Published July 9, 2024 | Version TerDA

shenxj9/TerDA: TeroACT: Constructing terpenoid-bioactivity knowledge graph for drug discovery

Authors/Creators

Description

  • Terpenoid-disease association (TerDA) prediction model as an effective prioritization tool for screening potential disease associations, and facilitating follow-up studies such as drug repositioning and the prediction of new indications for terpenoids.

  • This repository contains the source code ,the data and trained models.

Files

shenxj9/TerDA-TerDA.zip

Files (335.2 MB)

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md5:6dafe9605c948d26c80efaa3680ea5ba
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Additional details

Related works

Is supplement to
Software: https://github.com/shenxj9/TerDA/tree/TerDA (URL)