Natural Product: NPC226025

Natural Product IDNPC226025
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
6-Geranyl-5,7-Dihydroxy-3',4'-Dimethoxyflavanone
IUPAC Name (2S)-2-(3,4-dimethoxyphenyl)-6-[(2E)-3,7-dimethylocta-2,6-dienyl]-5,7-dihydroxy-2,3-dihydrochromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3581355
PubChem CID 24854121
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003646] 6-prenylated flavans
            • [CHEMONTID:0003507] 6-prenylated flavanones

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 XMWZSFFOJPSCLZ-VAPFXODJSA-N
Standard InCHI InChI=1S/C27H32O6/c1-16(2)7-6-8-17(3)9-11-19-20(28)14-25-26(27(19)30)21(29)15-23(33-25)18-10-12-22(31-4)24(13-18)32-5/h7,9-10,12-14,23,28,30H,6,8,11,15H2,1-5H3/b17-9+/t23-/m0/s1
SMILES CC(=CCC/C(=C/Cc1c(cc2c(C(=O)C[C@@H](c3ccc(c(c3)OC)OC)O2)c1O)O)/C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   452.22 Volume:   478.892
?
Van der Waals volume.
Dense:   0.944 LogP:   6.263
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.301
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.118
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   20.0
TPSA:   85.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.474 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.352 Fsp3:   0.37
MCE-18:   65.27
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.932 Fluc inhibitor:   0.81
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.506
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.734
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.278 Promiscuous compounds:   0.16

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.86 MDCK Permeability:   -4.644
Pgp-inhibitor:   1.0 Pgp-substrate:   0.001
PAMPA:   0.001
?
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):   0.005
20% Bioavailability (F20%):   0.016 30% Bioavailability (F30%):   0.239
50% Bioavailability (F50%):   0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.694
Plasma Protein Binding (PPB):   97.266% Volume Distribution (VD):   0.19
Fu: 2.211%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.932
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.641 CYP1A2-substrate:   0.994
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.789
CYP2C9-inhibitor:   0.76 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.885 CYP2D6-substrate:   0.638
CYP3A4-inhibitor:   0.772 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.002 CYP2C8-inhibitor:   1.0
HLM stability:   0.993
?
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):  5.984 Half-life (T1/2):  1.146

ADMET: Toxicity

hERG Blockers:  0.099 hERG Blockers (10um):  0.539
Human Hepatotoxicity (H-HT):  0.869 Drug-induced Liver Injury (DILI):  0.939
AMES Toxicity:  0.44 Rat Oral Acute Toxicity:  0.762
Maximum Recommended Daily Dose:  0.658 Skin Sensitization:  0.975
Carcinogencity:  0.471 Eye Corrosion:  0.001
Eye Irritation:  0.847 Respiratory Toxicity:  0.99
Drug-induced Neurotoxicity:  0.698 Ototoxicity:  0.56
Hematotoxicity:  0.429 Drug-induced Nephrotoxicity:  0.877
Genotoxicity:  0.956 RPMI-8226 Immunitoxicity:  0.35
A549 Cytotoxicity:  0.847 Hek293 Cytotoxicity:  0.583
BCF:   2.189
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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:   5.094
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.697
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.17
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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
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[17625893]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[18293924]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. PMID[20192247]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. fruit n.a. PMID[21319773]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[22445674]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[23623680]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota fruits n.a. n.a. PMID[25735399]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[28322565]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota Fruits n.a. n.a. PMID[28968119]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22079 Paulownia tomentosa Species Paulowniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22079 Paulownia tomentosa Species Paulowniaceae 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
NPT1970 Cell line THP-1 Homo sapiens IC50 < 10000.0 nM PMID[22194678]

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 NPC226025 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
0.8636 High Similarity NPC64915
0.8028 Intermediate Similarity NPC472626
0.8028 Intermediate Similarity NPC195796
0.8 Intermediate Similarity NPC278778
0.7971 Intermediate Similarity NPC470328
0.7971 Intermediate Similarity NPC209614
0.7714 Intermediate Similarity NPC164272
0.7714 Intermediate Similarity NPC470327
0.7681 Intermediate Similarity NPC228504
0.7571 Intermediate Similarity NPC213896
0.7534 Intermediate Similarity NPC45849
0.7429 Intermediate Similarity NPC290133
0.7361 Intermediate Similarity NPC185276
0.7027 Intermediate Similarity NPC298692
0.6667 Remote Similarity NPC35038
0.6623 Remote Similarity NPC210459
0.641 Remote Similarity NPC488557
0.6377 Remote Similarity NPC1089
0.6375 Remote Similarity NPC474055
0.6364 Remote Similarity NPC488558
0.6296 Remote Similarity NPC472634
0.6282 Remote Similarity NPC472630
0.6203 Remote Similarity NPC472631
0.6125 Remote Similarity NPC27337
0.6125 Remote Similarity NPC472598
0.6111 Remote Similarity NPC125855
0.6104 Remote Similarity NPC488556
0.6076 Remote Similarity NPC472628
0.6076 Remote Similarity NPC488554
0.6049 Remote Similarity NPC287328
0.6049 Remote Similarity NPC488555
0.6049 Remote Similarity NPC484418
0.6026 Remote Similarity NPC472627
0.6026 Remote Similarity NPC58805
0.6026 Remote Similarity NPC261063
0.6 Remote Similarity NPC282009
0.5949 Remote Similarity NPC321779
0.5867 Remote Similarity NPC223787
0.5833 Remote Similarity NPC321399
0.5823 Remote Similarity NPC299436
0.5769 Remote Similarity NPC472629
0.5769 Remote Similarity NPC279650
0.575 Remote Similarity NPC470326
0.5696 Remote Similarity NPC262039
0.5676 Remote Similarity NPC223500
0.5625 Remote Similarity NPC22192
0.5584 Remote Similarity NPC477242
0.5467 Remote Similarity NPC166689
0.5366 Remote Similarity NPC201800
0.525 Remote Similarity NPC96408
0.525 Remote Similarity NPC610511
0.5211 Remote Similarity NPC601395
0.5181 Remote Similarity NPC67396
0.5172 Remote Similarity NPC293319
0.5125 Remote Similarity NPC166934

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC226025 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