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 …

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. …

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 …

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 …

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. …

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. …

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 …

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 …

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. …

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.