Natural Product: NPC6511

Natural Product IDNPC6511
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Erythraddison A
IUPAC Name 5-hydroxy-10-(hydroxymethyl)-7-(4-hydroxyphenyl)-2,2-dimethylpyrano[3,2-g]chromen-6-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1271772
PubChem CID 50899658
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0001612] Isoflavans
          • [CHEMONTID:0001827] Isoflavanones
            • [CHEMONTID:0003526] 6-prenylated isoflavanones

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 YJZULEGLRQGVFQ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H18O6/c1-21(2)8-7-13-17(24)16-18(25)15(11-3-5-12(23)6-4-11)10-26-20(16)14(9-22)19(13)27-21/h3-8,10,22-24H,9H2,1-2H3
SMILES CC1(C)C=Cc2c(c3c(=O)c(coc3c(CO)c2O1)c1ccc(cc1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   366.11 Volume:   366.56
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Van der Waals volume.
Dense:   0.999 LogP:   2.2
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.257
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.131
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   23.0
TPSA:   100.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.641 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.029 Fsp3:   0.19
MCE-18:   52.0
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.42 Fluc inhibitor:   0.513
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.683
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.664
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.136 Promiscuous compounds:   0.356

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.015 MDCK Permeability:   -4.751
Pgp-inhibitor:   0.112 Pgp-substrate:   0.024
PAMPA:   0.929
?
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):   0.011
20% Bioavailability (F20%):   0.704 30% Bioavailability (F30%):   0.964
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.258 MRP1:   0.753
Plasma Protein Binding (PPB):   93.925% Volume Distribution (VD):   -0.027
Fu: 5.082%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.986
OATP1B3 inhibitor:   0.574 BCRP inhibitor:   0.806
BSEP inhibitor:   0.984

ADMET: Metabolism

CYP1A2-inhibitor:   0.415 CYP1A2-substrate:   0.607
CYP2C19-inhibitor:   0.055 CYP2C19-substrate:   0.815
CYP2C9-inhibitor:   0.271 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.008 CYP2D6-substrate:   0.679
CYP3A4-inhibitor:   0.447 CYP3A4-substrate:   0.922
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   0.998
HLM stability:   0.376
?
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):  4.906 Half-life (T1/2):  1.347

ADMET: Toxicity

hERG Blockers:  0.088 hERG Blockers (10um):  0.432
Human Hepatotoxicity (H-HT):  0.584 Drug-induced Liver Injury (DILI):  0.394
AMES Toxicity:  0.593 Rat Oral Acute Toxicity:  0.457
Maximum Recommended Daily Dose:  0.691 Skin Sensitization:  0.696
Carcinogencity:  0.851 Eye Corrosion:  0.002
Eye Irritation:  0.821 Respiratory Toxicity:  0.585
Drug-induced Neurotoxicity:  0.358 Ototoxicity:  0.413
Hematotoxicity:  0.172 Drug-induced Nephrotoxicity:  0.197
Genotoxicity:  0.814 RPMI-8226 Immunitoxicity:  0.074
A549 Cytotoxicity:  0.09 Hek293 Cytotoxicity:  0.526
BCF:   1.501
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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:   4.13
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.631
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.009
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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
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota Stems; Barks n.a. n.a. PMID[12828487]
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[17517504]
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota Barks n.a. n.a. PMID[18302333]
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[20934335]
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[23022281]
NPO27387 Erythrina addisoniae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27387 Erythrina addisoniae Species Fabaceae 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
NPT493 Individual protein Neuraminidase Influenza A virus IC50 > 50.0 ug.mL-1 PMID[19715320]

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 NPC6511 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
0.7612 Intermediate Similarity NPC237635
0.7123 Intermediate Similarity NPC470681
0.6806 Remote Similarity NPC484044
0.6667 Remote Similarity NPC170026
0.6667 Remote Similarity NPC201731
0.6618 Remote Similarity NPC97716
0.64 Remote Similarity NPC200625
0.6143 Remote Similarity NPC24673
0.5897 Remote Similarity NPC188403
0.5844 Remote Similarity NPC79469
0.5844 Remote Similarity NPC282307
0.5821 Remote Similarity NPC483565
0.5775 Remote Similarity NPC600644
0.5714 Remote Similarity NPC327269
0.5625 Remote Similarity NPC91701
0.5584 Remote Similarity NPC31627
0.5526 Remote Similarity NPC84124
0.5373 Remote Similarity NPC295384
0.5316 Remote Similarity NPC484043
0.5205 Remote Similarity NPC204985
0.519 Remote Similarity NPC184755
0.5128 Remote Similarity NPC184547
0.5128 Remote Similarity NPC15435
0.5122 Remote Similarity NPC476238
0.5063 Remote Similarity NPC214236
0.5062 Remote Similarity NPC233502
0.506 Remote Similarity NPC28241

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC6511 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