Natural Product: NPC139966

Natural Product IDNPC139966
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 6-Beta-C-Glucopyranosyl-5,7-Dihydroxy-2-Isopropylchromone
IUPAC Name 5,7-dihydroxy-2-propan-2-yl-6-[(2S,3R,4R,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465160
PubChem CID 5317687
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0004165] Phenolic glycosides

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 NSNHBTNFVNVELM-PWUYNPNPSA-N
Standard InCHI InChI=1S/C18H22O9/c1-6(2)9-3-7(20)12-10(26-9)4-8(21)13(15(12)23)18-17(25)16(24)14(22)11(5-19)27-18/h3-4,6,11,14,16-19,21-25H,5H2,1-2H3/t11-,14-,16+,17-,18+/m1/s1
SMILES CC(C)c1cc(=O)c2c(cc(c(c2O)[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O)o1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   382.13 Volume:   360.145
?
Van der Waals volume.
Dense:   1.061 LogP:   0.256
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.189
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.185
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   18.0
TPSA:   160.82
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Topological Polar Surface Area.
 H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.424 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.104 Fsp3:   0.5
MCE-18:   74.148
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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:   0.624 Fluc inhibitor:   0.038
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.343
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.341
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.192 Promiscuous compounds:   0.207

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.73 MDCK Permeability:   -5.22
Pgp-inhibitor:   0.003 Pgp-substrate:   0.416
PAMPA:   0.99
?
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):   0.821
20% Bioavailability (F20%):   0.63 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.822
Plasma Protein Binding (PPB):   87.09% Volume Distribution (VD):   -0.139
Fu: 11.947%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.504
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.05
BSEP inhibitor:   0.614

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.136 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.033
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.027
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.699
HLM stability:   0.119
?
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):  3.735 Half-life (T1/2):  4.359

ADMET: Toxicity

hERG Blockers:  0.015 hERG Blockers (10um):  0.134
Human Hepatotoxicity (H-HT):  0.646 Drug-induced Liver Injury (DILI):  0.944
AMES Toxicity:  0.799 Rat Oral Acute Toxicity:  0.071
Maximum Recommended Daily Dose:  0.123 Skin Sensitization:  0.96
Carcinogencity:  0.4 Eye Corrosion:  0.0
Eye Irritation:  0.539 Respiratory Toxicity:  0.056
Drug-induced Neurotoxicity:  0.01 Ototoxicity:  0.802
Hematotoxicity:  0.171 Drug-induced Nephrotoxicity:  0.298
Genotoxicity:  0.842 RPMI-8226 Immunitoxicity:  0.138
A549 Cytotoxicity:  0.279 Hek293 Cytotoxicity:  0.338
BCF:   0.374
?
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:   3.044
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.479
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.612
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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
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. leaf n.a. DOI[10.1016/S0031-9422(98)00534-2]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[12932146]
NPO22637 Kunzea ambigua Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[15043420]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota aerial parts Nanning, Guangxi Province, China 2014-OCT PMID[28753309]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[39064968]
NPO22637 Kunzea ambigua Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11277 Baeckea frutescens Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22637 Kunzea ambigua Species Myrtaceae 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

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT80 Cell line Raji Homo sapiens Activity = 70.0 % PMID[15043420]
NPT80 Cell line Raji Homo sapiens Activity = 80.0 % PMID[15043420]
NPT2 Others Unspecified n.a. Inhibition = 4.6 % PMID[15043420]
NPT2 Others Unspecified n.a. Inhibition = 23.7 % PMID[15043420]
NPT2 Others Unspecified n.a. Inhibition = 65.0 % PMID[15043420]
NPT2 Others Unspecified n.a. Inhibition = 91.0 % PMID[15043420]

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 NPC139966 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
0.8136 Intermediate Similarity NPC10097
0.6716 Remote Similarity NPC307052
0.625 Remote Similarity NPC328740
0.625 Remote Similarity NPC289774
0.6164 Remote Similarity NPC53545
0.6143 Remote Similarity NPC228383
0.6143 Remote Similarity NPC239644
0.6053 Remote Similarity NPC13481
0.589 Remote Similarity NPC289771
0.589 Remote Similarity NPC268193
0.5625 Remote Similarity NPC111249
0.5542 Remote Similarity NPC603300
0.5493 Remote Similarity NPC55597
0.52 Remote Similarity NPC471789

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC139966 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