Natural Product: NPC514210

Natural Product IDNPC514210
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3,5,8-Trihydroxy-6,7,3',4'-tetramethoxyflavone
IUPAC Name 2-(3,4-dimethoxyphenyl)-3,5,8-trihydroxy-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 ICFGGMFYTLSHHS-UHFFFAOYSA-N
Standard InCHI InChI=1S/C19H18O9/c1-24-9-6-5-8(7-10(9)25-2)16-14(22)12(20)11-13(21)18(26-3)19(27-4)15(23)17(11)28-16/h5-7,21-23H,1-4H3
SMILES COC1=CC=C(C2=C(O)C(=O)C3=C(O)C(OC)=C(OC)C(O)=C3O2)C=C1OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   390.1 Volume:   369.531
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Van der Waals volume.
Dense:   1.056 LogP:   1.707
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.9
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.625
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   18.0
TPSA:   127.82
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.563 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.624 Fsp3:   0.211
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.361 Fluc inhibitor:   0.472
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.649
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.497
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.342 Promiscuous compounds:   0.864

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.317 MDCK Permeability:   -4.856
Pgp-inhibitor:   0.93 Pgp-substrate:   0.064
PAMPA:   0.056
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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):   0.293
20% Bioavailability (F20%):   0.03 30% Bioavailability (F30%):   0.266
50% Bioavailability (F50%):   0.963

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.949
Plasma Protein Binding (PPB):   98.451% Volume Distribution (VD):   -0.626
Fu: 1.119%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.968
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.988
BSEP inhibitor:   0.969

ADMET: Metabolism

CYP1A2-inhibitor:   0.254 CYP1A2-substrate:   0.004
CYP2C19-inhibitor:   0.005 CYP2C19-substrate:   0.497
CYP2C9-inhibitor:   0.113 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.833 CYP2D6-substrate:   0.034
CYP3A4-inhibitor:   0.898 CYP3A4-substrate:   0.027
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.155
HLM stability:   0.763
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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):  7.687 Half-life (T1/2):  1.75

ADMET: Toxicity

hERG Blockers:  0.092 hERG Blockers (10um):  0.449
Human Hepatotoxicity (H-HT):  0.461 Drug-induced Liver Injury (DILI):  0.859
AMES Toxicity:  0.397 Rat Oral Acute Toxicity:  0.424
Maximum Recommended Daily Dose:  0.334 Skin Sensitization:  0.567
Carcinogencity:  0.72 Eye Corrosion:  0.278
Eye Irritation:  0.936 Respiratory Toxicity:  0.616
Drug-induced Neurotoxicity:  0.218 Ototoxicity:  0.202
Hematotoxicity:  0.439 Drug-induced Nephrotoxicity:  0.189
Genotoxicity:  0.197 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.15 Hek293 Cytotoxicity:  0.261
BCF:   1.022
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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:   3.65
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.51
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.976
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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
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. leaf n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. twig n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[34964904]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[36529712]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1383.1 Murraya paniculata var. omphalocarpa Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1383.1 Murraya paniculata var. omphalocarpa Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1383.1 Murraya paniculata var. omphalocarpa Varieties Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2715 Murraya paniculata Species Rutaceae 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 NPC514210 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
0.7273 Intermediate Similarity NPC163780
0.7018 Intermediate Similarity NPC224137
0.6271 Remote Similarity NPC159103
0.6271 Remote Similarity NPC166753
0.6 Remote Similarity NPC602344
0.5833 Remote Similarity NPC49824
0.5833 Remote Similarity NPC134677
0.5738 Remote Similarity NPC176300
0.5738 Remote Similarity NPC50728
0.5645 Remote Similarity NPC93376
0.5645 Remote Similarity NPC261548
0.5484 Remote Similarity NPC115798
0.5484 Remote Similarity NPC69394
0.5469 Remote Similarity NPC227192
0.5397 Remote Similarity NPC189179
0.5397 Remote Similarity NPC7846
0.5397 Remote Similarity NPC2476
0.5397 Remote Similarity NPC605494
0.5333 Remote Similarity NPC607196
0.5323 Remote Similarity NPC32420
0.5246 Remote Similarity NPC44079
0.5238 Remote Similarity NPC280339
0.5238 Remote Similarity NPC255350
0.5161 Remote Similarity NPC608038
0.5156 Remote Similarity NPC474520
0.5079 Remote Similarity NPC86485
0.5079 Remote Similarity NPC480465

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC514210 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
0.5238 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