Network-Based Repurposing
Drug-Disease Network Repurposing Tool for Strategy
It's worth noting that a map of drug disease interactions through biological meshings to identify the potential for shifting on network proximity.
Why Use Our Tool?
Network Proximity Drives Repurposing
In simple terms, 50K+ drugs in human interaction comparatively 20K diseases positioned.
Network distance predicts clinical success.
See Network DocumentationInteractome Integration
Protein-Protein, Drug-Target Networks
250K interactions from 50+ databases reconciled.
One method to solve this is mellow confidence Human interoperability with tissue-specific locution weight makes biologically accurate proximity measures.
Explore Network Data
Proximity Algorithms
Direct, Indirect, Shortest Path Metrics
Network smoothed p-values, permutation testing included.
The evidence clearly shows that several distance measurements compared to clinical solvents show optimum network topology for prediction.
View Proximity MethodsPathway Topology Analysis
Bottleneck Genes and Network Modules
Disease-specific modules auto-detected and ranked.
From a technical perspective, community detection names tenacious disease mechanisms and prioritises drugs modulate hub genes or congestion lieu.
Learn About Topology
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