GDoQ
                Prediction of GLMU inhibitors using QSAR and AutoDock

               Home     |     Submit     |     Algorithm     |     Developer      |      Help     |     Contact



Home OSCADD
Inhibitor Prediction

  KiDoQ
  GDoQ
  KetoDrug
  DMKPred
  TLR4HI
  ABMpred
  eBooster
  MDRIpred
  HIVFin
  MetaServer (Comming Soon)

Antigenic Properties

  Carbotope
ADMET Properties

  MetaPred
  ToxiPred
  DrugMint
  QED
  MetaServer (Comming Soon)
Descriptors

  Format Conversion
  WebCDK
  MetaServer
      GDoQ: Prediction of GLMU inhibiotors using QSAR and Docking
1. Compound Information

In the submission form we have provided the option for user to either a) draw chemcial structure or b) paste/upload structure file in either mol or mol2 format.



2. Prediction Approach :

GDoQ is a web-server specially trained for the IC50 value prediction of chemical compounds in M.tuberculosis Glmu protein. For prediction we have calculated the descriptors from different software and selection of the descriptors by Weka and take those input features as the input of Multiple Linear Regression (MLR) for model development. This model will predict the inhibitory activity of the new chemical entity and also helping in finding new molecule by generating analogs of known inhibitors that shows good inhibitory activity.



Institute of Microbial Technology