ReviewNature reviews. Genetics2013
High-resolution network biology: connecting sequence with function.
Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed.
- Article
- Predicting functions of uncharacterized gene products from microbial communities.Nature biotechnology · 2026Article
- Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review.Journal of translational medicine · 2025Review
- Broad functional profiling of fission yeast proteins using phenomics and machine learning.eLife · 2023Article
- Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism.Journal of biomedical science · 2023Review
- From systems to structure - using genetic data to model protein structures.Nature reviews. Genetics · 2022Review
- Proteomic profiling reveals the potential mechanisms and regulatory targets of sirtuin 4 in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced Parkinson's mouse model.Frontiers in neuroscience · 2022Article
- The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases.International journal of molecular sciences · 2021Review
- Pairwise Biological Network Alignment Based on Discrete Bat Algorithm.Computational and mathematical methods in medicine · 2021Article
- mRNAs, proteins and the emerging principles of gene expression control.Nature reviews. Genetics · 2020Review
- Extensive rewiring of the EGFR network in colorectal cancer cells expressing transforming levels of KRASNature communications · 2020Article
- Functional geometry of protein interactomes.Bioinformatics (Oxford, England) · 2019Article
- Regulostat Inferelator: a novel network biology platform to uncover molecular devices that predetermine cellular response phenotypes.Nucleic acids research · 2019Article
- Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.Methods (San Diego, Calif.) · 2019Article
- Review
- REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES.The annals of applied statistics · 2018Article
- Mutations that prevent methylation of cohesin render sensitivity to DNA damage inJournal of cell science · 2018Article
- Revisiting Antipsychotic Drug Actions Through Gene Networks Associated With Schizophrenia.The American journal of psychiatry · 2018Article
- Integrative omics for health and disease.Nature reviews. Genetics · 2018Review
- The Key Genes of Chronic Pancreatitis which Bridge Chronic Pancreatitis and Pancreatic Cancer Can be Therapeutic Targets.Pathology oncology research : POR · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Proteins are not monolithic entities; rather, they can contain multiple domains that mediate distinct interactions, and their functionality can be regulated through post-translational modifications at multiple distinct sites. Traditionally, network biology has ignored such properties of proteins and has instead examined either the physical interactions of whole proteins or the consequences of removing entire genes. In this Review, we discuss experimental and computational methods to increase the resolution of protein-protein, genetic and drug-gene interaction studies to the domain and residue levels. Such work will be crucial for using interaction networks to connect sequence and structural information, and to understand the biological consequences of disease-associated mutations, which will hopefully lead to more effective therapeutic strategies.
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.