iDrug-Target – Web-services for Predicting Drug-target Interaction

iDrug-Target

:: DESCRIPTION

By means of the approach of optimizing training datasets, the webserver iDrug-Target was developed for predicting drug-target interaction. It contains four predictors: iDrug-GPCR, iDrug-Chl, iDrug-Ezy, and iDrug-NR, specialized for indentying the interactions of drug compounds with GPCRs (G protein-coupled receptors), ion channels, enzymes, and NR (nuclear receptors), respectively. Rigorous cross-validations on a set of experiment-confirmed datasets have indicated that these new predictors remarkably outperformed their counterparts in the existing prediction methods.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

J Biomol Struct Dyn. 2014 Dec 16:1-27. [Epub ahead of print]
iDrug-Target: Predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach.
Xiao X1, Min JL, Lin WZ, Liu Z, Cheng X, Chou KC.

GIFT 1.0.0 – Global Optimization-based Inference of Chemogenomic Features from Drug-Target Interactions

GIFT1.0.0

:: DESCRIPTION

GIFT is a C++ package to infer the chemogenomic features from drug-target interactions.

::DEVELOPER

GIFT team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux
  • C++ Compiler

:: DOWNLOAD

 GIFT

:: MORE INFORMATION

Citation

Bioinformatics. 2015 Mar 29. pii: btv181.
Global Optimization-based Inference of Chemogenomic Features from Drug-Target Interactions.
Zu S, Chen T, Li S