Natural Product: NPC160991

Natural Product IDNPC160991
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(+)-Threo-Guaiacylglycerol-Beta-O-4'-Sinapyl Ether
IUPAC Name (1R,2R)-1-(4-hydroxy-3-methoxyphenyl)-2-[4-[(E)-3-hydroxyprop-1-enyl]-2,6-dimethoxyphenoxy]propane-1,3-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2268766
PubChem CID 76326750
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 JVQPMSYMHZSFNV-WEPWYQGCSA-N
Standard InCHI InChI=1S/C21H26O8/c1-26-16-11-14(6-7-15(16)24)20(25)19(12-23)29-21-17(27-2)9-13(5-4-8-22)10-18(21)28-3/h4-7,9-11,19-20,22-25H,8,12H2,1-3H3/b5-4+/t19-,20-/m1/s1
SMILES OC/C=C/c1cc(OC)c(c(c1)OC)O[C@@H]([C@@H](c1ccc(c(c1)OC)O)O)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   406.16 Volume:   406.526
?
Van der Waals volume.
Dense:   0.999 LogP:   1.072
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.4
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.925
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   13.0
TPSA:   117.84
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   2.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.473 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.349 Fsp3:   0.333
MCE-18:   30.0
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.454 Fluc inhibitor:   0.706
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.069
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.374
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.28 Promiscuous compounds:   0.463

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.157 MDCK Permeability:   -4.933
Pgp-inhibitor:   0.013 Pgp-substrate:   0.031
PAMPA:   0.56
?
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):   0.0
20% Bioavailability (F20%):   0.085 30% Bioavailability (F30%):   0.298
50% Bioavailability (F50%):   0.974

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.371
Plasma Protein Binding (PPB):   77.837% Volume Distribution (VD):   0.098
Fu: 24.923%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.994
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.424
BSEP inhibitor:   0.462

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.053 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.07 CYP2C9-substrate:   0.185
CYP2D6-inhibitor:   0.996 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.019 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.792
HLM stability:   0.351
?
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):  8.44 Half-life (T1/2):  1.732

ADMET: Toxicity

hERG Blockers:  0.084 hERG Blockers (10um):  0.381
Human Hepatotoxicity (H-HT):  0.836 Drug-induced Liver Injury (DILI):  0.183
AMES Toxicity:  0.38 Rat Oral Acute Toxicity:  0.05
Maximum Recommended Daily Dose:  0.277 Skin Sensitization:  0.789
Carcinogencity:  0.177 Eye Corrosion:  0.0
Eye Irritation:  0.486 Respiratory Toxicity:  0.139
Drug-induced Neurotoxicity:  0.422 Ototoxicity:  0.797
Hematotoxicity:  0.133 Drug-induced Nephrotoxicity:  0.613
Genotoxicity:  0.217 RPMI-8226 Immunitoxicity:  0.102
A549 Cytotoxicity:  0.153 Hek293 Cytotoxicity:  0.198
BCF:   0.348
?
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:   2.795
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.322
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.412
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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
NPO9642 Brassica fruticulosa Species Brassicaceae Eukaryota n.a. n.a. n.a. PMID[14518939]
NPO9642 Brassica fruticulosa Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9642 Brassica fruticulosa Species Brassicaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 23530.0 nM PMID[26774654]

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 NPC160991 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
1.0 High Similarity NPC7903
0.8182 Intermediate Similarity NPC267291
0.7885 Intermediate Similarity NPC184447
0.7857 Intermediate Similarity NPC147821
0.7857 Intermediate Similarity NPC319625
0.7857 Intermediate Similarity NPC183181
0.7857 Intermediate Similarity NPC41706
0.7059 Intermediate Similarity NPC260397
0.7037 Intermediate Similarity NPC310854
0.6724 Remote Similarity NPC16208
0.6557 Remote Similarity NPC476387
0.6557 Remote Similarity NPC237594
0.6557 Remote Similarity NPC119060
0.6393 Remote Similarity NPC481839
0.623 Remote Similarity NPC75695
0.6167 Remote Similarity NPC114901
0.6167 Remote Similarity NPC48990
0.6094 Remote Similarity NPC470098
0.6094 Remote Similarity NPC473266
0.6061 Remote Similarity NPC470097
0.597 Remote Similarity NPC470826
0.5946 Remote Similarity NPC470769
0.5833 Remote Similarity NPC9370
0.5833 Remote Similarity NPC287495
0.5789 Remote Similarity NPC470828
0.5769 Remote Similarity NPC78918
0.5769 Remote Similarity NPC139617
0.5645 Remote Similarity NPC58607
0.5645 Remote Similarity NPC191037
0.5645 Remote Similarity NPC178284
0.5645 Remote Similarity NPC601893
0.55 Remote Similarity NPC35932
0.55 Remote Similarity NPC470827
0.5484 Remote Similarity NPC203831
0.5469 Remote Similarity NPC111247
0.5469 Remote Similarity NPC292056
0.5342 Remote Similarity NPC43065
0.5342 Remote Similarity NPC473236
0.527 Remote Similarity NPC324517
0.527 Remote Similarity NPC321972
0.527 Remote Similarity NPC469559
0.5238 Remote Similarity NPC170694
0.5231 Remote Similarity NPC163332
0.5224 Remote Similarity NPC224876
0.5224 Remote Similarity NPC472969
0.52 Remote Similarity NPC475250
0.5195 Remote Similarity NPC470413

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC160991 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