Natural Product: NPC90208

Natural Product IDNPC90208
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PACBNJFGEWTGCE-HQSXISOASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 71716979
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 PACBNJFGEWTGCE-HQSXISOASA-N
Standard InCHI InChI=1S/C28H38O13/c1-36-16-7-13(8-17(37-2)22(16)31)20-15(9-29)14(5-12-6-18(38-3)24(33)27(39-4)21(12)20)11-40-28-26(35)25(34)23(32)19(10-30)41-28/h6-8,14-15,19-20,23,25-26,28-35H,5,9-11H2,1-4H3/t14-,15-,19+,20+,23+,25-,26+,28+/m0/s1
SMILES COc1cc(cc(c1O)OC)[C@@H]1[C@@H](CO)[C@@H](Cc2cc(c(c(c12)OC)O)OC)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   582.23 Volume:   557.072
?
Van der Waals volume.
Dense:   1.045 LogP:   0.716
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.267
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.776
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   23.0
TPSA:   196.99
?
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
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.613 Fsp3:   0.571
MCE-18:   98.864
?
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:   0.509 Fluc inhibitor:   0.133
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.063
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.234
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.053 Promiscuous compounds:   0.119

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.164 MDCK Permeability:   -5.411
Pgp-inhibitor:   0.011 Pgp-substrate:   0.821
PAMPA:   0.03
?
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):   0.174
20% Bioavailability (F20%):   0.058 30% Bioavailability (F30%):   0.67
50% Bioavailability (F50%):   0.976

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.056 MRP1:   0.932
Plasma Protein Binding (PPB):   87.82% Volume Distribution (VD):   -0.272
Fu: 15.298%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.453
BSEP inhibitor:   0.022

ADMET: Metabolism

CYP1A2-inhibitor:   0.056 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.061
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.996 CYP3A4-substrate:   0.993
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.077
?
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):  2.516 Half-life (T1/2):  3.145

ADMET: Toxicity

hERG Blockers:  0.022 hERG Blockers (10um):  0.083
Human Hepatotoxicity (H-HT):  0.742 Drug-induced Liver Injury (DILI):  0.732
AMES Toxicity:  0.679 Rat Oral Acute Toxicity:  0.034
Maximum Recommended Daily Dose:  0.06 Skin Sensitization:  0.989
Carcinogencity:  0.24 Eye Corrosion:  0.0
Eye Irritation:  0.023 Respiratory Toxicity:  0.066
Drug-induced Neurotoxicity:  0.038 Ototoxicity:  0.978
Hematotoxicity:  0.568 Drug-induced Nephrotoxicity:  0.578
Genotoxicity:  0.108 RPMI-8226 Immunitoxicity:  0.221
A549 Cytotoxicity:  0.677 Hek293 Cytotoxicity:  0.443
BCF:   0.647
?
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:   3.33
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.937
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.04
?
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
NPO22437 Eurya japonica Species Pentaphylacaceae Eukaryota n.a. n.a. n.a. PMID[23540981]
NPO22437 Eurya japonica Species Pentaphylacaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22437 Eurya japonica Species Pentaphylacaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22437 Eurya japonica Species Pentaphylacaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22437 Eurya japonica Species Pentaphylacaceae 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
NPT113 Cell line RAW264.7 Mus musculus Activity = 100.62 % PMID[23540981]
NPT113 Cell line RAW264.7 Mus musculus Activity = 39.22 % PMID[23540981]
NPT1 Others Radical scavenging activity n.a. ED50 = 37.65 uM PMID[23540981]

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 NPC90208 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
0.7971 Intermediate Similarity NPC185955
0.7971 Intermediate Similarity NPC9933
0.7971 Intermediate Similarity NPC145979
0.7971 Intermediate Similarity NPC469706
0.7971 Intermediate Similarity NPC218041
0.7971 Intermediate Similarity NPC214326
0.7971 Intermediate Similarity NPC260781
0.6892 Remote Similarity NPC225815
0.6892 Remote Similarity NPC602887
0.6667 Remote Similarity NPC5262
0.6582 Remote Similarity NPC171893
0.6582 Remote Similarity NPC278820
0.6267 Remote Similarity NPC182368
0.6267 Remote Similarity NPC606312
0.5972 Remote Similarity NPC278961
0.5972 Remote Similarity NPC113680
0.5921 Remote Similarity NPC606627
0.5758 Remote Similarity NPC230124
0.5758 Remote Similarity NPC6300
0.5758 Remote Similarity NPC114171
0.5676 Remote Similarity NPC472714
0.561 Remote Similarity NPC272619
0.5395 Remote Similarity NPC118385
0.5217 Remote Similarity NPC470270
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 NPC90208 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