“PPIM-IC50Pred”, a Support vector Machine (SVM) based regression approach to predict the IC50 values (nM) of small molecule Protein-Protein Interaction Modulators (PPIMs) as the therapeutic activity targeting to Any PPIs, Mdm2/P53 and Bcl2/Bak.

SVM based method
Fill up all the fields: (* marking fields are mandatory )
Users can get values of Physico-chemical properties of various chemicals directly from PubChem (Example :
Nutlin-3a (11433190) is one of well known and clinicaly tested PPIM that can inhibit the target PPI Mdm2/P53 )
Input Pubchem ID/CID (optional)
MW* XlogP3* H.B.D* H.B.A* R.B.C*
T.P.S.A* H.A.C* Complexity* D.A.S.C* D.B.S.C*
C.B.U.C*                
SVM based Target Selection * Any PPI Mdm2/P53 Bcl2/Bak
                   
For Batch Input Click for Batch Submission
                   
 

Note:


* Field should not be empty.
  MW
: Molecular Weight [ Min: 57 g/mol & Max: 1200 g/mol].   XlogP3: [MIN: -4.0 & Max 15.6]. H.B.D : Hydrogen Bond Donor [Min: 0 & Max: 25]. H.B.A : Hydrogen Bond Acceptor [Min: 0 & Max: 46]. R.B.C: Rotatable Bond Count [Min: 0 & Max: 39]. T.P.S.A. : Topological Surface Area [Min: 0 Å & Max:778 Å]. H.A.C: Heavy Atom Count [Min: 3 & Max: 122]. Complexity: Complexity [Min: 0 & Max: 3570]. D.A.S.C: Defined Atom Stereo Count [Min: 0 & Max: 19]. D.B.S.C: Defined Bond Stereo Count[ Min: 0 & max: 3]. C.B.U.C : Co-valently-bonded Unit Count [Min: 1 & Max:8].

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For queries please contact Dr. Sudipto Saha (ssaha4@jcbose.ac.in, ssaha4@gmail.com)

Last updated on 14th June, 2019

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