| Query molecule
SMILES
Molecular Weight
Log P (Crippen method)
HB Acceptor
HB Donor
TPSA
| Results


Physicochemical Property
Property Predicted valuesSuggestions   Meaning & PreferenceReference
LogS (Solubility) log mol/L
( μg/mL)
> 10 μg/ml
  • Optimal: higher than -4 log mol/L
  • <10 μg/mL: Low solubility; 10–60 μg/mL: Moderate solubility; >60 μg/mL: High solubility
  • Book: ISBN: 9787562832287. pp. 14
  • J PHARMACOL TOX MET. 2000, 44 (1), 235−249;
LogD7.4 (Distribution Coefficient D)1~5
  • < 1: Solubility high; Permeability low by passive transcellular diffusion; Permeability possible via paracellular if MW < 200; Metabolism low.
  • 1 to 3: Solubility moderate; Permeability moderate; Metabolism low.
  • 3 to 5: Solubility low; Permeability high; Metabolism moderate to high.
  • > 5: Solubility low; Permeability high; Metabolism high.
  • Methods and principles in medicinal chemistry 18 (pp. 21–45). Weinheim: Wiley-VCH.
LogP (Distribution Coefficient P)0~3
  • Optimal: 0< LogP <3
  • LogP <0: poor lipid bilayer permeability.
  • LogP >3: poor aqueous solubility.
  • Book: ISBN: 3-906390-22-5. pp. 127–182.
Absorption
Property Predicted values   Probability   Suggestions  Meaning & PreferenceReference
Papp (Caco-2 Permeability) cm/s> -5.15 cm/s Optimal: higher than -5.15 Log unit or -4.70 or -4.80
  • J CHEM INF MODEL. 2016, 56 (4), pp 763–773.
Pgp-inhibitor ---
  • The Pgp-inhibitor & non-inhibitor classification criteria refers the reference.
  • J CHEM INF MODEL. 2010. 50(6): p. 1034-1041.
  • J MED CHEM. 2011. 54(6): p. 1740-1751.
Pgp-substrate ---
  • More likely to be a Pgp substrate:
  • N+O ≥ 8; MW > 400; Acid with pKa > 4
  • More likely to be a Pgp non-substrate:
  • N+O ≤ 4; MW < 400; Acid with pKa < 8
  • J DRUG TARGET. 11, 391–406.
HIA (Human Intestinal Absorption) ---
  • ≥30%: HIA+; <30%: HIA-
  • RSC ADV. 2017, 7, 19007-19018
F (20% Bioavailability) ---
  • ≥20%: F20+; <20%: F20-
  • MOL PHARMACEUT, 2011. 8(3): p. 841-851
  • J PHARMACEUT BIOMED, 2008. 47(4): p. 677-682.
F (30% Bioavailability) ---
  • ≥30%: F30+; <30%: F30-
  • MOL PHARMACEUT, 2011. 8(3): p. 841-851
  • J PHARMACEUT BIOMED, 2008. 47(4): p. 677-682.
Distribution
Property Predicted values   Probability   Suggestions  Meaning & PreferenceReference
PPB (Plasma Protein Binding) %90%
  • Significant with drugs that are highly protein-bound and have a low therapeutic index.
  • ISBN: 978-0-1236-9520-8. pp. 194
VD (Volume Distribution) L/kg0.04~20 L/kg
  • Optimal: 0.04-20L/kg;
  • Range:
  • <0.07L/kg: Confined to blood, Bound to plasma protein or highly hydrophilic; 0.07-0.7L/kg: Evenly distributed; >0.7L/kg: Bound to tissue components (e.g., protein, lipid),highly lipophilic.
  • Book: ISBN: 9787562832287. pp. 174
  • Book: ISBN: 978-0-1236-9520-8. pp. 229
BBB (Blood–Brain Barrier) ---
  • BB ratio >=0.1: BBB+; BB ratio <0.1: BBB-
  • These features tend to improve BBB permeation:
  • H-bonds (total) < 8–10; MW < 400–500; No acids.
  • J NEUROCHEM. 70, 1781–1792
Metabolism
Property Predicted values   Probability   Meaning & PreferenceReference
P450 CYP1A2 inhibitor ---
  • Molecules that labeled inhibitor in PubChem BioAssay were regarded as inhibitor.
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP1A2 Substrate ---
  • Molecules that labeled substrate in PubChem BioAssay were regarded as substrate.
  • Characteristics of CYP1A2 substrate: 0.08< LogP <3.61; Planar amines and amides
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP3A4 inhibitor ---
  • Molecules that labeled inhibitor in PubChem BioAssay were regarded as inhibitor.
  • Strategies to Reduce CYP3A4 Inhibition:
  • Decrease the lipophilicity (LogD 7.4); Add steric hindrance to the heterocycle para to the nitrogen; Add an electronic substitution (e.g., halogen) that reduces the pKa of the nitrogen.
