Natural Product: NPC590843

Natural Product IDNPC590843
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Leucanthogenin
IUPAC Name 2-(3,4-dihydroxyphenyl)-5,8-dihydroxy-6,7-dimethoxy-chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 VZNIMRVJHRTTKA-UHFFFAOYSA-N
Standard InCHI InChI=1S/C17H14O8/c1-23-16-13(21)12-10(20)6-11(7-3-4-8(18)9(19)5-7)25-15(12)14(22)17(16)24-2/h3-6,18-19,21-22H,1-2H3
SMILES COC1=C(OC)C(O)=C2C(=O)C=C(C3=CC=C(O)C(O)=C3)OC2=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   346.07 Volume:   326.149
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Van der Waals volume.
Dense:   1.061 LogP:   1.873
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.909
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.863
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   18.0
TPSA:   129.59
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.42 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.688 Fsp3:   0.118
MCE-18:   20.0
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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:   1
Colloidal aggregators:   0.742 Fluc inhibitor:   0.506
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.869
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.592
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.432 Promiscuous compounds:   0.903

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.179 MDCK Permeability:   -4.808
Pgp-inhibitor:   0.017 Pgp-substrate:   0.043
PAMPA:   0.338
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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):   0.039
20% Bioavailability (F20%):   0.791 30% Bioavailability (F30%):   0.933
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.037 MRP1:   0.983
Plasma Protein Binding (PPB):   97.464% Volume Distribution (VD):   -0.468
Fu: 2.186%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.962
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.726
BSEP inhibitor:   0.134

ADMET: Metabolism

CYP1A2-inhibitor:   0.019 CYP1A2-substrate:   0.013
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   0.026 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.706 CYP2D6-substrate:   0.931
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.763
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.903
HLM stability:   0.489
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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):  11.117 Half-life (T1/2):  1.684

ADMET: Toxicity

hERG Blockers:  0.072 hERG Blockers (10um):  0.577
Human Hepatotoxicity (H-HT):  0.354 Drug-induced Liver Injury (DILI):  0.822
AMES Toxicity:  0.469 Rat Oral Acute Toxicity:  0.448
Maximum Recommended Daily Dose:  0.577 Skin Sensitization:  0.942
Carcinogencity:  0.616 Eye Corrosion:  0.31
Eye Irritation:  0.985 Respiratory Toxicity:  0.625
Drug-induced Neurotoxicity:  0.03 Ototoxicity:  0.286
Hematotoxicity:  0.113 Drug-induced Nephrotoxicity:  0.039
Genotoxicity:  0.721 RPMI-8226 Immunitoxicity:  0.04
A549 Cytotoxicity:  0.624 Hek293 Cytotoxicity:  0.426
BCF:   1.044
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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:   3.651
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.599
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.201
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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
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[32092043]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36866384]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37151483]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO48476 Nepeta spp. Genus Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25037 Nepeta cataria Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25037 Nepeta cataria Species Lamiaceae 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

In vitro activity

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

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 NPC590843 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
0.8163 Intermediate Similarity NPC607196
0.7547 Intermediate Similarity NPC280339
0.7037 Intermediate Similarity NPC163780
0.7037 Intermediate Similarity NPC201136
0.7037 Intermediate Similarity NPC25270
0.6545 Remote Similarity NPC100887
0.625 Remote Similarity NPC188203
0.614 Remote Similarity NPC108406
0.614 Remote Similarity NPC162313
0.6038 Remote Similarity NPC17286
0.5789 Remote Similarity NPC138360
0.569 Remote Similarity NPC231018
0.569 Remote Similarity NPC120163
0.5593 Remote Similarity NPC18772
0.5593 Remote Similarity NPC604569
0.5593 Remote Similarity NPC605047
0.5517 Remote Similarity NPC187498
0.5424 Remote Similarity NPC604462
0.5417 Remote Similarity NPC45638
0.541 Remote Similarity NPC160951
0.541 Remote Similarity NPC196439
0.5357 Remote Similarity NPC275772
0.5342 Remote Similarity NPC201292
0.5333 Remote Similarity NPC22472
0.5333 Remote Similarity NPC32420
0.5323 Remote Similarity NPC227325
0.5323 Remote Similarity NPC47781
0.5263 Remote Similarity NPC279121
0.5254 Remote Similarity NPC71334
0.5254 Remote Similarity NPC241498
0.5254 Remote Similarity NPC275836
0.5254 Remote Similarity NPC239128
0.5238 Remote Similarity NPC258331
0.5167 Remote Similarity NPC176775
0.5167 Remote Similarity NPC145379
0.5167 Remote Similarity NPC163524
0.5088 Remote Similarity NPC296197
0.5085 Remote Similarity NPC250822
0.5085 Remote Similarity NPC75279
0.5082 Remote Similarity NPC208197
0.5082 Remote Similarity NPC256283

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC590843 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
0.5263 Remote Similarity NPD1511 Phase 2

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