Natural Product: NPC17837

Natural Product IDNPC17837
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Perrottetin E 11'-Methyl Ether
IUPAC Name 2-[4-[2-(3-hydroxyphenyl)ethyl]phenoxy]-4-[2-(3-methoxyphenyl)ethyl]phenol
Synonyms Perrottetin E 11'-Methyl Ether; Perrottetin E-11'-Methyl Ether
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL458919
PubChem CID 14841123
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds

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 NZWFFDGHEUMZNF-UHFFFAOYSA-N
Standard InCHI InChI=1S/C29H28O4/c1-32-27-7-3-5-23(19-27)10-11-24-14-17-28(31)29(20-24)33-26-15-12-21(13-16-26)8-9-22-4-2-6-25(30)18-22/h2-7,12-20,30-31H,8-11H2,1H3
SMILES COc1cccc(CCc2ccc(c(c2)Oc2ccc(CCc3cccc(c3)O)cc2)O)c1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.2 Volume:   479.438
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Van der Waals volume.
Dense:   0.918 LogP:   5.906
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.42
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.308
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   24.0
TPSA:   58.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.313 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.141 Fsp3:   0.172
MCE-18:   21.0
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.597
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.059
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.797
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.625 Promiscuous compounds:   0.098

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.036 MDCK Permeability:   -4.781
Pgp-inhibitor:   0.991 Pgp-substrate:   0.015
PAMPA:   0.008
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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):   0.143
20% Bioavailability (F20%):   0.957 30% Bioavailability (F30%):   0.954
50% Bioavailability (F50%):   0.967

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.038
Plasma Protein Binding (PPB):   98.906% Volume Distribution (VD):   0.278
Fu: 0.444%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.982
OATP1B3 inhibitor:   0.847 BCRP inhibitor:   0.268
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.977 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.985 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.8
CYP2D6-inhibitor:   0.991 CYP2D6-substrate:   0.996
CYP3A4-inhibitor:   0.985 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.354 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
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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):  9.791 Half-life (T1/2):  0.555

ADMET: Toxicity

hERG Blockers:  0.948 hERG Blockers (10um):  0.967
Human Hepatotoxicity (H-HT):  0.729 Drug-induced Liver Injury (DILI):  0.159
AMES Toxicity:  0.624 Rat Oral Acute Toxicity:  0.057
Maximum Recommended Daily Dose:  0.771 Skin Sensitization:  0.803
Carcinogencity:  0.13 Eye Corrosion:  0.001
Eye Irritation:  0.545 Respiratory Toxicity:  0.391
Drug-induced Neurotoxicity:  0.388 Ototoxicity:  0.808
Hematotoxicity:  0.236 Drug-induced Nephrotoxicity:  0.726
Genotoxicity:  0.155 RPMI-8226 Immunitoxicity:  0.094
A549 Cytotoxicity:  0.917 Hek293 Cytotoxicity:  0.962
BCF:   2.003
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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:   5.411
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.275
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.899
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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
NPO33046 liverworts n.a. n.a. n.a. n.a. n.a. n.a. PMID[16378374]
NPO33046 liverworts n.a. n.a. n.a. n.a. n.a. n.a. PMID[21652215]
NPO33046 liverworts n.a. 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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 49850.0 nM PMID[22104973]

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 NPC17837 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
0.8542 High Similarity NPC5948
0.7037 Intermediate Similarity NPC599909
0.7037 Intermediate Similarity NPC604545
0.6557 Remote Similarity NPC599974
0.65 Remote Similarity NPC226193
0.65 Remote Similarity NPC601081
0.6393 Remote Similarity NPC606874
0.6379 Remote Similarity NPC474134
0.6364 Remote Similarity NPC131128
0.625 Remote Similarity NPC601376
0.62 Remote Similarity NPC75440
0.6094 Remote Similarity NPC141023
0.6 Remote Similarity NPC601463
0.5902 Remote Similarity NPC134431
0.5902 Remote Similarity NPC156854
0.5873 Remote Similarity NPC73656
0.5781 Remote Similarity NPC606516
0.5769 Remote Similarity NPC86947
0.5738 Remote Similarity NPC304630
0.5714 Remote Similarity NPC483726
0.5714 Remote Similarity NPC610261
0.566 Remote Similarity NPC53906
0.5522 Remote Similarity NPC474390
0.5522 Remote Similarity NPC210655
0.5472 Remote Similarity NPC22610
0.5469 Remote Similarity NPC483725
0.52 Remote Similarity NPC233599

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC17837 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