DeepSynergy
Overview
DeepSynergy is a Deep Learning model for the prediction of synergy scores. It was trained on more than 22,000 samples based on 39 different cancer cell lines and combinations of 38 different drugs. DeepSynegy significantly outperformed other state-of-the-art machine learning methods.
Within this application DeepSynergy provides predictions for untested drug combinations for a given cell line. The results are displayed in the context of the training data.
Additional Information
DeepSynergy is published here: https://doi.org/10.1093/bioinformatics/btx806
Code is available on github: https://github.com/KristinaPreuer/DeepSynergy
Data is available at our homepage: http://www.bioinf.jku.at/software/DeepSynergy/
Cancer Cell Line
A2058
A2780
A375
A427
CAOV3
COLO320DM
DLD1
EFM192B
ES2
HCT116
HT144
HT29
KPL1
LNCAP
LOVO
MDAMB436
MSTO
NCIH1650
NCIH2122
NCIH23
NCIH460
NCIH520
OCUBM
OV90
OVCAR3
PA1
RKO
RPMI7951
SKMEL30
SKMES1
SKOV3
SW620
SW837
T47D
UACC62
UWB1289BRCA1
UWB1289
VCAP
ZR751
Drug A
Drug A
5-FU
CARBOPLATIN
CYCLOPHOSPHAMIDE
DEXAMETHASONE
DOXORUBICIN
ETOPOSIDE
GEMCITABINE
METFORMIN
METHOTREXATE
MITOMYCINE
OXALIPLATIN
PACLITAXEL
SN-38
TOPOTECAN
VINBLASTINE
VINORELBINE
Drug B
Drug B
5-FU
CARBOPLATIN
CYCLOPHOSPHAMIDE
DEXAMETHASONE
DOXORUBICIN
ETOPOSIDE
GEMCITABINE
METFORMIN
METHOTREXATE
MITOMYCINE
OXALIPLATIN
PACLITAXEL
SN-38
TOPOTECAN
VINBLASTINE
VINORELBINE
predict
Results
Download
We provide all predictions of DeepSynergy as a .csv file.
Download