Natural Product: NPC470462

Natural Product IDNPC470462
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5,7,4'-Trihydroxy-3'-(4-Hydroxy-3-Methylbutyl)-5'-(3-Methyl-2-Buten-1-Yl)-3,6-Dimethyoxyflavone
IUPAC Name 5,7-dihydroxy-2-[4-hydroxy-3-(4-hydroxy-3-methylbutyl)-5-(3-methylbut-2-enyl)phenyl]-3,6-dimethoxychromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2037157
PubChem CID 46218174
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001615] Flavones
          • [CHEMONTID:0003502] 3'-prenylated flavones

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 HZKQZIBQTUUPIQ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C27H32O8/c1-14(2)6-8-16-10-18(11-17(22(16)30)9-7-15(3)13-28)25-27(34-5)24(32)21-20(35-25)12-19(29)26(33-4)23(21)31/h6,10-12,15,28-31H,7-9,13H2,1-5H3
SMILES CC(CCC1=C(C(=CC(=C1)C2=C(C(=O)C3=C(O2)C=C(C(=C3O)OC)O)OC)CC=C(C)C)O)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   484.21 Volume:   496.472
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Van der Waals volume.
Dense:   0.975 LogP:   4.977
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.439
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.341
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   19.0
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:   0.323 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.588 Fsp3:   0.37
MCE-18:   46.0
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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:   0.674 Fluc inhibitor:   0.326
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.897
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.896
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.044 Promiscuous compounds:   0.064

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.055 MDCK Permeability:   -4.75
Pgp-inhibitor:   0.935 Pgp-substrate:   0.032
PAMPA:   0.488
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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):   0.132
20% Bioavailability (F20%):   0.92 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.925
Plasma Protein Binding (PPB):   95.941% Volume Distribution (VD):   -0.052
Fu: 3.683%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.07
OATP1B3 inhibitor:   0.839 BCRP inhibitor:   0.998
BSEP inhibitor:   0.976

ADMET: Metabolism

CYP1A2-inhibitor:   0.791 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.973 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.639 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.991
CYP3A4-inhibitor:   0.223 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  5.41 Half-life (T1/2):  1.009

ADMET: Toxicity

hERG Blockers:  0.056 hERG Blockers (10um):  0.549
Human Hepatotoxicity (H-HT):  0.655 Drug-induced Liver Injury (DILI):  0.234
AMES Toxicity:  0.289 Rat Oral Acute Toxicity:  0.314
Maximum Recommended Daily Dose:  0.47 Skin Sensitization:  0.963
Carcinogencity:  0.459 Eye Corrosion:  0.001
Eye Irritation:  0.675 Respiratory Toxicity:  0.623
Drug-induced Neurotoxicity:  0.068 Ototoxicity:  0.683
Hematotoxicity:  0.254 Drug-induced Nephrotoxicity:  0.325
Genotoxicity:  0.282 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.45 Hek293 Cytotoxicity:  0.422
BCF:   1.689
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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:   4.378
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.856
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.283
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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
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[19719093]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[22512738]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12477 Dodonaea viscosa Species Sapindaceae 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
NPT520 Cell line 3T3-L1 Mus musculus Activity = 233.0 % PMID[15568794]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 289.8 % PMID[15568794]

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 NPC470462 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
0.8194 Intermediate Similarity NPC470456
0.8154 Intermediate Similarity NPC246478
0.8056 Intermediate Similarity NPC470460
0.7971 Intermediate Similarity NPC470459
0.7746 Intermediate Similarity NPC158761
0.7639 Intermediate Similarity NPC470457
0.6389 Remote Similarity NPC158874
0.6316 Remote Similarity NPC470458
0.6125 Remote Similarity NPC470461
0.5641 Remote Similarity NPC97255
0.55 Remote Similarity NPC269285
0.5493 Remote Similarity NPC266960
0.5352 Remote Similarity NPC472438
0.5278 Remote Similarity NPC203891
0.527 Remote Similarity NPC29841
0.5205 Remote Similarity NPC163524
0.5135 Remote Similarity NPC9609
0.5067 Remote Similarity NPC115798

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470462 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