Natural Product: NPC494463

Natural Product IDNPC494463
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Erythbigenin
IUPAC Name 3-[3,4-dihydroxy-5-methoxy-2,6-bis(3-methylbut-2-enyl)phenyl]-5,7-dihydroxy-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 QRBBKWLOIYMFQP-UHFFFAOYSA-N
Standard InCHI InChI=1S/C26H28O7/c1-13(2)6-8-16-21(17(9-7-14(3)4)26(32-5)25(31)24(16)30)18-12-33-20-11-15(27)10-19(28)22(20)23(18)29/h6-7,10-12,27-28,30-31H,8-9H2,1-5H3
SMILES COC1=C(O)C(O)=C(CC=C(C)C)C(C2=COC3=CC(O)=CC(O)=C3C2=O)=C1CC=C(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   452.18 Volume:   467.75
?
Van der Waals volume.
Dense:   0.967 LogP:   4.503
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.523
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.805
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   20.0
TPSA:   120.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.295 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.372 Fsp3:   0.269
MCE-18:   23.0
?
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:   1
Colloidal aggregators:   0.978 Fluc inhibitor:   0.241
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.809
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.577
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.365 Promiscuous compounds:   0.171

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.205 MDCK Permeability:   -4.803
Pgp-inhibitor:   0.117 Pgp-substrate:   0.114
PAMPA:   0.385
?
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):   0.061
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.982
Plasma Protein Binding (PPB):   94.765% Volume Distribution (VD):   0.154
Fu: 5.373%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.913 BCRP inhibitor:   1.0
BSEP inhibitor:   0.022

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.139 CYP2C9-substrate:   0.531
CYP2D6-inhibitor:   0.846 CYP2D6-substrate:   0.183
CYP3A4-inhibitor:   0.928 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  6.356 Half-life (T1/2):  1.383

ADMET: Toxicity

hERG Blockers:  0.058 hERG Blockers (10um):  0.608
Human Hepatotoxicity (H-HT):  0.5 Drug-induced Liver Injury (DILI):  0.687
AMES Toxicity:  0.638 Rat Oral Acute Toxicity:  0.92
Maximum Recommended Daily Dose:  0.848 Skin Sensitization:  0.894
Carcinogencity:  0.506 Eye Corrosion:  0.0
Eye Irritation:  0.23 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.423 Ototoxicity:  0.565
Hematotoxicity:  0.124 Drug-induced Nephrotoxicity:  0.71
Genotoxicity:  0.991 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.644 Hek293 Cytotoxicity:  0.773
BCF:   1.988
?
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:   5.141
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.75
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.314
?
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
NPO44819 Piscidia erythrina Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC494463 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
0.662 Remote Similarity NPC128774
0.6479 Remote Similarity NPC233918
0.6479 Remote Similarity NPC268059
0.6377 Remote Similarity NPC93552
0.6197 Remote Similarity NPC85131
0.6056 Remote Similarity NPC238279
0.5972 Remote Similarity NPC213659
0.5972 Remote Similarity NPC326109
0.5972 Remote Similarity NPC232947
0.5949 Remote Similarity NPC303174
0.5733 Remote Similarity NPC485109
0.5588 Remote Similarity NPC78341
0.5584 Remote Similarity NPC482075
0.5584 Remote Similarity NPC488567
0.5571 Remote Similarity NPC309154
0.5526 Remote Similarity NPC280937
0.5526 Remote Similarity NPC479305
0.5507 Remote Similarity NPC294409
0.5507 Remote Similarity NPC490701
0.5429 Remote Similarity NPC19980
0.5429 Remote Similarity NPC239363
0.5417 Remote Similarity NPC254702
0.5417 Remote Similarity NPC142876
0.5417 Remote Similarity NPC264550
0.5352 Remote Similarity NPC200316
0.5278 Remote Similarity NPC279668
0.5278 Remote Similarity NPC278323
0.5278 Remote Similarity NPC194653
0.5278 Remote Similarity NPC481044
0.525 Remote Similarity NPC474960
0.5205 Remote Similarity NPC483637
0.5205 Remote Similarity NPC45291
0.5125 Remote Similarity NPC52889
0.5075 Remote Similarity NPC39426
0.5067 Remote Similarity NPC241904
0.5067 Remote Similarity NPC167595

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC494463 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
0.5075 Remote Similarity NPD1510 Phase 2

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