St. Jude Research

Query Molecule Profile Results

Molecule: 6

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Bioactive Database Search Results

Bioactive TanSim Source ActClass Action LitRef Annotations
2 1.000 MCSR2004 Natural product NULL NULL MOLNAME: DIACETYLDIDEISOVALERYL-RHODOMYRTOXIN
SN: 2717
ID: 00211118
4 0.532 MCSR2004 Natural product Occurrence: Rhodomyrtus macrocarpa J Chem Soc 1957: 444; 1983: 231 MOLNAME: RHODOMYRTOXIN
SN: 538978244
ID: 01504034
1 1.000 MCSRBASC Bioactive NULL NULL MOLNAME: DIACETYLDIDEISOVALERYL-RHODOMYRTOXIN
ID: 00211118
3 0.532 MCSRBASC Bioactive NULL J Chem Soc 1957: 444; 1983: 231 MOLNAME: RHODOMYRTOXIN
ID: 01504034
ORIGIN: ex Rhodomyrtus macrocarpa

Toxicity Database Search Results

ToxicMol TanSim Source ActClass Action LitRef Annotations
NO HITS

Available Compounds Database Search

Available SimTan Source Category SuppID PlateID Well Annotations
1 1.000 BASC ScreenEntirePlates AB-00130021:BATCH-01 01821MS G05 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
3 0.532 BASC ScreenEntirePlates AB-00131443:BATCH-01 01840MS A05 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
2 1.000 MCSR CherryPickable 00211118 NA NA COMPANY: Microsource
MOLNAME: DIACETYLDIDEISOVALERYL-RHODOMYRTOXIN
SN: 2717
4 0.532 MCSR CherryPickable 01504034 NA NA COMPANY: Microsource
MOLNAME: RHODOMYRTOXIN
SN: 538978244

ADME Profiler (v1.5) Results

Probe ID ADME Score Reflects the weighted contribution of all the ADME models except BBB; a molecule with a low score is more likely to be orally bioavailable and less toxic Lip. Viols. REOS Flags Int. Perm. Intestinal Permeability Model ADMET Aq. Sol. TETKO Aq. Sol. BBB Model Blood Brain Barrier Penetration Model Plasma Protein Binding CYP 2D6 Inh. Hep Tox Oprea Viols. Ghose Viols. S.F. Flags Suspect Feature Flag
6

2.0

NONE

NONE

Mod. Passive Int. Perm.

Moderate Solubility:(LogSw =-3.88 mol/L)

Moderate Solubility:(LogSw =-2.60 mol/L)

Undefined (outside Confidence Range)

High Plasma Protein Binding (>=95%)

Unlikely CYP2D6 Inh: (P=0.33)

Likely Hep. Toxin: (P=0.81)

Failed Oprea H-bond Donors (Count = 4)

Failed 1 of 4 Rules

NONE

NONE


ADME Model Information

  • Lipinski Violations: (1) MW > 500,  (2) Num_H_Accs > 10,  (3) Num_H_Donors > 5, (4) AlogP > 6; (ref: Lipinski et al, Advanced Drug Delivery Reviews 46, 2001, 3–26)
  • REOS Features: Structures deemed inappropriate for HTS; (ref: Rishton, Drug Discovery Today, 2, 9, Sept 1997; M. Hann et al.  J. Chem. Inf. Comput. Sci. 39, 1999, 897–902.; Walters et al, Advanced Drug Delivery Reviews 54, 2002, 255–271; consultations with Medicinal Chemists)
  • Intestinal Permeability Model (%Abs): (a) 0 = Very Low Absorption; (b) 1 = Low Absorption; (c) 2 = Moderately absorbed; (d) 3 = Well absorbed (>90%); (ref: Egan et al, J. Med. Chem. 2000,43, 3867–3877; Egan, W.J., Lauri, G., Adv. Drug Del. Rev., 54, 273, 2001)
  • ADMET Solubility Model (Log mol/L): (a) 0 = Extremely Low Solubility (<-8.0); (b) 1 = Very Low Solubility (-8.0 – -6.0); (c) 2 = Low Solubility (-6.0 – -4.0); (d) 3 = Moderate Solubility (-4.0 – -2.0); (e) 4 = Optimal Solubility (-2.0 – 0.0); (f) 5 = Very Soluble (>0.0); (g) 6 = Undefined; (ref: Cheng, A. and Merz, Jr., K. "Prediction of aqueous solubility of a diverse set of compounds using quantitative structure-property relationships," J. Med. Chem. 2003, 46, 3572–3580).
  • TETKO Solubility Model (Log mol/L): (a) 0 = Extremely Low Solubility (<-8.0); (b) 1 = Very Low Solubility (-8.0 – -6.0); (c) 2 = Low Solubility (-6.0 – -4.0); (d) 3 = Moderate Solubility (-4.0 – -2.0), (e) 4 = Optimal Solubility (-2.0 – 0.0); (f) 5 = Very Soluble (>0.0); (ref: Scitegic's Pipeline Pilot model based on Tetko et al.,J Chem Inf. Comput. Sci, 2001, 41, 1488–1493, "Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices)
  • Blood Brain Barrier (BBB) Permation: (a) 0 = Undefined; (b) 1 = Outside Confidence Range; (c) 2 = Low Permation (Blood:Brain > 0.3); (d) 3 = Medium Permation (Blood:Brain 0.3 > 1:1); (e) 4 = High Permeation Brain:Blood 1:1 > 5:1); (f) 5 = Very High Permation (Blood:Brain > 5:1); (ref: Accelrys Proprietary model);
  • Plasma Protein Binding (PPB): (a) 0 = <90%; (b) 1 = >=90%, (c) 2 = >95%; (ref: Dixon, S.L. and Merz, K.M.M., Jr. "One-Dimensional Molecular Representations and Similarity Calculations: Methodology and Validation," J. Med. Chem., 2001, 44, 3795–3809.)
  • CYP 2D6 Inhibition: (a) 0 = Non-Inhibitor; (b) 1 = Inhibitor; (ref: Dixon, S.L., Villar, H.O., J. Comput. Aided Mol. Design, 13, 533 (1999).; Susnow, R.G., Dixon, SL, "Use of robust classification techniques for the prediction of human cytochrome P450 2D6 inhibition," J. Chem. Inf. Comput. Sci., 2003, 43, 1308–1315)
  • Hepatotoxicity: (a) 0 = Not Toxic; (b) 1 = Toxic; (ref: Dixon, SL; Villar, H.O., J. Comput. Aided Mol. Design, 13, 533 (1999); Cheng, A. and Dixon, SL In silico models for the prediction of dose-dependent human hepatotoxicity, J. Comput. Aided Mol. Design, 17, 811–823. (2003));
  • Ghose Violations: (1) -0.4 <= AlogP <= 5.6, (2) 160 <= MW <= 480, (3) 40 <= MR <= 130, (4) 20 <= Num_Atoms <= 70; (ref: A.K. Ghose et al, J. Comb. Chem. 1, 1999, 55–67)
  • Oprea Violations: (1) Num_H_Donors > 2, (2) 2 <= Num_H_Accs <= 9, (3) 2 <= Num_RBs <= 8, (4) 1 <= Num_Rings <= 4; (ref: Oprea, Journal of Computer-Aided Molecular Design, 14: 251–264, 2000)
  • Suspect Substructure Violations: Compounds gleamed from medicinal chemistry literature that are known to be problematic for developing drug candidates