Natural Product: NPC572299

Natural Product IDNPC572299
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.
Piscerygenin
IUPAC Name 3-(2,4-dihydroxy-5-methoxy-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 OEWYVOHIQUVAAO-UHFFFAOYSA-N
Standard InCHI InChI=1S/C16H12O7/c1-22-13-4-8(10(18)5-11(13)19)9-6-23-14-3-7(17)2-12(20)15(14)16(9)21/h2-6,17-20H,1H3
SMILES COC1=CC(C2=COC3=CC(O)=CC(O)=C3C2=O)=C(O)C=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   316.06 Volume:   300.063
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Van der Waals volume.
Dense:   1.053 LogP:   1.476
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.748
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.223
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   18.0
TPSA:   120.36
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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:   0.572 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.61 Fsp3:   0.062
MCE-18:   19.0
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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:   0.699 Fluc inhibitor:   0.356
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.806
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.548
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.548 Promiscuous compounds:   0.865

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.196 MDCK Permeability:   -4.858
Pgp-inhibitor:   0.022 Pgp-substrate:   0.369
PAMPA:   0.17
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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):   0.003
20% Bioavailability (F20%):   0.211 30% Bioavailability (F30%):   0.789
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.699
Plasma Protein Binding (PPB):   96.298% Volume Distribution (VD):   -0.519
Fu: 3.94%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.919
OATP1B3 inhibitor:   0.991 BCRP inhibitor:   0.983
BSEP inhibitor:   0.228

ADMET: Metabolism

CYP1A2-inhibitor:   0.944 CYP1A2-substrate:   0.648
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.011
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.974
CYP2D6-inhibitor:   0.998 CYP2D6-substrate:   0.932
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.62
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.453
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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):  0.994 Half-life (T1/2):  1.998

ADMET: Toxicity

hERG Blockers:  0.083 hERG Blockers (10um):  0.526
Human Hepatotoxicity (H-HT):  0.43 Drug-induced Liver Injury (DILI):  0.719
AMES Toxicity:  0.626 Rat Oral Acute Toxicity:  0.561
Maximum Recommended Daily Dose:  0.849 Skin Sensitization:  0.547
Carcinogencity:  0.682 Eye Corrosion:  0.045
Eye Irritation:  0.993 Respiratory Toxicity:  0.891
Drug-induced Neurotoxicity:  0.084 Ototoxicity:  0.153
Hematotoxicity:  0.064 Drug-induced Nephrotoxicity:  0.104
Genotoxicity:  0.941 RPMI-8226 Immunitoxicity:  0.115
A549 Cytotoxicity:  0.477 Hek293 Cytotoxicity:  0.733
BCF:   0.995
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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:   3.581
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.295
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.663
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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
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 NPC572299 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
0.7818 Intermediate Similarity NPC19980
0.7414 Intermediate Similarity NPC45291
0.7119 Intermediate Similarity NPC254702
0.6949 Remote Similarity NPC279668
0.6949 Remote Similarity NPC481044
0.6842 Remote Similarity NPC78341
0.6833 Remote Similarity NPC264550
0.6667 Remote Similarity NPC194653
0.661 Remote Similarity NPC239363
0.65 Remote Similarity NPC200316
0.6441 Remote Similarity NPC294409
0.6441 Remote Similarity NPC490701
0.6316 Remote Similarity NPC87545
0.629 Remote Similarity NPC142876
0.629 Remote Similarity NPC483637
0.623 Remote Similarity NPC309154
0.6129 Remote Similarity NPC278323
0.6094 Remote Similarity NPC167595
0.6032 Remote Similarity NPC476055
0.5789 Remote Similarity NPC193792
0.5735 Remote Similarity NPC268059
0.5692 Remote Similarity NPC104728
0.569 Remote Similarity NPC39426
0.569 Remote Similarity NPC608554
0.5652 Remote Similarity NPC280937
0.5652 Remote Similarity NPC479305
0.5652 Remote Similarity NPC128774
0.5507 Remote Similarity NPC233918
0.55 Remote Similarity NPC38065
0.5493 Remote Similarity NPC482075
0.5385 Remote Similarity NPC90665
0.5278 Remote Similarity NPC231763
0.5217 Remote Similarity NPC232947
0.5152 Remote Similarity NPC156953
0.5147 Remote Similarity NPC93552
0.5139 Remote Similarity NPC474052
0.5128 Remote Similarity NPC481043
0.5077 Remote Similarity NPC250557
0.5075 Remote Similarity NPC291802
0.5075 Remote Similarity NPC114192
0.5072 Remote Similarity NPC238279
0.5072 Remote Similarity NPC608523
0.5068 Remote Similarity NPC74178

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC572299 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
0.569 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