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP3A4 substrate ---
  • Molecules that labeled substrate in PubChem BioAssay were regarded as substrate.
  • Characteristics of CYP3A4 substrate: 0.97< LogP <7.54; Large molecules
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
  • ISBN: 978-0-1236-9520-8. pp. 162
P450 CYP2C9 inhibitor ---
  • Molecules that labeled inhibitor in PubChem BioAssay were regarded as inhibitor.
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP2C9 substrate ---
  • Molecules that labeled substrate in PubChem BioAssay were regarded as substrate.
  • Characteristics of CYP2C9 substrate:
  • 0.89< LogP <5.18; Acidic (Nonionized)
  • MOL INFORM. 2011. 30(10): p. 885-895.
  • J CHEM INF MODEL. 2013. 53(12): p. 3373-3383.
  • ISBN: 978-0-1236-9520-8. pp. 162
P450 CYP2C19 inhibitor ---
  • Molecules that labeled inhibitor in PubChem BioAssay were regarded as inhibitor.
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP2C19 substrate ---
  • Molecules that labeled substrate in PubChem BioAssay were regarded as substrate.
  • NAT BIOTECHNOL. 2009, 27(11): 1050-1055.
  • BIOINFORMATICS. 2013, 29(16): 2051-2052.
P450 CYP2D6 inhibitor ---
  • Molecules that labeled inhibitor in PubChem BioAssay were regarded as inhibitor.
  • MOL INFORM. 2011. 30(10): p. 885-895.
  • J CHEM INF MODEL. 2013. 53(12): p. 3373-3383.
P450 CYP2D6 substrate ---
  • Molecules that labeled substrate in PubChem BioAssay were regarded as substrate.
  • Characteristics of CYP2D6 substrate:
  • 0.75< LogP <5.04; Basic (Ionized)
  • MOL INFORM. 2011. 30(10): p. 885-895.
  • J CHEM INF MODEL. 2013. 53(12): p. 3373-3383.
  • ISBN: 978-0-1236-9520-8. pp. 162
Elimination
Property Predicted valuesSuggestions  Meaning & PreferenceReference
T 1/2 (Half Life Time) h > 0.5 h
  • Range: >8h: high; 3h< Cl < 8h: moderate; <3h: low
  • ISBN: 978-0-1236-9520-8. pp. 236
CL (Clearance Rate) mL/min/kg
  • Range: >15 mL/min/kg: high; 5mL/min/kg< Cl < 15mL/min/kg: moderate; <5 mL/min/kg: low
  • ISBN: 978-0-1236-9520-8. pp. 236
Toxicity
Property Predicted values   Probability   Suggestions  Meaning & PreferenceReference
hERG (hERG Blockers) ---
  • Where molecules with IC50 < 40 μM were regarded as blockers.
  • Features may lead to hERG blocker:
    • A basic amine (positively ionizable, pKa >7.3).
    • Hydrophobic/lipophilic substructure(s) (ClogP >3.7).
    • Absence of negatively ionizable groups or oxygen H-bond acceptors.
  • TRENDS PHARMACOL SCI. 2005, 26(3): 119-124
  • ISBN: 978-0-1236-9520-8. pp. 213
  • MOL PHARM. 2016, 13(8):2855–2866
H-HT (Human Hepatotoxicity) ---
  • The H-HT positive(+) & negative(-) classification criteria refers the reference.
  • CHEM RES TOXICOL, 2016, 29(5): 757-767.
AMES (Ames Mutagenicity) ---
  • Ames positive(+) & negative(-): significantly induces revertant colony growth at least in one out of usually five strains, otherwise, negative.
  • J CHEM INF MODEL. 2012, 52(11): 2840-2847.
SkinSen (Skin sensitization) ---
  • Sensitizer & Non-sensitizer: The (r)LLNA experimental value. (r)LLNA: (Reduced) local lymph node assay.
  • TOXICOL APPL PHARM, 2015 , 284 (2) :262-272
LD50 (LD50 of acute toxicity) -log mol/kg
( mg/kg)
> 500 mg/kg
  • Median lethal dose (LD50) usually represents the acute toxicity of chemicals.It is the dose amount of a tested molecule to kill 50 % of the treated animals within a given period.
  • High-toxicity: 1~50 mg/kg; Toxicity: 51~500 mg/kg; low-toxicity: 501~5000 mg/kg.
  • CHEM RES TOXICOL, 2009, 22 (12), pp 1913–1921
  • J CHEMINFORMATICS, 2016 , 8 (1) :6
DILI (Drug Induced Liver Injury) ---
  • The DILI positive(+) & negative(-) classification criteria refers the reference.
  • J CHEM INF MODEL, 2015, 55(10) :2085-2093
FDAMDD (Maximum Recommended Daily Dose) ---
  • The FDAMDD positive(+) & negative(-) classification criteria refers the reference.
  • CHEMOMETR INTELL LAB, 2015, 146:494-502

   Computational Biology & Drug Design Group, School of Pharmaceutical Sciences, Central South University.