Natural Product: NPC9933

Natural Product IDNPC9933
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2S,3R,4R)-3Alpha-[(Beta-D-Glucopyranosyl)Oxy]Lyoniresinol
IUPAC Name (2R,3R,4S,5S,6R)-2-[[(1R,2R,3S)-7-hydroxy-1-(4-hydroxy-3,5-dimethoxyphenyl)-3-(hydroxymethyl)-6,8-dimethoxy-1,2,3,4-tetrahydronaphthalen-2-yl]methoxy]-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1813179
PubChem CID 44178645
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 PQQRNPDHSJDAGV-OMSDARFTSA-N
Standard InCHI InChI=1S/C28H38O13/c1-36-16-7-13(8-17(37-2)22(16)31)20-15(11-40-28-26(35)25(34)23(32)19(10-30)41-28)14(9-29)5-12-6-18(38-3)24(33)27(39-4)21(12)20/h6-8,14-15,19-20,23,25-26,28-35H,5,9-11H2,1-4H3/t14-,15+,19-,20+,23-,25+,26-,28-/m1/s1
SMILES OC[C@H]1Cc2cc(OC)c(c(c2[C@H]([C@H]1CO[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)O)O)c1cc(OC)c(c(c1)OC)O)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   582.23 Volume:   557.072
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Van der Waals volume.
Dense:   1.045 LogP:   0.219
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.753
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.279
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   23.0
TPSA:   196.99
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.196 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.6 Fsp3:   0.571
MCE-18:   98.864
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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:   0.492 Fluc inhibitor:   0.092
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.063
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.247
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.053 Promiscuous compounds:   0.135

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.975 MDCK Permeability:   -5.367
Pgp-inhibitor:   0.001 Pgp-substrate:   0.919
PAMPA:   0.087
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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):   0.601
20% Bioavailability (F20%):   0.738 30% Bioavailability (F30%):   0.978
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.044 MRP1:   0.955
Plasma Protein Binding (PPB):   84.803% Volume Distribution (VD):   -0.365
Fu: 17.821%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.282
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.044 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.048 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.044
CYP3A4-inhibitor:   0.927 CYP3A4-substrate:   0.169
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.987
HLM stability:   0.729
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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):  2.573 Half-life (T1/2):  3.444

ADMET: Toxicity

hERG Blockers:  0.038 hERG Blockers (10um):  0.091
Human Hepatotoxicity (H-HT):  0.738 Drug-induced Liver Injury (DILI):  0.709
AMES Toxicity:  0.72 Rat Oral Acute Toxicity:  0.059
Maximum Recommended Daily Dose:  0.074 Skin Sensitization:  0.993
Carcinogencity:  0.41 Eye Corrosion:  0.0
Eye Irritation:  0.011 Respiratory Toxicity:  0.119
Drug-induced Neurotoxicity:  0.133 Ototoxicity:  0.985
Hematotoxicity:  0.746 Drug-induced Nephrotoxicity:  0.887
Genotoxicity:  0.17 RPMI-8226 Immunitoxicity:  0.348
A549 Cytotoxicity:  0.94 Hek293 Cytotoxicity:  0.755
BCF:   0.507
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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:   3.067
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.677
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.727
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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
NPO1338 Arcangelisia gusanlung Species Menispermaceae Eukaryota n.a. stem n.a. PMID[21500777]
NPO1338 Arcangelisia gusanlung Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1338 Arcangelisia gusanlung Species Menispermaceae 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
NPT43 Individual protein Tyrosinase Agaricus bisporus IC50 > 1000000.0 nM PMID[21500777]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

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 NPC9933 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 NPC185955
1.0 High Similarity NPC145979
1.0 High Similarity NPC469706
1.0 High Similarity NPC218041
1.0 High Similarity NPC214326
1.0 High Similarity NPC260781
0.8657 High Similarity NPC225815
0.8657 High Similarity NPC602887
0.7971 Intermediate Similarity NPC90208
0.7941 Intermediate Similarity NPC182368
0.7941 Intermediate Similarity NPC606312
0.7067 Intermediate Similarity NPC272619
0.6582 Remote Similarity NPC171893
0.6582 Remote Similarity NPC278820
0.6429 Remote Similarity NPC5262
0.6125 Remote Similarity NPC286245
0.5758 Remote Similarity NPC230124
0.5758 Remote Similarity NPC6300
0.5758 Remote Similarity NPC114171
0.5541 Remote Similarity NPC278961
0.5541 Remote Similarity NPC113680
0.5513 Remote Similarity NPC606627
0.5467 Remote Similarity NPC472714
0.5432 Remote Similarity NPC471065
0.5432 Remote Similarity NPC604724
0.5395 Remote Similarity NPC118385
0.5217 Remote Similarity NPC470270
0.5139 Remote Similarity NPC184613
0.5068 Remote Similarity NPC132895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC9933 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