Natural Product: NPC59516

Natural Product IDNPC59516
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Syringaresinol-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-3,5-dimethoxyphenyl)-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-6-yl]-2,6-dimethoxyphenoxy]-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 CHEMBL2251620
PubChem CID 17755817
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 XPBIHYWXQUQBSV-XACLWUNASA-N
Standard InCHI InChI=1S/C48H52O19/c1-56-32-15-24(7-11-30(32)49)9-13-39(51)62-23-38-47(66-40(52)14-10-25-8-12-31(50)33(16-25)57-2)42(54)43(55)48(65-38)67-46-36(60-5)19-27(20-37(46)61-6)45-29-22-63-44(28(29)21-64-45)26-17-34(58-3)41(53)35(18-26)59-4/h7-20,28-29,38,42-45,47-50,53-55H,21-23H2,1-6H3/b13-9+,14-10+/t28-,29-,38-,42-,43-,44+,45+,47-,48+/m1/s1
SMILES COc1cc(cc(c1O[C@@H]1O[C@H](COC(=O)/C=C/c2ccc(c(c2)OC)O)[C@H]([C@@H]([C@H]1O)O)OC(=O)/C=C/c1ccc(c(c1)OC)O)OC)[C@@H]1OC[C@@H]2[C@H]1CO[C@H]2c1cc(OC)c(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   932.31 Volume:   903.7
?
Van der Waals volume.
Dense:   1.032 LogP:   1.956
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.137
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.866
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   19.0 Rigid Bonds:   43.0
TPSA:   246.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   5.0 Rings:   7.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.072 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.369 Fsp3:   0.375
MCE-18:   153.333
?
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:   0.974 Fluc inhibitor:   1.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.139
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.649
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.068 Promiscuous compounds:   0.285

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.926 MDCK Permeability:   -5.383
Pgp-inhibitor:   0.848 Pgp-substrate:   0.005
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%):   0.66 30% Bioavailability (F30%):   0.704
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.126
Plasma Protein Binding (PPB):   90.494% Volume Distribution (VD):   -0.27
Fu: 10.87%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.915
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.665
CYP2C19-inhibitor:   0.985 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.028
CYP3A4-inhibitor:   0.341 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.796
?
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):  3.323 Half-life (T1/2):  3.921

ADMET: Toxicity

hERG Blockers:  0.072 hERG Blockers (10um):  0.438
Human Hepatotoxicity (H-HT):  0.75 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.754 Rat Oral Acute Toxicity:  0.071
Maximum Recommended Daily Dose:  0.513 Skin Sensitization:  0.998
Carcinogencity:  0.15 Eye Corrosion:  0.0
Eye Irritation:  0.027 Respiratory Toxicity:  0.051
Drug-induced Neurotoxicity:  0.219 Ototoxicity:  0.743
Hematotoxicity:  0.197 Drug-induced Nephrotoxicity:  0.952
Genotoxicity:  0.482 RPMI-8226 Immunitoxicity:  0.691
A549 Cytotoxicity:  0.863 Hek293 Cytotoxicity:  0.804
BCF:   1.043
?
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:   4.027
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.411
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.992
?
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 = 180.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT786 Organism Tobacco mosaic virus Tobacco mosaic virus Inhibition = 56.1 % DrugMatrix in vitro pharmacology data

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 NPC59516 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 NPC149873
0.6489 Remote Similarity NPC11411
0.6122 Remote Similarity NPC7191
0.57 Remote Similarity NPC199311
0.5667 Remote Similarity NPC51328
0.5667 Remote Similarity NPC252402
0.5667 Remote Similarity NPC102934
0.5667 Remote Similarity NPC55158
0.5545 Remote Similarity NPC287615
0.5481 Remote Similarity NPC261122
0.5393 Remote Similarity NPC216129
0.5393 Remote Similarity NPC130449
0.5393 Remote Similarity NPC248132
0.5248 Remote Similarity NPC80732

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC59516 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