
APORC Document Center: PreDR
Here, we propose a novel method, named PreDR (Predict Drug Repositioning), to integrate chemical structures, target proteins, and side-effects to infer new diseases for existing drugs …
Drug Repositioning by Kernel-Based Integration of Molecular
2013年11月11日 · Here, we propose a new method for drug repositioning, PreDR (Predict Drug Repositioning), to integrate molecular structure, molecular activity, and phenotype data. …
About SuperPred
Target prediction for an input compound can be executed at the Target-Prediction site. The ATC-Tree offers a browsable overview over all ATC categories and codes from the WHO, including …
LRSSL: predict and interpret drug–disease ... - Oxford Academic
2017年1月17日 · PreDR (Wang et al., 2013) utilizes kernel fusion to integrate chemical similarity, target protein similarity, side effect similarity and disease similarity information of known …
(PDF) Drug Repositioning by Kernel-Based Integration of …
2013年12月13日 · Here, we propose a new method for drug repositioning, PreDR (Predict Drug Repositioning), to integrate molecular structure, molecular activity, and phenotype data. …
[PDF] Drug Repositioning by Kernel-Based Integration of …
2013年11月11日 · Here, we propose a new method for drug repositioning, PreDR (Predict Drug Repositioning), to integrate molecular structure, molecular activity, and phenotype data. …
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I'm Predrag and this site is my playground. I mostly play around with compilers and query systems, most recently for finding and preventing bugs across system boundaries and in …
An explainable framework for drug repositioning from disease ...
2022年10月28日 · Wang et al. [22] proposed a framework, called PreDR, for drug repositioning, which calculated the similarity between drug-disease pairs through the constructed kernel …
Drug Repositioning by Kernel-Based Integration of Molecular …
2013年11月11日 · Here, we propose a new method for drug repositioning, PreDR (Predict Drug Repositioning), to integrate molecular structure, molecular activity, and phenotype data. …
The summary of our method: PreDR. Subfigure A: The
We design a novel algorithm, named PreDR, to predict drug repositioning by associating known drugs with potential disease labels based on kernel fusion of heterogenous data sources.
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