Natural Product: NPC158188

Natural Product IDNPC158188
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Quiquelignan A
IUPAC Name (2S)-2-[4-[(1S,2S)-1-ethoxy-3-hydroxy-1-(4-hydroxy-3-methoxyphenyl)propan-2-yl]oxy-3,5-dimethoxyphenyl]-5,7-dihydroxy-2,3-dihydrochromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL598315
PubChem CID 46232229
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002595] 3'-O-methylated flavonoids

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 FEQZBFHFXKCFBZ-PTJQVGQKSA-N
Standard InCHI InChI=1S/C29H32O11/c1-5-38-28(15-6-7-18(32)22(8-15)35-2)26(14-30)40-29-24(36-3)9-16(10-25(29)37-4)21-13-20(34)27-19(33)11-17(31)12-23(27)39-21/h6-12,21,26,28,30-33H,5,13-14H2,1-4H3/t21-,26-,28-/m0/s1
SMILES CCO[C@@H](c1ccc(c(c1)OC)O)[C@@H](Oc1c(OC)cc(cc1OC)[C@@H]1CC(=O)c2c(O1)cc(cc2O)O)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   556.19 Volume:   546.242
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Van der Waals volume.
Dense:   1.018 LogP:   2.288
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.511
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.506
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   24.0
TPSA:   153.37
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.27 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.987 Fsp3:   0.345
MCE-18:   83.769
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.464 Fluc inhibitor:   0.3
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.046
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.729
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.095 Promiscuous compounds:   0.2

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.205 MDCK Permeability:   -4.844
Pgp-inhibitor:   0.58 Pgp-substrate:   0.006
PAMPA:   0.042
?
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):   0.0
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.525
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.916
Plasma Protein Binding (PPB):   95.273% Volume Distribution (VD):   0.062
Fu: 3.894%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.992
BSEP inhibitor:   0.956

ADMET: Metabolism

CYP1A2-inhibitor:   0.993 CYP1A2-substrate:   0.02
CYP2C19-inhibitor:   0.391 CYP2C19-substrate:   0.628
CYP2C9-inhibitor:   0.014 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.179 CYP2D6-substrate:   0.967
CYP3A4-inhibitor:   0.632 CYP3A4-substrate:   0.731
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.755
?
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):  5.786 Half-life (T1/2):  1.815

ADMET: Toxicity

hERG Blockers:  0.176 hERG Blockers (10um):  0.377
Human Hepatotoxicity (H-HT):  0.919 Drug-induced Liver Injury (DILI):  0.97
AMES Toxicity:  0.91 Rat Oral Acute Toxicity:  0.389
Maximum Recommended Daily Dose:  0.812 Skin Sensitization:  0.967
Carcinogencity:  0.694 Eye Corrosion:  0.0
Eye Irritation:  0.156 Respiratory Toxicity:  0.275
Drug-induced Neurotoxicity:  0.782 Ototoxicity:  0.835
Hematotoxicity:  0.323 Drug-induced Nephrotoxicity:  0.915
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.379
A549 Cytotoxicity:  0.979 Hek293 Cytotoxicity:  0.954
BCF:   1.265
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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:   3.812
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.431
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.443
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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
NPO32697 calamus quiquesetinervius Species n.a. n.a. n.a. n.a. n.a. PMID[20056545]
NPO32697 calamus quiquesetinervius Species n.a. n.a. n.a. n.a. n.a. PMID[20825224]
NPO32697 calamus quiquesetinervius Species n.a. n.a. 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 27400.0 nM PMID[20056545]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 100000.0 nM PMID[20056545]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 200000.0 nM PMID[20056545]

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 NPC158188 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
0.7349 Intermediate Similarity NPC476365
0.6812 Remote Similarity NPC236637
0.6087 Remote Similarity NPC338131
0.5765 Remote Similarity NPC602605
0.5647 Remote Similarity NPC138688
0.5647 Remote Similarity NPC72787
0.5647 Remote Similarity NPC217795
0.5647 Remote Similarity NPC58223
0.5616 Remote Similarity NPC302950
0.5529 Remote Similarity NPC36916
0.5529 Remote Similarity NPC36
0.5529 Remote Similarity NPC7154
0.5529 Remote Similarity NPC125039
0.5529 Remote Similarity NPC7688
0.5352 Remote Similarity NPC32441
0.5352 Remote Similarity NPC79943
0.5342 Remote Similarity NPC321011
0.5342 Remote Similarity NPC294852
0.5342 Remote Similarity NPC188679
0.5256 Remote Similarity NPC477841
0.525 Remote Similarity NPC108456
0.5205 Remote Similarity NPC274784
0.5205 Remote Similarity NPC20709
0.5195 Remote Similarity NPC326037
0.5195 Remote Similarity NPC13858
0.5132 Remote Similarity NPC474836
0.5116 Remote Similarity NPC475784
0.506 Remote Similarity NPC473990
0.5056 Remote Similarity NPC236934

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC158188 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
0.5616 Remote Similarity NPD1934 Phase 0
0.5529 Remote Similarity NPD6166 Phase 2
0.5529 Remote Similarity NPD6167 Clinical (unspecified phase)
0.5529 Remote Similarity NPD6168 Clinical (unspecified phase)
0.5352 Remote Similarity NPD1552 Clinical (unspecified phase)

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