Network pharmacology-based prediction of multi-targeted drug combinations is becoming a promising strategy to improve anticancer efficacy and safety. Source text: He et al., 2015.

TarNet
Data

TarNet

A manually curated database and platform of traditional medicinal plants with…

A manually curated database and platform of traditional medicinal plants with natural compounds that includes potential bio-target information. We gathered information on proteins that are related to…

systemsDock
Web

systemsDock

A web service enabling drug developers to carry out network pharmacology-based…

A web service enabling drug developers to carry out network pharmacology-based prediction and analysis by integrating results from structural biology with systems biology. Its user-friendly GUI…

C(2)Maps
Data

C(2)Maps

An online bioinformatics resource that provides biologists with directional…

An online bioinformatics resource that provides biologists with directional relationships between drugs and genes/proteins in specific disease contexts based on network mining, literature mining, and…

TIMMA-R
Desktop

TIMMA-R Target Inhibition Interaction using Maximization/Minimization Averaging

A logic-based network algorithm that predicts the effects of drug combinations…

A logic-based network algorithm that predicts the effects of drug combinations based on their binary drug-target interactions and single-drug sensitivity profiles in a given cancer sample. Extensions…

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