Protein

Predicting effective drug combinations using gradient tree boosting based on features extracted from drug-protein heterogeneous network

1 month ago   |   By Springer

Abstract
Background
Although targeted drugs have contributed to impressive advances in the treatment of cancer patients, their clinical benefits on tumor therapies are greatly limited due to intrinsic and acquired resistance of cancer cells against such drugs. Drug combinations synergistically interfere with protein networks to inhibit the activity level of carcinogenic genes more effectively, and therefore play an increasingly important role in the treatment of complex disease.
Results
In this paper, we combined the drug similarity network, protein similarity network and known...
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Editorial focus: understanding off-target effects as the key to successful RNAi therapy

1 month ago   |   By Springer

Abstract
With the first RNA interference drug ) on the market, we witness the RNAi therapy field reaching a critical turning point, when further improvements in drug candidate design and delivery pipelines should enable fast delivery of novel life changing treatments to patients. Nevertheless, ignoring parallel development of RNAi dedicated in vitro pharmacological profiling aiming to identify undesirable off-target activity may slow down or halt progress in the RNAi field. Since academic research is currently fueling the RNAi development pipeline with new therapeutic options, the...
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