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

A probabilistic approach to identify putative drug targets in biochemical networks.

Journal of the Royal Society, Interface - 6 Jun 2011

Murabito Ettore, Smallbone Kieran, Swinton Jonathan, Westerhoff Hans V, Steuer Ralf

Abstract excerpt

Network-based drug design holds great promise in clinical research as a way to overcome the limitations of traditional approaches in the development of drugs with high efficacy and low toxicity. This novel strategy aims to study how a biochemical network as a whole, rather than its individual components, responds to specific perturbations in different physiological conditions. Proteins exerting little control...

Read the complete abstract on PubMed

Topics

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

Share to Carbon
Share to Drug Delivery Systems
Share to Drug Design

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Kinetics

Share to Metabolic Networks and Pathways

Share to Models, Statistical

Share to Monte Carlo Method

Share to Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 21123256
DOI: 10.1098/rsif.2010.0540
PMCID: PMC3104352

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A probabilistic approach to identify putative drug targets in biochemical networks.PMID 21123256Read ↗

Metabolic control analysis in drug discovery and disease.Semantic proximity Read ↗

Chemical kinetic mechanistic models to investigate cancer biology and impact cancer medicine.Semantic proximity Read ↗

A Mechanistic Model for Genome-Scale Estimations of Metabolic ActivitySemantic proximity Read ↗

BayFlux: A <i>Bay</i> esian method to quantify metabolic <i>Flux</i> es and their uncertainty at the genome scaleSemantic proximity Read ↗

A network-based approach for predicting key enzymes explaining metabolite abundance alterations in a disease phenotype.Semantic proximity Read ↗

Network-based approaches for analysis of complex biological systems.Semantic proximity Read ↗

In silico dynamic molecular interaction networks for the discovery of new therapeutic targets.Semantic proximity Read ↗

Computation of single-cell metabolite distributions using mixture modelsSemantic proximity Read ↗

A novel knowledge-driven systems biology approach for phenotype prediction upon genetic intervention.Semantic proximity Read ↗

Sensitivity analysis for studying the relation between biochemical reactions and metabolic phenotypes.Semantic proximity Read ↗

Stoichiometric Representation of Gene-Protein-Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype Prediction.Semantic proximity Read ↗

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

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