Natural Product: NPC149873

Natural Product IDNPC149873
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Pinoresinol-4'-O-[4',6'-O-(E)-Diferuloyl]-Beta-D-Glucopyranoside
IUPAC Name [(2R,3S,4R,5R,6S)-6-[4-[(3R,3aS,6R,6aS)-3-(4-hydroxy-3-methoxyphenyl)-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-6-yl]-2-methoxyphenoxy]-4,5-dihydroxy-3-[(E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoyl]oxyoxan-2-yl]methyl (E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2251618
PubChem CID 17755702
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001511] Lignan 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 IKOMYZTZWSQHKE-PEUCKEPFSA-N
Standard InCHI InChI=1S/C46H48O17/c1-54-34-17-24(5-11-30(34)47)7-15-39(50)58-23-38-45(63-40(51)16-8-25-6-12-31(48)35(18-25)55-2)41(52)42(53)46(62-38)61-33-14-10-27(20-37(33)57-4)44-29-22-59-43(28(29)21-60-44)26-9-13-32(49)36(19-26)56-3/h5-20,28-29,38,41-49,52-53H,21-23H2,1-4H3/b15-7+,16-8+/t28-,29-,38-,41-,42-,43+,44+,45-,46-/m1/s1
SMILES COc1cc(ccc1O)/C=C/C(=O)OC[C@@H]1[C@H]([C@@H]([C@H]([C@H](Oc2ccc(cc2OC)[C@H]2[C@@H]3CO[C@@H](c4ccc(c(c4)OC)O)[C@@H]3CO2)O1)O)O)OC(=O)/C=C/c1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   872.29 Volume:   851.527
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Van der Waals volume.
Dense:   1.024 LogP:   2.155
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.257
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.787
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The logarithm of aqueous solubility value.
Rotatable Bonds:   17.0 Rigid Bonds:   43.0
TPSA:   227.59
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   5.0 Rings:   7.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.081 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.204 Fsp3:   0.348
MCE-18:   147.613
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.986 Fluc inhibitor:   1.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.284
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.658
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.136 Promiscuous compounds:   0.234

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.006 MDCK Permeability:   -5.415
Pgp-inhibitor:   0.455 Pgp-substrate:   0.008
PAMPA:   0.001
?
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):   0.003
20% Bioavailability (F20%):   0.91 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.029
Plasma Protein Binding (PPB):   89.619% Volume Distribution (VD):   -0.235
Fu: 11.305%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.884
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.711
CYP2C19-inhibitor:   0.113 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.981 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.675
?
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):  3.274 Half-life (T1/2):  3.923

ADMET: Toxicity

hERG Blockers:  0.086 hERG Blockers (10um):  0.447
Human Hepatotoxicity (H-HT):  0.732 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.897 Rat Oral Acute Toxicity:  0.044
Maximum Recommended Daily Dose:  0.37 Skin Sensitization:  0.999
Carcinogencity:  0.13 Eye Corrosion:  0.0
Eye Irritation:  0.19 Respiratory Toxicity:  0.049
Drug-induced Neurotoxicity:  0.113 Ototoxicity:  0.636
Hematotoxicity:  0.071 Drug-induced Nephrotoxicity:  0.96
Genotoxicity:  0.66 RPMI-8226 Immunitoxicity:  0.51
A549 Cytotoxicity:  0.777 Hek293 Cytotoxicity:  0.808
BCF:   1.004
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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:   3.99
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.279
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.92
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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
NPO33277.1 rhus javanica Under-species n.a. n.a. root n.a. n.a. PMID[17616139]

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
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus EC50 = 190.0 ug.mL-1 PMID[25615796]
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 50.3 % PMID[25615796]

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 NPC149873 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
0.8372 Intermediate Similarity NPC59516
0.7791 Intermediate Similarity NPC11411
0.7333 Intermediate Similarity NPC7191
0.6092 Remote Similarity NPC38041
0.6092 Remote Similarity NPC22150
0.5816 Remote Similarity NPC199311
0.5657 Remote Similarity NPC287615
0.5591 Remote Similarity NPC471405
0.5588 Remote Similarity NPC261122
0.5513 Remote Similarity NPC27843
0.5513 Remote Similarity NPC7171
0.5417 Remote Similarity NPC478055
0.5354 Remote Similarity NPC80732
0.5275 Remote Similarity NPC286235
0.5217 Remote Similarity NPC279298
0.5172 Remote Similarity NPC246947
0.5109 Remote Similarity NPC51328
0.5109 Remote Similarity NPC252402
0.5109 Remote Similarity NPC102934
0.5109 Remote Similarity NPC55158
0.5102 Remote Similarity NPC44730
0.5057 Remote Similarity NPC276753
0.5057 Remote Similarity NPC205796
0.5052 Remote Similarity NPC157816

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC149873 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