Natural Product: NPC201402

Natural Product IDNPC201402
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3R)-1,7-Bis-(3,4-Dihydroxyphenyl)-3-Heptanol-3-O-Beta-D-Glucopyranoside
IUPAC Name (2R,3R,4S,5S,6R)-2-[(3R)-1,7-bis(4-hydroxyphenyl)heptan-3-yl]oxy-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2346805
PubChem CID 21637601
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids

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 MAUAGULXOHJIER-RRLSKXGXSA-N
Standard InCHI InChI=1S/C25H34O8/c26-15-21-22(29)23(30)24(31)25(33-21)32-20(14-9-17-7-12-19(28)13-8-17)4-2-1-3-16-5-10-18(27)11-6-16/h5-8,10-13,20-31H,1-4,9,14-15H2/t20-,21-,22-,23+,24-,25-/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@@H](CCc2ccc(cc2)O)CCCCc2ccc(cc2)O)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   462.23 Volume:   469.79
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Van der Waals volume.
Dense:   0.984 LogP:   1.539
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.62
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.839
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   18.0
TPSA:   139.84
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   6.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.277 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.791 Fsp3:   0.52
MCE-18:   62.0
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.555 Fluc inhibitor:   0.152
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.031
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.078
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.206 Promiscuous compounds:   0.143

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.205 MDCK Permeability:   -5.079
Pgp-inhibitor:   0.006 Pgp-substrate:   0.724
PAMPA:   0.895
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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):   0.021
20% Bioavailability (F20%):   0.203 30% Bioavailability (F30%):   0.993
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.025
Plasma Protein Binding (PPB):   90.07% Volume Distribution (VD):   0.019
Fu: 9.952%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.991 BCRP inhibitor:   0.174
BSEP inhibitor:   0.859

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.093
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.556
CYP2D6-inhibitor:   0.99 CYP2D6-substrate:   0.874
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.29
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.991
HLM stability:   0.737
?
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):  3.368 Half-life (T1/2):  1.704

ADMET: Toxicity

hERG Blockers:  0.343 hERG Blockers (10um):  0.789
Human Hepatotoxicity (H-HT):  0.571 Drug-induced Liver Injury (DILI):  0.455
AMES Toxicity:  0.29 Rat Oral Acute Toxicity:  0.019
Maximum Recommended Daily Dose:  0.089 Skin Sensitization:  0.997
Carcinogencity:  0.035 Eye Corrosion:  0.001
Eye Irritation:  0.322 Respiratory Toxicity:  0.062
Drug-induced Neurotoxicity:  0.043 Ototoxicity:  0.929
Hematotoxicity:  0.047 Drug-induced Nephrotoxicity:  0.763
Genotoxicity:  0.007 RPMI-8226 Immunitoxicity:  0.06
A549 Cytotoxicity:  0.806 Hek293 Cytotoxicity:  0.907
BCF:   1.69
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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:   4.566
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.598
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.145
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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 = 98.1 % PubChem BioAssay data set
NPT520 Cell line 3T3-L1 Mus musculus Activity = 103.1 % PMID[21044847]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 76.0 % PMID[12398540]
NPT1182 Cell line J774.A1 Mus musculus IC50 = 100000.0 nM PMID[33422907]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 24.0 % PMID[33422907]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT32 Organism Mus musculus Mus musculus ID50 = 0.66 mg PMID[33422907]





 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 NPC201402 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
0.8214 Intermediate Similarity NPC264900
0.7869 Intermediate Similarity NPC471067
0.7241 Intermediate Similarity NPC160854
0.7241 Intermediate Similarity NPC17968
0.7241 Intermediate Similarity NPC469705
0.7241 Intermediate Similarity NPC469704
0.7241 Intermediate Similarity NPC469703
0.7222 Intermediate Similarity NPC148055
0.7 Intermediate Similarity NPC469686
0.6866 Remote Similarity NPC232454
0.6866 Remote Similarity NPC470907
0.6866 Remote Similarity NPC178449
0.6765 Remote Similarity NPC184092
0.6562 Remote Similarity NPC79715
0.6562 Remote Similarity NPC108659
0.6 Remote Similarity NPC199459
0.5938 Remote Similarity NPC94179
0.5938 Remote Similarity NPC231607
0.5938 Remote Similarity NPC293686
0.5882 Remote Similarity NPC471066
0.5846 Remote Similarity NPC282409
0.5846 Remote Similarity NPC469702
0.5833 Remote Similarity NPC602133
0.5593 Remote Similarity NPC157338
0.5571 Remote Similarity NPC254275
0.5429 Remote Similarity NPC52277
0.5405 Remote Similarity NPC469687
0.5231 Remote Similarity NPC158673
0.5211 Remote Similarity NPC471095
0.5205 Remote Similarity NPC164172
0.5085 Remote Similarity NPC175771
0.5079 Remote Similarity NPC200988
0.5079 Remote Similarity NPC145023
0.507 Remote Similarity NPC476448
0.507 Remote Similarity NPC469548
0.507 Remote Similarity NPC476445

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC201402 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