| URL: | http://ruben.ucsd.edu/dnet/maps/drugnet |
| Full name: | CANCER DRUG NETWORK MAP: ALL CANCER DRUGS |
| Description: | Multiple targets for each cancer drug along with their experimental effective concentrations or binding activities from multiple sources were collected. Proximity network pharmacology maps of anticancer drugs and targets of those drugs were build. The network maps of cancer drugs and targets as well as all quantified activity data were integrated into a freely available database, CancerDrugMap. |
| Year founded: | 2019 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| Major species: |
NA
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| Keywords: |
| University/Institution: | University of California San Diego |
| Address: | Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093-0747, United States |
| City: | |
| Province/State: | |
| Country/Region: | United States |
| Contact name (PI/Team): | Ruben Abagyan |
| Contact email (PI/Helpdesk): | ruben@ucsd.edu |
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Extended Multitarget Pharmacology of Anticancer Drugs. [PMID: 31025863]
Multitarget pharmacology of small-molecule cancer drugs significantly contributes to their mechanism of action, side effects, and emergence of drug resistance and opens ways to repurpose, combine, or customize drug therapy. In most cases, the set of targets affected at therapeutic concentrations is not fully characterized and/or the interaction efficacy values are not accurately quantified. We collected information about multiple targets for each cancer drug along with their experimental effective concentrations or binding activities from multiple sources. All multitarget activity values for each drug then were used to build two proximity network pharmacology maps of anticancer drugs and targets of those drugs, respectively. Together with the network map, we showed that the majority of the cancer drugs had substantial multitarget pharmacology based on our current knowledge. In addition, most of the cancer drugs simultaneously affect macromolecular targets from different classes and types. The target subset can further be accentuated and personalized by patient sample-specific expression data. The network maps of cancer drugs and targets as well as all quantified activity data were integrated into a freely available database, CancerDrugMap (http://ruben.ucsd.edu/dnet/maps/drugnet.html). The identified multitarget pharmacology of cancer drugs is essential for improving the efficacy of individually prescribed drugs and drug combinations and minimization of adverse effects. |