Natural Product: NPC552274

Natural Product IDNPC552274
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Noricaritin
IUPAC Name 3,5,7-trihydroxy-8-(3-hydroxy-3-methyl-butyl)-2-(4-hydroxyphenyl)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 CTGVBHDTGZUEJZ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C20H20O7/c1-20(2,26)8-7-12-13(22)9-14(23)15-16(24)17(25)18(27-19(12)15)10-3-5-11(21)6-4-10/h3-6,9,21-23,25-26H,7-8H2,1-2H3
SMILES CC(C)(O)CCC1=C(O)C=C(O)C2=C1OC(C1=CC=C(O)C=C1)=C(O)C2=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   372.12 Volume:   369.247
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Van der Waals volume.
Dense:   1.008 LogP:   1.617
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.636
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.378
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   18.0
TPSA:   131.36
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   5.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.476 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.817 Fsp3:   0.25
MCE-18:   22.0
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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:   0.635 Fluc inhibitor:   0.417
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.967
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.459
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.083 Promiscuous compounds:   0.54

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.639 MDCK Permeability:   -4.923
Pgp-inhibitor:   0.065 Pgp-substrate:   0.278
PAMPA:   0.776
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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):   0.007
20% Bioavailability (F20%):   0.024 30% Bioavailability (F30%):   0.258
50% Bioavailability (F50%):   0.956

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.946
Plasma Protein Binding (PPB):   97.96% Volume Distribution (VD):   -0.762
Fu: 1.467%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.67
OATP1B3 inhibitor:   0.892 BCRP inhibitor:   0.962
BSEP inhibitor:   0.917

ADMET: Metabolism

CYP1A2-inhibitor:   0.503 CYP1A2-substrate:   0.78
CYP2C19-inhibitor:   0.247 CYP2C19-substrate:   0.07
CYP2C9-inhibitor:   0.927 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.808 CYP2D6-substrate:   0.657
CYP3A4-inhibitor:   0.062 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.628
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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):  4.005 Half-life (T1/2):  1.638

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.378
Human Hepatotoxicity (H-HT):  0.561 Drug-induced Liver Injury (DILI):  0.282
AMES Toxicity:  0.547 Rat Oral Acute Toxicity:  0.222
Maximum Recommended Daily Dose:  0.595 Skin Sensitization:  0.827
Carcinogencity:  0.703 Eye Corrosion:  0.024
Eye Irritation:  0.966 Respiratory Toxicity:  0.75
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.31
Hematotoxicity:  0.091 Drug-induced Nephrotoxicity:  0.08
Genotoxicity:  0.898 RPMI-8226 Immunitoxicity:  0.058
A549 Cytotoxicity:  0.055 Hek293 Cytotoxicity:  0.417
BCF:   0.923
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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:   3.634
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.512
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.999
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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
NPO24476 Phellodendron amurense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28099 Epimedium cremeum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO49340 Epimedium mecranthum Genus Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8967 Phellodendron sachalinense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24476 Phellodendron amurense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24476 Phellodendron amurense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24476 Phellodendron amurense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24476 Phellodendron amurense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8967 Phellodendron sachalinense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28099 Epimedium cremeum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24476 Phellodendron amurense 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 NPC552274 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
0.7458 Intermediate Similarity NPC9117
0.6716 Remote Similarity NPC326500
0.6349 Remote Similarity NPC63187
0.6 Remote Similarity NPC605541
0.597 Remote Similarity NPC293053
0.597 Remote Similarity NPC604003
0.5735 Remote Similarity NPC273538
0.5672 Remote Similarity NPC190637
0.55 Remote Similarity NPC116775
0.541 Remote Similarity NPC225731
0.5385 Remote Similarity NPC603348
0.5373 Remote Similarity NPC220062
0.5357 Remote Similarity NPC183672
0.5286 Remote Similarity NPC59162
0.5211 Remote Similarity NPC606794
0.5156 Remote Similarity NPC473042
0.5072 Remote Similarity NPC24821
0.507 Remote Similarity NPC216538
0.5068 Remote Similarity NPC166757

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC552274 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
0.5735 Remote Similarity NPD4378 Phase 3

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