Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Minimally perturbing a gene regulatory network to avoid a disease phenotype: the glioma network as a test case.

BMC systems biology - 25 Feb 2010

Karlebach Guy, Shamir Ron

Abstract excerpt

BACKGROUND: Mathematical modeling of biological networks is an essential part of Systems Biology. Developing and using such models in order to understand gene regulatory networks is a major challenge. RESULTS: We present an algorithm that determines the smallest perturbations required for manipulating the dynamics of a network formulated as a Petri net, in order to cause or avoid a specified phenotype. By...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Brain Neoplasms
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Genetic Engineering

Share to Glioma

Share to Models, Genetic

Share to Neoplasm Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 20184733
DOI: 10.1186/1752-0509-4-15
PMCID: PMC2851584

Genes

GSTP1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Minimally perturbing a gene regulatory network to avoid a disease phenotype: the glioma network as a test case.PMID 20184733Read ↗

Gene perturbation and intervention in probabilistic Boolean networks.Semantic proximity Read ↗

Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty.Semantic proximity Read ↗

Intervention in gene regulatory networks with maximal phenotype alteration.Semantic proximity Read ↗

Static network structure can be used to model the phenotypic effects of perturbations in regulatory networks.Semantic proximity Read ↗

How to understand the cell by breaking it: network analysis of gene perturbation screens.Semantic proximity Read ↗

Growing genetic regulatory networks from seed genes.Semantic proximity Read ↗

Boolean network model for cancer pathways: predicting carcinogenesis and targeted therapy outcomes.Semantic proximity Read ↗

Cancer mutationscape: revealing the link between modular restructuring and intervention efficacy among mutations.Semantic proximity Read ↗

Conceptual and computational framework for logical modelling of biological networks deregulated in diseases.Semantic proximity Read ↗

Reverse control of biological networks to restore phenotype landscapes.Semantic proximity Read ↗

Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models.Semantic proximity Read ↗

Robustness and lethality in multilayer biological molecular networksSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.