explained.International journal of molecular sciences · 2025Review
- Network Pharmacology, Molecular Docking and Molecular Dynamics Studies to Predict the Molecular Targets and Mechanisms of Action ofPlants (Basel, Switzerland) · 2025Article
- Computational approach for decoding malaria drug targets from single-cell transcriptomics and finding potential drug molecule.Scientific reports · 2024Article
- Gene expression profiling and the isocitrate dehydrogenase mutational landscape of temozolomide‑resistant glioblastoma.Oncology letters · 2024Article
- D'or: deep orienter of protein-protein interaction networks.Bioinformatics (Oxford, England) · 2024Article
- Protein features fusion using attributed network embedding for predicting protein-protein interaction.BMC genomics · 2024Article
- Vitamin D constrains inflammation by modulating the expression of key genes on Chr17q12-21.1.eLife · 2024Article
- Detecting and dissecting signaling crosstalk via the multilayer network integration of signaling and regulatory interactions.Nucleic acids research · 2024Article
- Effects of vitamin D signaling in cardiovascular disease: centrality of macrophage polarization.Frontiers in cardiovascular medicine · 2024Article
- Computational Construction of Toxicant Signaling Networks.Chemical research in toxicology · 2023Article
- Network medicine: an approach to complex kidney disease phenotypes.Nature reviews. Nephrology · 2023Review
- PWN: enhanced random walk on a warped network for disease target prioritization.BMC bioinformatics · 2023Article
- Influence network model uncovers relations between biological processes and mutational signatures.Genome medicine · 2023Article
- TSPAN32 suppresses chronic myeloid leukemia pathogenesis and progression by stabilizing PTEN.Signal transduction and targeted therapy · 2023Article
- Using a Network-Based Analysis Approach to Investigate the Involvement ofInternational journal of molecular sciences · 2023Article
- dRNASb: a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data.Microbial genomics · 2022Article
- Reconstruction and analysis of a large-scale binary Ras-effector signaling network.Cell communication and signaling : CCS · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The protein-protein interaction (PPI) network of an organism serves as a skeleton for its signaling circuitry, which mediates cellular response to environmental and genetic cues. Understanding this circuitry could improve the prediction of gene function and cellular behavior in response to diverse signals. To realize this potential, one has to comprehensively map PPIs and their directions of signal flow. While the quality and the volume of identified human PPIs improved dramatically over the last decade, the directions of these interactions are still mostly unknown, thus precluding subsequent prediction and modeling efforts. Here we present a systematic approach to orient the human PPI network using drug response and cancer genomic data. We provide a diffusion-based method for the orientation task that significantly outperforms existing methods. The oriented network leads to improved prioritization of cancer driver genes and drug targets compared to the state-of-the-art unoriented network.
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.