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Synergistic drug combination detection software tools | Drug discovery

Recent success in the study of synergistic combinations, such as the use of CHK1 inhibitors in combination with several DNA damaging agents (Rawlinson and Massey, 2014) or of the PARP inhibitor olaparib in combination with the PI3K inhibitor BKM120…
DIGRE
Desktop

DIGRE Drug-Induced Genomic Residual Effect

Predict drug combination effects. DIGRE models the drug response dynamics and…

Predict drug combination effects. DIGRE models the drug response dynamics and gene expression changes after individual drug treatments. It takes into account the sequential effect of the treatment,…

SynGen
Desktop

SynGen

Permits to conduct synergy predictions and not antagonism. SynGen predicts the…

Permits to conduct synergy predictions and not antagonism. SynGen predicts the full compound-pair ranking is not statistically significant, as the algorithm is not designed to predict compound…

RACS
Desktop

RACS Ranking-system of Anti-Cancer Synergy

Predicts the synergistic potential of the available anticancer drugs. RACS…

Predicts the synergistic potential of the available anticancer drugs. RACS improves drug synergy prediction for guiding experimental searching despite of the unclear synergistic mechanism. It aims to…

NLLSS
Algorithm

NLLSS Network-based Laplacian regularized Least Square Synergistic drug combination prediction

Conducts computational ‘screens’. NLLSS integrates several types of information…

Conducts computational ‘screens’. NLLSS integrates several types of information such as known synergistic drug combinations, unlabeled combinations, drug-target interactions, and drug chemical…

DrugComboRanker
Desktop

DrugComboRanker

Predicts drug combinations targeting multiple signaling modules of…

Predicts drug combinations targeting multiple signaling modules of cancer-specific networks. DrugComboRanker selects combinations targeting the alternative and complementary signaling modules of…

NIMS
Desktop

NIMS Network target-based Identification of Multicomponent Synergy

Measures synergistic agent combinations. NIMS addresses the network…

Measures synergistic agent combinations. NIMS addresses the network target-based virtual screen and assesses the synergistic strength of multicomponent therapeutics. It captures the node importance…

PDC-SGB
Algorithm

PDC-SGB Prediction of effective Drug Combinations using a Stochastic Gradient Boosting algorithm

Predicts effective drug combinations. PDC-SGB is based on a stochastic gradient…

Predicts effective drug combinations. PDC-SGB is based on a stochastic gradient boosting algorithm. It integrates biological, chemical and pharmacological information. The method aims to help narrow…

CDA
Web

CDA Combinatorial Drug Assembler

Predicts combinatorial drug candidates that target multiple signaling pathways.…

Predicts combinatorial drug candidates that target multiple signaling pathways. CDA offers 6,100 expression profiles representing 1,309 molecules which were imported from Connectivity Map. It…

DeepSynergy
Web

DeepSynergy

Predicts synergy score and selects novel synergistic drug combinations.…

Predicts synergy score and selects novel synergistic drug combinations. DeepSynergy is a Deep Learning based method that can learn to differentiate several cancer cell lines and detect distinct drug…

DCPred
Desktop

DCPred Drug Combination Predictor

Predicts possible drug combinations. DCPred aims to facilitate the in-silico…

Predicts possible drug combinations. DCPred aims to facilitate the in-silico identification of effective drug combinations and speed up the future discovery process. It was used to predict and rank…

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