Natural Product: NPC59907

Natural Product IDNPC59907
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 Hydrocotarnine
IUPAC Name 4-methoxy-6-methyl-7,8-dihydro-5H-[1,3]dioxolo[4,5-g]isoquinoline
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1606295
PubChem CID 3646
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0002955] Tetrahydroisoquinolines

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey XXANNZJIZQTCBP-UHFFFAOYSA-N
Standard InCHI InChI=1S/C12H15NO3/c1-13-4-3-8-5-10-12(16-7-15-10)11(14-2)9(8)6-13/h5H,3-4,6-7H2,1-2H3/p+1
SMILES C[NH+]1CCc2cc3c(c(c2C1)OC)OCO3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   221.11 Volume:   219.897
?
Van der Waals volume.
Dense:   1.006 LogP:   1.184
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.068
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -1.22
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   15.0
TPSA:   30.93
?
Topological Polar Surface Area.
 H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.717 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.533 Fsp3:   0.5
MCE-18:   36.667
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
 Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.097 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.459
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.29
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.172 Promiscuous compounds:   0.369

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.642 MDCK Permeability:   -4.744
Pgp-inhibitor:   0.043 Pgp-substrate:   0.083
PAMPA:   0.082
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
 Human Intestinal Absorption (HIA):   0.001
20% Bioavailability (F20%):   0.011 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.57

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.995 MRP1:   0.91
Plasma Protein Binding (PPB):   52.699% Volume Distribution (VD):   0.409
Fu: 45.356%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.764
OATP1B3 inhibitor:   0.806 BCRP inhibitor:   0.051
BSEP inhibitor:   0.958

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.908 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.06
CYP3A4-inhibitor:   0.858 CYP3A4-substrate:   0.351
CYP2B6-substrate:   0.994 CYP2C8-inhibitor:   0.0
HLM stability:   0.044
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  8.93 Half-life (T1/2):  2.924

ADMET: Toxicity

hERG Blockers:  0.423 hERG Blockers (10um):  0.624
Human Hepatotoxicity (H-HT):  0.627 Drug-induced Liver Injury (DILI):  0.25
AMES Toxicity:  0.557 Rat Oral Acute Toxicity:  0.677
Maximum Recommended Daily Dose:  0.624 Skin Sensitization:  0.769
Carcinogencity:  0.841 Eye Corrosion:  0.261
Eye Irritation:  0.602 Respiratory Toxicity:  0.931
Drug-induced Neurotoxicity:  0.825 Ototoxicity:  0.305
Hematotoxicity:  0.535 Drug-induced Nephrotoxicity:  0.51
Genotoxicity:  0.784 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.109 Hek293 Cytotoxicity:  0.258
BCF:   1.444
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
 IGC50:   3.343
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.065
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.91
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. DOI[10.1042/BA20020118]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. DOI[10.1556/abot.45.2003.3-4.15]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[15019787]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[23517479]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[37685099]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10176 Chrozophora prostrata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7312 Aplidium multiplicatum Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2466 Aloe microstigma Species Asphodelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Latex Exudate n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO31048 Papaver sommiferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12265 Aquilaria agallochum Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10176 Chrozophora prostrata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2466 Aloe microstigma Species Asphodelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7312 Aplidium multiplicatum Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
☉ UNPD: Universal Natural Products Database [PMID: 23638153].
☉ StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
☉ TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
☉ TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
☉ TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
☉ TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
☉ HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
☉ MetaboLights: a metabolomics database [PMID: 27010336].
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
☉ DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
☉ PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
☉ FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT110 Individual protein Cytochrome P450 2D6 Homo sapiens Potency = 3981.1 nM PubChem BioAssay data set
NPT110 Individual protein Cytochrome P450 2D6 Homo sapiens AC50 = 3981.07 nM PubChem BioAssay data set
NPT208 Individual protein Cytochrome P450 1A2 Homo sapiens AC50 = 1995.26 nM PubChem BioAssay data set
NPT72 Individual protein Solute carrier organic anion transporter family member 1B3 Homo sapiens Inhibition = 98.91 % PMID[23571415]
NPT73 Individual protein Solute carrier organic anion transporter family member 1B1 Homo sapiens Inhibition = 77.76 % PMID[23571415]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT20555 Organism SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 IC50 > 20000.0 nM DOI[10.6019/CHEMBL4651402]
NPT20555 Organism SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 IC50 > 19952.62 nM DOI[10.6019/CHEMBL4651402]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
☉ ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
☉ TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC59907 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
NPC

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC59907 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
☉ A: chemistry similarity;
☉ B: biological targets similarity;
☉ C: networks similarity;
☉ D: cell-based bioactivity similarity;
☉ E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data