St. Jude Research

Query Molecule Profile Results

Molecule: 48

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Bioactive Database Search Results

Bioactive TanSim Source ActClass Action LitRef Annotations
6 0.912 CBNK2005 bioactive Known Drug - Indications/Usage: Polyether antibiotic; ionophoric; coccidiostat (1)
shows anti-HIV activity (2)
Nakamura, M. 1992
CBNKID: 1383
MOLNAME: salinomycin
SOLUBILITY: DMSO
CAS: 53003-10-4
VENDOR: MicroSource 1503602
NINDS 1503602

8 0.785 CBNK2005 bioactive antibiotic (2)
cell membrane permeability inhibitor (2)
NA CBNKID: 2190
MOLNAME: narasin
VENDOR: Sigma-Aldrich N1271

5 1.000 CMCR2004 Coccidiostat Coccidiostat (3) M.D. Lewis, Diss. Abstr. Instr. Int. B., 44, 1829. ChemicalName: SALINOMYCIN
LogP: 8.53
CommericalSource: Corina 2.62
pKa: NA
CAS: 53003-10-4
7 0.800 CMCR2004 Growth promoter (veterinary) Growth promoter (veterinary) (2) M.D. Ruff et al., Poultry Sci., 1980, 59, 2008. ChemicalName: NARASIN
LogP: 8.94
CommericalSource: Lilly (Monteban)
pKa: NA
CAS: 55134-13-9
3 1.000 MCSR2004 Bioactive Standard antibiotic ex Streptomyces albus J Antibiotics 27: 814 (1954) MOLNAME: SALINOMYCIN, SODIUM
SN: 538977662
ID: 01503602
4 1.000 MCSR2004 Cytotoxic agent coccidiostat, membrane disruptor J Antibiotics 27: 814 (1954) MOLNAME: SALINOMYCIN, SODIUM
SN: 130
ID: 01503602
1 1.000 MCSRBASC Bioactive antibiotic J Antibiotics 27: 814 (1954) MOLNAME: SALINOMYCIN, SODIUM
ID: 01503602
CAS: 53003-10-4 [salinomycin]
ORIGIN: ex Streptomyces albus
2 1.000 MCSRBASC Bioactive antibiotic J Antibiotics 27: 814 (1954) MOLNAME: SALINOMYCIN, SODIUM
ID: 01503602
CAS: 53003-10-4 [salinomycin]
ORIGIN: ex Streptomyces albus

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-00129926:BATCH-02 01845MS F09 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
2 1.000 BASC ScreenEntirePlates AB-00129926:BATCH-01 01820MS E08 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
3 1.000 MCSR CherryPickable 01503602 NA NA COMPANY: Microsource
MOLNAME: SALINOMYCIN, SODIUM
SN: 538977662
4 0.800 MCSR CherryPickable 01502035 NA NA COMPANY: Microsource
MOLNAME: NARASIN
SN: 538980253

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
48

8.8

High Molecular Weight (MW = 751)

Too Many H-bond Accs (Count = 11)

High Lipophilicity (AlogP = 5.90)

Failed 3 of 4 Rules

~a_subst_C=O

1 REOS Flag(s)

Very Low Passive Int. Perm.

Low Solubility:(LogSw =-5.09 mol/L)

Extremely Low Solubility:(LogSw =-8.20 mol/L)

Undefined (outside Confidence Range)

High Plasma Protein Binding (>=95%)

Unlikely CYP2D6 Inh: (P=0.28)

Unlikely Hep. Toxin: (P=0.49)

Failed Oprea H-bond Donors (Count = 4)

Failed Oprea H-bond Acceptors (Count = 11)

Failed Oprea RBs (Count = 12)

Failed Oprea # Rings (Count = 5)

Failed 4 of 4 Rules

Outside Ghose Optimal AlogP (AlogP = 5.90)

Outside Ghose Optimal MW (MW = 751)

Outside Ghose Optimal MR (MR = 200)

Failed 3 of 4 Rules

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