Natural Product: NPC281207

Natural Product IDNPC281207
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3,7-Dihydroxy-4'-Methoxyflavone
IUPAC Name 3,7-dihydroxy-2-(4-methoxyphenyl)chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2017116
PubChem CID 12314892
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 IYFVCSURXCCUSJ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C16H12O5/c1-20-11-5-2-9(3-6-11)16-15(19)14(18)12-7-4-10(17)8-13(12)21-16/h2-8,17,19H,1H3
SMILES COc1ccc(cc1)c1oc2cc(O)ccc2c(=O)c1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   284.07 Volume:   282.482
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Van der Waals volume.
Dense:   1.006 LogP:   2.348
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.362
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.03
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   18.0
TPSA:   79.9
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.756 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.061 Fsp3:   0.062
MCE-18:   17.0
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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:   0.587 Fluc inhibitor:   0.996
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.976
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.747
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.662 Promiscuous compounds:   0.883

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.134 MDCK Permeability:   -4.805
Pgp-inhibitor:   0.713 Pgp-substrate:   0.295
PAMPA:   0.333
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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):   0.522
20% Bioavailability (F20%):   0.354 30% Bioavailability (F30%):   0.892
50% Bioavailability (F50%):   0.979

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.655
Plasma Protein Binding (PPB):   97.579% Volume Distribution (VD):   -0.633
Fu: 1.83%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.884
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.975
BSEP inhibitor:   0.913

ADMET: Metabolism

CYP1A2-inhibitor:   0.662 CYP1A2-substrate:   0.086
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.873
CYP2C9-inhibitor:   0.779 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.937 CYP2D6-substrate:   0.618
CYP3A4-inhibitor:   0.096 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.953
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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):  6.311 Half-life (T1/2):  1.141

ADMET: Toxicity

hERG Blockers:  0.148 hERG Blockers (10um):  0.487
Human Hepatotoxicity (H-HT):  0.418 Drug-induced Liver Injury (DILI):  0.883
AMES Toxicity:  0.657 Rat Oral Acute Toxicity:  0.418
Maximum Recommended Daily Dose:  0.688 Skin Sensitization:  0.396
Carcinogencity:  0.843 Eye Corrosion:  0.693
Eye Irritation:  0.995 Respiratory Toxicity:  0.759
Drug-induced Neurotoxicity:  0.148 Ototoxicity:  0.108
Hematotoxicity:  0.149 Drug-induced Nephrotoxicity:  0.079
Genotoxicity:  0.787 RPMI-8226 Immunitoxicity:  0.055
A549 Cytotoxicity:  0.171 Hek293 Cytotoxicity:  0.53
BCF:   1.206
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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:   3.928
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.721
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.332
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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
NPO33390 broussonetia kanzinoki Species Moraceae Eukaryota n.a. n.a. n.a. PMID[22450131]

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
NPT1120 Individual protein Pancreatic triacylglycerol lipase Sus scrofa Inhibition = 21.8 % PMID[10479316]
NPT1120 Individual protein Pancreatic triacylglycerol lipase Sus scrofa IC50 > 100000.0 nM DOI[10.6019/CHEMBL1201861]

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 NPC281207 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
0.8077 Intermediate Similarity NPC55205
0.7358 Intermediate Similarity NPC605146
0.7273 Intermediate Similarity NPC602125
0.72 Intermediate Similarity NPC299379
0.7037 Intermediate Similarity NPC266597
0.6909 Remote Similarity NPC269652
0.6863 Remote Similarity NPC51443
0.6727 Remote Similarity NPC241838
0.6415 Remote Similarity NPC74881
0.625 Remote Similarity NPC44079
0.6207 Remote Similarity NPC602344
0.614 Remote Similarity NPC276905
0.6102 Remote Similarity NPC604422
0.6034 Remote Similarity NPC49824
0.5833 Remote Similarity NPC607642
0.5789 Remote Similarity NPC136840
0.5763 Remote Similarity NPC209560
0.5763 Remote Similarity NPC490700
0.5625 Remote Similarity NPC269906
0.5593 Remote Similarity NPC201451
0.5593 Remote Similarity NPC260895
0.5593 Remote Similarity NPC143799
0.5574 Remote Similarity NPC608664
0.55 Remote Similarity NPC86485
0.541 Remote Similarity NPC54394
0.541 Remote Similarity NPC50728
0.541 Remote Similarity NPC159103
0.5333 Remote Similarity NPC270465
0.5323 Remote Similarity NPC115323
0.5238 Remote Similarity NPC12175
0.5179 Remote Similarity NPC93730
0.5167 Remote Similarity NPC152042
0.5161 Remote Similarity NPC200740
0.5161 Remote Similarity NPC166753
0.5156 Remote Similarity NPC55162
0.5082 Remote Similarity NPC59951
0.5082 Remote Similarity NPC231772
0.5082 Remote Similarity NPC87125
0.5082 Remote Similarity NPC604085
0.5079 Remote Similarity NPC261548
0.5077 Remote Similarity NPC607815

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC281207 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