ReviewIET systems biology2008
Network integration and graph analysis in mammalian molecular systems biology.
Review in IET systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Efficient prediction of drug-drug interaction using deep learning models.IET systems biology · 2020Article
- Study of biological networks using graph theory.Saudi journal of biological sciences · 2018Article
- MTGO: PPI Network Analysis Via Topological and Functional Module Identification.Scientific reports · 2018Article
- MIRA: mutual information-based reporter algorithm for metabolic networks.Bioinformatics (Oxford, England) · 2014Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Steiner tree methods for optimal sub-network identification: an empirical study.BMC bioinformatics · 2013Article
- Tools for protein-protein interaction network analysis in cancer research.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2012Review
- Systems biology of kidney diseases.Kidney international · 2012Review
- Computational approaches for translational clinical research in disease progression.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2011Review
- Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli.PLoS computational biology · 2011Article
- Antibodies and immune effectors: shaping Gram-negative bacterial phenotypes.Trends in microbiology · 2010Article
- A quick guide to large-scale genomic data mining.PLoS computational biology · 2010Article
- Visualization of omics data for systems biology.Nature methods · 2010Review
- Lists2Networks: integrated analysis of gene/protein lists.BMC bioinformatics · 2010Article
- Systems biology of stem cell fate and cellular reprogramming.Nature reviews. Molecular cell biology · 2009Review
- SNAVI: Desktop application for analysis and visualization of large-scale signaling networks.BMC systems biology · 2009Article
- Toward stem cell systems biology: from molecules to networks and landscapes.Cold Spring Harbor symposia on quantitative biology · 2008Review
- Toward a complete in silico, multi-layered embryonic stem cell regulatory network.Wiley interdisciplinary reviews. Systems biology and medicineReview
- Protein kinase target discovery from genome-wide messenger RNA expression profiling.The Mount Sinai journal of medicine, New YorkArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Abstraction of intracellular biomolecular interactions into networks is useful for data integration and graph analysis. Network analysis tools facilitate predictions of novel functions for proteins, prediction of functional interactions and identification of intracellular modules. These efforts are linked with drug and phenotype data to accelerate drug-target and biomarker discovery. This review highlights the currently available varieties of mammalian biomolecular networks, and surveys methods and tools to construct, compare, integrate, visualise and analyse such networks.
Indexed as
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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.