Natural Product: NPC471066

Natural Product IDNPC471066
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(5S)-5-Hydroxy-1,7-Bis-(4-Hydroxyphenyl)-3-Heptanone-5-O-Beta-D-Apiofuranosyl-(1->6)-Beta-D-Glucopyranoside
IUPAC Name (5S)-5-[(2R,3R,4S,5S,6R)-6-[[(2R,3R,4S,5R)-3,4-dihydroxy-5-(hydroxymethyl)oxolan-2-yl]oxymethyl]-3,4,5-trihydroxyoxan-2-yl]oxy-1,7-bis(4-hydroxyphenyl)heptan-3-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2346810
PubChem CID 71720155
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids
          • [CHEMONTID:0000356] Curcuminoids

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 UGYZLORFQGTFRN-SHYGZIMPSA-N
Standard InCHI InChI=1S/C30H40O13/c31-14-22-24(35)27(38)29(42-22)40-15-23-25(36)26(37)28(39)30(43-23)41-21(12-6-17-3-9-19(33)10-4-17)13-20(34)11-5-16-1-7-18(32)8-2-16/h1-4,7-10,21-33,35-39H,5-6,11-15H2/t21-,22+,23+,24+,25+,26-,27+,28+,29+,30+/m0/s1
SMILES C1=CC(=CC=C1CCC(CC(=O)CCC2=CC=C(C=C2)O)OC3C(C(C(C(O3)COC4C(C(C(O4)CO)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.25 Volume:   589.028
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Van der Waals volume.
Dense:   1.033 LogP:   -0.119
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.546
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.715
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   24.0
TPSA:   215.83
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.133 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.584 Fsp3:   0.567
MCE-18:   91.34
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.024 Fluc inhibitor:   0.022
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.362
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.298 Promiscuous compounds:   0.115

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.318 MDCK Permeability:   -5.079
Pgp-inhibitor:   0.001 Pgp-substrate:   0.973
PAMPA:   0.999
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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):   0.02
20% Bioavailability (F20%):   0.277 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.082
Plasma Protein Binding (PPB):   75.249% Volume Distribution (VD):   -0.287
Fu: 23.928%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.003
OATP1B3 inhibitor:   0.675 BCRP inhibitor:   0.019
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.997 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.725 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.05 CYP2D6-substrate:   0.461
CYP3A4-inhibitor:   0.019 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.324
HLM stability:   0.248
?
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):  2.229 Half-life (T1/2):  2.492

ADMET: Toxicity

hERG Blockers:  0.222 hERG Blockers (10um):  0.723
Human Hepatotoxicity (H-HT):  0.518 Drug-induced Liver Injury (DILI):  0.063
AMES Toxicity:  0.539 Rat Oral Acute Toxicity:  0.093
Maximum Recommended Daily Dose:  0.373 Skin Sensitization:  0.254
Carcinogencity:  0.055 Eye Corrosion:  0.0
Eye Irritation:  0.018 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.691 Ototoxicity:  0.985
Hematotoxicity:  0.029 Drug-induced Nephrotoxicity:  0.258
Genotoxicity:  0.088 RPMI-8226 Immunitoxicity:  0.042
A549 Cytotoxicity:  0.068 Hek293 Cytotoxicity:  0.931
BCF:   0.583
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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:   3.088
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.009
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.021
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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
NPO32876 alnus hirsuta f. sibirica Species Betulaceae Eukaryota n.a. n.a. n.a. PMID[23465614]
NPO32876 alnus hirsuta f. sibirica Species Betulaceae 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
NPT520 Cell line 3T3-L1 Mus musculus Activity = 24.8 % PMID[21377877]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 34.6 % DOI[10.6019/CHEMBL1201861]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 88.4 % PMID[16472241]

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 NPC471066 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
0.8125 Intermediate Similarity NPC471095
0.803 Intermediate Similarity NPC164172
0.8 Intermediate Similarity NPC17968
0.8 Intermediate Similarity NPC469705
0.7903 Intermediate Similarity NPC282409
0.7903 Intermediate Similarity NPC469702
0.7727 Intermediate Similarity NPC471067
0.7258 Intermediate Similarity NPC158673
0.6667 Remote Similarity NPC293686
0.6618 Remote Similarity NPC158325
0.6618 Remote Similarity NPC193018
0.6522 Remote Similarity NPC476407
0.6429 Remote Similarity NPC476448
0.6429 Remote Similarity NPC469548
0.6429 Remote Similarity NPC476445
0.6351 Remote Similarity NPC232454
0.6351 Remote Similarity NPC470907
0.6351 Remote Similarity NPC178449
0.6133 Remote Similarity NPC469696
0.6029 Remote Similarity NPC103398
0.6029 Remote Similarity NPC608691
0.5882 Remote Similarity NPC160854
0.5882 Remote Similarity NPC201402
0.5882 Remote Similarity NPC469704
0.5882 Remote Similarity NPC469703
0.5781 Remote Similarity NPC148055
0.5753 Remote Similarity NPC180171
0.5405 Remote Similarity NPC79715
0.5405 Remote Similarity NPC108659
0.5375 Remote Similarity NPC469549
0.5169 Remote Similarity NPC212808
0.5152 Remote Similarity NPC157338
0.507 Remote Similarity NPC57751

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471066 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