Monday, June 6, 2011     17:19

Inhibitor Prediction

  KiDoQ (Mtb target)

  GDoQ (Mtb target)

  ABMpred (Mtb target)

  eBooster (Mtb target)

  MDRIpred (Mtb cell)

  CancerIN (Cancer)

  ntEGFR (Cancer EGFR)

  EGFRpred (Cancer EGFR)

  DiPCell (Pancreatic Cancer)

  DMKPred (Human Kinases)

  TLR4HI (Human TLR4)

  HIVFin (HIV)

Antigenic Properties

ADMET Properties

  MetaPred (Cytochrome P450)

  ToxiPred (Aqueous toxicity)

  DrugMint (Drug-like)

  QED (Oral drug-like)

  Format Conversion


If you are using EGFRpred, please cite Singh H, Singh S, Singla D, Agarwal S, and Raghava GPS (2015). QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest. Biology Direct 10, 10.

Welcome to EGFRpred

EGFRpred is a web service for the predicting and designing of inhibitors against EGFR (a cell surface receptor whose overexpression is known to cause cancer). We developed in silico models for discreminating EGFR inhibitors and non-inhibitors. These models has been developed on a dataset contain diverse set of ~3500 molecules whoes anti-EGFR activity has been tested experimentally.

EGFRpred has three models, following is brief description of these modules