May 20, 2021 · For this reason, deliberately introducing anti-fibrosis characteristics into predictive modeling may lead to more success in drug repositioning.
Jun 22, 2020 · The repositioning scores ranges from 0 to 1 and higher score indicates higher potential. If repositioning score is ≥0.5 (the probability of ...
Mar 31, 2020 · For this reason, deliberately introducing anti-fibrosis characteristics into modelling may lead to more success in drug repositioning. In this ...
We developed repositioning prediction platform, drug repositioning based on anti-fibrosis characteristic that is freely accessible.
DR AFC determined that the molecule Quercetin and the natural compounds of turmeric and curcumin could have potential anti-fibrotic properties based on the ...
For this reason, deliberately introducing anti-fibrosis characteristics into modelling may lead to more success in drug repositioning. In this study, anti- ...
Dingfeng Wu is a post-doc fellow at Tongji University, Shanghai, China. His current research interests include machine learning and drug repositioning.
Dr AFC: Drug Repositioning based on Anti-Fibrosis Characteristic Structural Profile Prediction Model Biological Profile Prediction Model
For this reason, deliberately introducing anti-fibrosis characteristics into predictive modeling may lead to more success in drug repositioning. In this study, ...
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A comprehensive, freely accessible platform aimed for Drug Repositioning that is based on anti-fibrosis characteristic and a virtual Knowledge Base.