Natural Product: NPC295691

Natural Product IDNPC295691
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3,9,10-Trimethoxy-6,8,13,13A-Tetrahydro-5H-Isoquinolino[2,1-B]Isoquinolin-2-Ol
IUPAC Name 3,9,10-trimethoxy-6,8,13,13a-tetrahydro-5H-isoquinolino[2,1-b]isoquinolin-2-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3780481
PubChem CID 10220
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0001909] Protoberberine alkaloids and derivatives

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 KDFKJOFJHSVROC-UHFFFAOYSA-N
Standard InCHI InChI=1S/C20H23NO4/c1-23-18-5-4-12-8-16-14-10-17(22)19(24-2)9-13(14)6-7-21(16)11-15(12)20(18)25-3/h4-5,9-10,16,22H,6-8,11H2,1-3H3
SMILES COc1cc2CCN3C(c2cc1O)Cc1c(C3)c(OC)c(cc1)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   341.16 Volume:   350.589
?
Van der Waals volume.
Dense:   0.973 LogP:   1.519
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.841
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.133
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   21.0
TPSA:   51.16
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.93 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.93 Fsp3:   0.4
MCE-18:   73.857
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.241 Fluc inhibitor:   0.06
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.359
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.441
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.039

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.824 MDCK Permeability:   -4.72
Pgp-inhibitor:   0.055 Pgp-substrate:   0.123
PAMPA:   0.011
?
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):   0.002
20% Bioavailability (F20%):   0.046 30% Bioavailability (F30%):   0.097
50% Bioavailability (F50%):   0.946

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.795 MRP1:   0.976
Plasma Protein Binding (PPB):   78.213% Volume Distribution (VD):   -0.094
Fu: 19.873%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.956
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.639
BSEP inhibitor:   0.906

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.072
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.996 CYP2C9-substrate:   0.983
CYP2D6-inhibitor:   0.998 CYP2D6-substrate:   0.369
CYP3A4-inhibitor:   0.806 CYP3A4-substrate:   0.897
CYP2B6-substrate:   0.988 CYP2C8-inhibitor:   0.723
HLM stability:   0.62
?
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):  5.529 Half-life (T1/2):  2.232

ADMET: Toxicity

hERG Blockers:  0.418 hERG Blockers (10um):  0.66
Human Hepatotoxicity (H-HT):  0.472 Drug-induced Liver Injury (DILI):  0.034
AMES Toxicity:  0.65 Rat Oral Acute Toxicity:  0.533
Maximum Recommended Daily Dose:  0.702 Skin Sensitization:  0.836
Carcinogencity:  0.824 Eye Corrosion:  0.002
Eye Irritation:  0.264 Respiratory Toxicity:  0.949
Drug-induced Neurotoxicity:  0.479 Ototoxicity:  0.641
Hematotoxicity:  0.164 Drug-induced Nephrotoxicity:  0.106
Genotoxicity:  0.234 RPMI-8226 Immunitoxicity:  0.06
A549 Cytotoxicity:  0.199 Hek293 Cytotoxicity:  0.505
BCF:   1.453
?
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:   3.937
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.26
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.556
?
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
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. DOI[10.3390/plants9101397]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. PMID[16499335]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota tubers n.a. n.a. PMID[20594848]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22737858]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[23194502]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. rhizome n.a. PMID[25277281]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. tuber n.a. PMID[25670016]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[32058719]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. rhizome n.a. PMID[7714541]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. PMID[7760071]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. rhizome n.a. PMID[7798964]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. PMID[7964801]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2341 Fibraurea recisa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2341 Fibraurea recisa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2341 Fibraurea recisa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO31048 Papaver sommiferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23628 Imperata cylindrica Species Poaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2341 Fibraurea recisa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23628 Imperata cylindrica Species Poaceae 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
NPT296 Individual protein Sigma opioid receptor Homo sapiens Ki = 106.0 nM PMID[27032890]
NPT244 Individual protein Dopamine D3 receptor Homo sapiens Ki = 37.0 nM PMID[27032890]
NPT243 Individual protein Dopamine D2 receptor Homo sapiens Ki = 102.0 nM PMID[27032890]
NPT242 Individual protein Dopamine D1 receptor Homo sapiens Ki = 15.0 nM PMID[27032890]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 = 178000.0 nM PMID[27032890]
NPT2 Others Unspecified n.a. Ki = 1.0 nM PMID[27032890]
NPT2 Others Unspecified n.a. Ratio Ki = 6.8 n.a. PMID[27032890]
NPT2 Others Unspecified n.a. Ratio Ki = 2.5 n.a. PMID[27032890]
NPT2 Others Unspecified n.a. Ratio Ki = 2.8 n.a. PMID[27032890]
NPT2 Others Unspecified n.a. Ratio Ki = 106.0 n.a. PMID[27032890]

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 NPC295691 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
1.0 High Similarity NPC207757
1.0 High Similarity NPC54379
0.8909 High Similarity NPC204828
0.8909 High Similarity NPC5238
0.8333 Intermediate Similarity NPC232514
0.7586 Intermediate Similarity NPC189266
0.7586 Intermediate Similarity NPC2413
0.7586 Intermediate Similarity NPC110416
0.75 Intermediate Similarity NPC210437
0.75 Intermediate Similarity NPC16107
0.75 Intermediate Similarity NPC106295
0.7368 Intermediate Similarity NPC51957
0.7213 Intermediate Similarity NPC264850
0.7167 Intermediate Similarity NPC249797
0.7167 Intermediate Similarity NPC193949
0.7018 Intermediate Similarity NPC88249
0.6885 Remote Similarity NPC216459
0.6885 Remote Similarity NPC41178
0.6885 Remote Similarity NPC138487
0.6721 Remote Similarity NPC172765
0.629 Remote Similarity NPC39701
0.629 Remote Similarity NPC184026
0.625 Remote Similarity NPC326205
0.6167 Remote Similarity NPC220858
0.6129 Remote Similarity NPC151895
0.5938 Remote Similarity NPC276588
0.5938 Remote Similarity NPC127674
0.5938 Remote Similarity NPC31311
0.5938 Remote Similarity NPC278799
0.5938 Remote Similarity NPC234392
0.5821 Remote Similarity NPC606650
0.5758 Remote Similarity NPC312025
0.5714 Remote Similarity NPC147390
0.5714 Remote Similarity NPC428
0.5507 Remote Similarity NPC276944
0.5507 Remote Similarity NPC238530
0.5385 Remote Similarity NPC321505
0.5385 Remote Similarity NPC179825
0.5303 Remote Similarity NPC7467
0.5224 Remote Similarity NPC469817
0.5135 Remote Similarity NPC480592
0.5082 Remote Similarity NPC34559
0.5082 Remote Similarity NPC128019

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC295691 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
0.75 Intermediate Similarity NPD4584 Phase 2
0.5072 Remote Similarity NPD4010 Discontinued

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