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Shiny Web Application for Drug Target Identification with Large-Scale Public Binding Affinities Data

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TargetNet

Powered by large-scale machine learning modeling of public chemogenomics data, TargetNet (Mirror 1, Mirror 2) is a shiny app for predicting the binding probability of 623 potential drug targets for given small molecule(s).

This repository (master branch) contains the source code of the app. The gh-pages branch serves the information pages for the 632 drug targets, which can be accessed from the app itself.

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If you have any questions, please feel free to contact: me@nanx.me.

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Shiny Web Application for Drug Target Identification with Large-Scale Public Binding Affinities Data

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