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 Known Drug - Indications/Usage: Antiinfective (1)
NA CBNKID: 892
MOLNAME: acriflavinium
SOLUBILITY: DMSO
CAS: 8063-24-9
VENDOR: MicroSource 1500618
NINDS 1500618

9 1.000 CMCR2004 Antiseptic Antiseptic (1) A. Albert, 'The Acridines', St. Martins Press, NY, 2nd ed., 1966. ChemicalName: ACRIFLAVINIUM CHLORIDE
LogP: -0.49
CommericalSource: Corina 2.62
pKa: NA
CAS: 8048-52-0
4 1.000 MCSR2004 Anti-Cancer/Antiproliferative Anti-infective; intercalating agent: interferes with DNA transcription and replication NULL MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
SN: 9
ID: 01500618
5 1.000 MCSR2004 Bioactive Standard Therap cat: Anti-infective; intercalating agent: interferes with DNA transcription and replication NULL MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
SN: 538985286
ID: 01500618
6 1.000 MCSR2004 Cytotoxic agent intercalating agent: interferes with DNA transcription and replication NULL MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
SN: 1210818
ID: 01500618
2 1.000 MCSRBASC Bioactive antiinfective, intercalating agent NULL MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
ID: 01500618
3 1.000 MCSRBASC Bioactive antiinfective, intercalating agent NULL MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
ID: 01500618
7 1.000 MDDR2004 Antiviral (AIDS) NULL NULL ChemicalName: 163882
TestingPhase: Biological Testing
CommericalSource: INSERM
PatentNumber: NA
CAS: NA
8 1.000 MDDR2004 Antiviral (AIDS) ACTION - Antiviral agent with antiretroviral activity, Mathe, G. et al. 9th Int Symp Fut Trends Chemother (March 26-28, Geneva) 1990, 2 . ChemicalName: ACRIFLAVINE
TestingPhase: Phase I
CommericalSource: Debiopharm
INSERM
PatentNumber: NA
CAS: 8048-52-0

Toxicity Database Search Results

ToxicMol TanSim Source ActClass Action LitRef Annotations
1 1.000 NCIC2004 Sub-micromolar growth inbihition activity on 9 NCI Panel(s)
No cytotoxic activity on 9 NCI Panels
Sub-micromolar cytostatic activity on 1 NCI Panel(s)
Non-Small Cell Lung_GI_Mean: 6.56 (0.25,9)
Colon_GI_Mean: 6.63 (0.26,7)
Breast_GI_Mean: 6.25 (0.12,8)
Ovarian_GI_Mean: 6.28 (0.33,6)
Leukemia_GI_Mean: 6.62 (0.11,6)
Renal_GI_Mean: 6.46 (0.34,8)
Melanoma_GI_Mean: 6.22 (0.29,8)
Prostate_GI_Mean: 6.36 (0.12,2)
Central Nervous System_GI_Mean: 6.34 (0.16,6)
Leukemia_TG_Mean: 6.02 (0.19,4)
NA MOLNAME: 689003

Available Compounds Database Search

Available SimTan Source Category SuppID PlateID Well Annotations
1 1.000 BASC ScreenEntirePlates AB-00130652:BATCH-02 01845MS D03 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
2 1.000 BASC ScreenEntirePlates AB-00130652:BATCH-01 01829MS G07 COMPANY: Bay Area Screening Center
INFO: Microsource 96 well plate
3 1.000 MCSR CherryPickable 01500618 NA NA COMPANY: Microsource
MOLNAME: ACRIFLAVINIUM HYDROCHLORIDE
SN: 538985286
4 1.000 SGSA CherryPickable R580422 NA NA COMPANY: Sigma SALOR
COLLECTION: Screening Set
MW: 224.29
PURITY: 95
SHIPWIN: 7
5 1.000 TCRS CherryPickable ST011984 NA NA COMPANY: Tocris
COLLECTION: Screening Set
MW: 224.29
PURITY: 90
SHIPWIN: 10

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

2.8

NONE

NONE

Good Passive Int. Perm.

Moderate Solubility:(LogSw =-3.18 mol/L)

Low Solubility:(LogSw =-4.33 mol/L)

Moderate BBB Penetration: (LogBBB =-0.47)

Moderate Plasma Protein Binding (>=90%)

Likely CYP2D6 Inh: (P=0.73)

Likely Hep. Toxin: (P=0.97)

Failed Oprea RBs (Count = 0)

Failed 1 of 4 Rules

Outside Ghose Optimal # Atoms (Count = 17)

Failed 1 of 4 Rules

Aniline_like

1 SF Flag(s)


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