St. Jude Research

Query Molecule Profile Results

Molecule: 1

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Bioactive Database Search Results

Bioactive TanSim Source ActClass Action LitRef Annotations
1 1.000 CBNK2005 bioactive 5HT Antagonist (2)
Known Drug - Indications/Usage: Analgesic, antipyretic (1)
Beretta, C. 1965
CBNKID: 910
MOLNAME: metergoline
SOLUBILITY: DMSO
CAS: 17692-51-2
VENDOR: MicroSource 300565
NINDS 300565

7 1.000 CMCR2004 Antipyretic Antipyretic (2) Camerino et al., U.S. Pat. 3 238 211 (1966). ChemicalName: METERGOLINE
LogP: 4.33
CommericalSource: Farmitalia, Italy
pKa: NA
CAS: 17692-51-2
9 0.485 CMCR2004 Dopamine receptor antagonist Dopamine receptor antagonist (1) Life Sci., 1981, 29, 2227. ChemicalName: MESULERGINE
LogP: 1.53
CommericalSource: Sandoz, Switz.
pKa: NA
CAS: 64795-35-3
10 0.455 CMCR2004 Antispasmodic Antispasmodic NULL ChemicalName: METOQUIZINE
LogP: 3.19
CommericalSource: Lilly
pKa: NA
CAS: 7125-67-9
5 1.000 LPAC2004 Serotonin Antagonist 5-HT1/5-HT2 Serotonin receptor antagonist; analgesic; antipyretic NA MOLNAME: Metergoline
CATNUM: M 3668
8 0.568 LPAC2004 Dopamine Agonist Dopaminergic receptor agonist exhibiting antiparkinsonian activity; 5-HT2C serotonin receptor antagonist NA MOLNAME: Mesulergine hydrochloride
CATNUM: M-153
4 1.000 MCSR2004 Bioactive Standard Therap cat: analgesic, antipyretic NULL MOLNAME: METERGOLINE
SN: 538977391
ID: 00300565
3 1.000 MCSRBASC Bioactive analgesic, antipyretic NULL MOLNAME: METERGOLINE
ID: 00300565
CAS: 17692-51-2
6 1.000 MDDR2004 Antimigraine NULL NULL ChemicalName: METERGOLINE
TestingPhase: Launched
CommericalSource: Pharmacia
PatentNumber: NA
CAS: 17692-51-2
11 0.430 MDDR2004 Cognition Disorders, Agent for NULL NULL ChemicalName: 142896
TestingPhase: Biological Testing
CommericalSource: Pfizer
PatentNumber: EP 251652;19880107
JP 88022577;19880130
CAS: NA
2 1.000 TCRS2005 Serotonergic 5-HT2 antagonist. Also 5-HT1 antagonist and 5-HT1D ligand. Has moderate affinity for 5-HT6 and high affinity for 5-HT7 NA MOLNAME: Metergoline phenylmethyl ester
CATNUM: 0590

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-00129962:BATCH-01 01821MS A04 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
2 1.000 MCSR CherryPickable 00300565 NA NA COMPANY: Microsource
MOLNAME: METERGOLINE
SN: 538977391
5 0.607 SGSA CherryPickable R736643 NA NA COMPANY: Sigma SALOR
COLLECTION: Screening Set
MW: 270.37
PURITY: 95
SHIPWIN: 7
6 0.515 SGSA CherryPickable R948470 NA NA COMPANY: Sigma SALOR
COLLECTION: Screening Set
MW: 368.52
PURITY: 95
SHIPWIN: 7
7 0.414 SGSA CherryPickable R948640 NA NA COMPANY: Sigma SALOR
COLLECTION: Screening Set
MW: 382.55
PURITY: 95
SHIPWIN: 7
3 1.000 TCRS CherryPickable ST056348 NA NA COMPANY: Tocris
COLLECTION: Screening Set
MW: 403.52
PURITY: 90
SHIPWIN: 10
4 1.000 TCRS CherryPickable 0590 NA NA COMPANY: Tocris
COLLECTION: Screening Set
MOLNAME: Metergoline phenylmethyl ester
ACTIVITY: CherryPickable
SOLVENT: DMSO

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
1

1.0

NONE

NONE

Good Passive Int. Perm.

Low Solubility:(LogSw =-5.83 mol/L)

Very Low Solubility:(LogSw =-6.21 mol/L)

High BBB Penetration: (LogBBB =0.40)

Moderate Plasma Protein Binding (>=90%)

Unlikely CYP2D6 Inh: (P=0.45)

Unlikely Hep. Toxin: (P=0.25)

Failed Oprea # Rings (Count = 5)

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