Natural Product: NPC134677

Natural Product IDNPC134677
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Natsudaidai
IUPAC Name 2-(3,4-dimethoxyphenyl)-3-hydroxy-5,6,7,8-tetramethoxychromen-4-one
Synonyms 3-hydroxynobiletin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL225702
PubChem CID 3084605
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001615] Flavones
          • [CHEMONTID:0001136] Flavonols

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 CCJBNIRSVUKABH-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H22O9/c1-24-11-8-7-10(9-12(11)25-2)16-15(23)14(22)13-17(26-3)19(27-4)21(29-6)20(28-5)18(13)30-16/h7-9,23H,1-6H3
SMILES COc1cc(ccc1OC)c1oc2c(OC)c(OC)c(c(c2c(=O)c1O)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   418.13 Volume:   404.123
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Van der Waals volume.
Dense:   1.035 LogP:   1.675
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.953
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.91
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   18.0
TPSA:   105.82
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.619 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.57 Fsp3:   0.286
MCE-18:   21.0
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.09 Fluc inhibitor:   0.564
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.839
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.749
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.306 Promiscuous compounds:   0.35

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.06 MDCK Permeability:   -4.699
Pgp-inhibitor:   0.968 Pgp-substrate:   0.03
PAMPA:   0.017
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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):   0.292
20% Bioavailability (F20%):   0.051 30% Bioavailability (F30%):   0.134
50% Bioavailability (F50%):   0.859

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.866
Plasma Protein Binding (PPB):   94.521% Volume Distribution (VD):   -0.422
Fu: 4.657%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.896
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.989
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.956 CYP1A2-substrate:   0.007
CYP2C19-inhibitor:   0.888 CYP2C19-substrate:   0.578
CYP2C9-inhibitor:   0.32 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.969 CYP2D6-substrate:   0.435
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.207
CYP2B6-substrate:   0.037 CYP2C8-inhibitor:   0.503
HLM stability:   0.429
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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):  6.436 Half-life (T1/2):  1.662

ADMET: Toxicity

hERG Blockers:  0.124 hERG Blockers (10um):  0.531
Human Hepatotoxicity (H-HT):  0.461 Drug-induced Liver Injury (DILI):  0.789
AMES Toxicity:  0.281 Rat Oral Acute Toxicity:  0.356
Maximum Recommended Daily Dose:  0.264 Skin Sensitization:  0.593
Carcinogencity:  0.768 Eye Corrosion:  0.379
Eye Irritation:  0.834 Respiratory Toxicity:  0.662
Drug-induced Neurotoxicity:  0.576 Ototoxicity:  0.242
Hematotoxicity:  0.571 Drug-induced Nephrotoxicity:  0.294
Genotoxicity:  0.064 RPMI-8226 Immunitoxicity:  0.144
A549 Cytotoxicity:  0.141 Hek293 Cytotoxicity:  0.313
BCF:   1.589
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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:   3.677
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.901
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.031
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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
NPO19584 Pericarpium citri reticulatae n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO27662 Pericarpium citri reticulatae viride n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO19584 Pericarpium citri reticulatae n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO27662 Pericarpium citri reticulatae viride n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]

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
NPT116 Cell line HL-60 Homo sapiens IC50 > 100000.0 nM PMID[17391969]
NPT116 Cell line HL-60 Homo sapiens AC50 = 56510.0 nM PMID[17391969]

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 NPC134677 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
0.7143 Intermediate Similarity NPC224137
0.6667 Remote Similarity NPC201547
0.6545 Remote Similarity NPC85233
0.6379 Remote Similarity NPC50728
0.6271 Remote Similarity NPC261548
0.5833 Remote Similarity NPC159103
0.5833 Remote Similarity NPC166753
0.5833 Remote Similarity NPC602344
0.5738 Remote Similarity NPC75215
0.5738 Remote Similarity NPC2476
0.5574 Remote Similarity NPC257914
0.5484 Remote Similarity NPC189179
0.5484 Remote Similarity NPC7846
0.541 Remote Similarity NPC50715
0.541 Remote Similarity NPC86485
0.5323 Remote Similarity NPC255350
0.5263 Remote Similarity NPC283002
0.5246 Remote Similarity NPC608038
0.5238 Remote Similarity NPC474520
0.5172 Remote Similarity NPC40818
0.5167 Remote Similarity NPC226973
0.5167 Remote Similarity NPC259058
0.5082 Remote Similarity NPC110639
0.5082 Remote Similarity NPC205522
0.5082 Remote Similarity NPC215932
0.5082 Remote Similarity NPC138360
0.5079 Remote Similarity NPC115798
0.5079 Remote Similarity NPC167815
0.5079 Remote Similarity NPC183597
0.5079 Remote Similarity NPC178854

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC134677 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
0.5323 Remote Similarity NPD2801 Pre-clinical

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