Natural Product: NPC500761

Natural Product IDNPC500761
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
schliebenone C
IUPAC Name 5,7-dihydroxy-3-[3-hydroxy-5-(3-hydroxy-3-methyl-but-1-enyl)-4-methoxy-phenyl]chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002586] O-methylated isoflavonoids
          • [CHEMONTID:0002606] 4'-O-methylated isoflavonoids
            • [CHEMONTID:0003651] 3'-hydroxy,4'-methoxyisoflavonoids

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 HZMQJHMUAPRPTR-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H20O7/c1-21(2,26)5-4-11-6-12(7-16(24)20(11)27-3)14-10-28-17-9-13(22)8-15(23)18(17)19(14)25/h4-10,22-24,26H,1-3H3
SMILES COC1=C(O)C=C(C2=COC3=CC(O)=CC(O)=C3C2=O)C=C1C=CC(C)(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   384.12 Volume:   383.906
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Van der Waals volume.
Dense:   1.001 LogP:   2.206
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.1
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.846
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   19.0
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:   0.544 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.036 Fsp3:   0.19
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:   0.453 Fluc inhibitor:   0.578
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.921
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.656
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.319 Promiscuous compounds:   0.556

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.307 MDCK Permeability:   -4.896
Pgp-inhibitor:   0.003 Pgp-substrate:   0.605
PAMPA:   0.389
?
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):   0.001
20% Bioavailability (F20%):   0.014 30% Bioavailability (F30%):   0.143
50% Bioavailability (F50%):   0.958

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.102 MRP1:   0.513
Plasma Protein Binding (PPB):   91.887% Volume Distribution (VD):   -0.483
Fu: 4.881%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.576
OATP1B3 inhibitor:   0.893 BCRP inhibitor:   0.975
BSEP inhibitor:   0.145

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   0.475
CYP2C19-inhibitor:   0.208 CYP2C19-substrate:   0.02
CYP2C9-inhibitor:   0.84 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.968 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.207 CYP3A4-substrate:   0.254
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   0.134
?
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):  2.846 Half-life (T1/2):  1.433

ADMET: Toxicity

hERG Blockers:  0.103 hERG Blockers (10um):  0.463
Human Hepatotoxicity (H-HT):  0.538 Drug-induced Liver Injury (DILI):  0.609
AMES Toxicity:  0.683 Rat Oral Acute Toxicity:  0.595
Maximum Recommended Daily Dose:  0.901 Skin Sensitization:  0.567
Carcinogencity:  0.728 Eye Corrosion:  0.001
Eye Irritation:  0.936 Respiratory Toxicity:  0.835
Drug-induced Neurotoxicity:  0.067 Ototoxicity:  0.301
Hematotoxicity:  0.091 Drug-induced Nephrotoxicity:  0.222
Genotoxicity:  0.985 RPMI-8226 Immunitoxicity:  0.131
A549 Cytotoxicity:  0.448 Hek293 Cytotoxicity:  0.723
BCF:   0.9
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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:   3.537
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.784
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.102
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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
NPO40124 Erythrina schliebenii Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[28112509]
NPO40124 Erythrina schliebenii Species 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 NPC500761 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
0.8308 Intermediate Similarity NPC482075
0.75 Intermediate Similarity NPC74178
0.6957 Remote Similarity NPC128774
0.6515 Remote Similarity NPC194653
0.6515 Remote Similarity NPC481044
0.6216 Remote Similarity NPC52889
0.6176 Remote Similarity NPC254702
0.6154 Remote Similarity NPC78341
0.6061 Remote Similarity NPC294409
0.6061 Remote Similarity NPC490701
0.5882 Remote Similarity NPC200316
0.5867 Remote Similarity NPC107838
0.5735 Remote Similarity NPC19980
0.5735 Remote Similarity NPC239363
0.5733 Remote Similarity NPC474052
0.5714 Remote Similarity NPC483637
0.5714 Remote Similarity NPC193792
0.5714 Remote Similarity NPC45291
0.5692 Remote Similarity NPC38065
0.5676 Remote Similarity NPC233918
0.5676 Remote Similarity NPC268059
0.5652 Remote Similarity NPC309154
0.5625 Remote Similarity NPC39426
0.5584 Remote Similarity NPC108859
0.5493 Remote Similarity NPC142876
0.5493 Remote Similarity NPC264550
0.5479 Remote Similarity NPC238279
0.5417 Remote Similarity NPC104728
0.5395 Remote Similarity NPC479305
0.5385 Remote Similarity NPC608554
0.5366 Remote Similarity NPC278968
0.5352 Remote Similarity NPC279668
0.5352 Remote Similarity NPC278323
0.5342 Remote Similarity NPC167595
0.5263 Remote Similarity NPC475705
0.5244 Remote Similarity NPC303174
0.52 Remote Similarity NPC213659
0.52 Remote Similarity NPC326109
0.5125 Remote Similarity NPC474960
0.5063 Remote Similarity NPC231763
0.5063 Remote Similarity NPC303197

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC500761 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
0.5625 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