Natural Product: NPC471190

Natural Product IDNPC471190
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Euoluchumine
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2386526
PubChem CID 73348900
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives

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 VXQHTUMJTUETTQ-OWKYXKTCSA-N
Standard InCHI InChI=1S/C39H45NO16/c1-18-19(2)33(46)54-30-27(44)31(55-34(47)23-12-9-8-10-13-23)38(17-50-20(3)41)32(53-22(5)43)28(52-21(4)42)25-29(45)39(38,37(30,7)49)56-36(25,6)16-51-35(48)24-14-11-15-40-26(18)24/h8-15,18-19,25,27-32,44-45,49H,16-17H2,1-7H3/t18-,19-,25-,27+,28-,29-,30-,31+,32-,36?,37?,38+,39+/m1/s1
SMILES CC(=O)O[C@H]1[C@@H](OC(=O)C)[C@]2(COC(=O)C)[C@@H](OC(=O)c3ccccc3)[C@@H](O)[C@@H]3C([C@]42[C@@H]([C@@H]1C(C)(COC(=O)c1cccnc1[C@@H]([C@H](C(=O)O3)C)C)O4)O)(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   783.27 Volume:   751.764
?
Van der Waals volume.
Dense:   1.042 LogP:   0.972
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.332
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.895
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   41.0
TPSA:   240.61
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.275 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.474 Fsp3:   0.564
MCE-18:   214.033
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.677 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.139
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.009 Promiscuous compounds:   0.061

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.787 MDCK Permeability:   -5.183
Pgp-inhibitor:   0.023 Pgp-substrate:   0.434
PAMPA:   0.997
?
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%):   0.0 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.495

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.021 MRP1:   1.0
Plasma Protein Binding (PPB):   58.723% Volume Distribution (VD):   -0.311
Fu: 41.708%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.992
OATP1B3 inhibitor:   0.638 BCRP inhibitor:   0.0
BSEP inhibitor:   0.556

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.339 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.778
?
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):  0.57 Half-life (T1/2):  2.233

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.089
Human Hepatotoxicity (H-HT):  0.267 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.995 Rat Oral Acute Toxicity:  0.315
Maximum Recommended Daily Dose:  0.749 Skin Sensitization:  1.0
Carcinogencity:  0.711 Eye Corrosion:  0.0
Eye Irritation:  0.161 Respiratory Toxicity:  0.195
Drug-induced Neurotoxicity:  0.801 Ototoxicity:  0.811
Hematotoxicity:  0.963 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.787
A549 Cytotoxicity:  0.897 Hek293 Cytotoxicity:  0.5
BCF:   0.533
?
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:   3.237
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.553
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.058
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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
NPO32493 euonymus lutchuensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[23755851]
NPO32493 euonymus lutchuensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT393 Cell line HCT-116 Homo sapiens IC50 < 5.0 ug.mL-1 DOI[10.6019/CHEMBL1201861]
NPT116 Cell line HL-60 Homo sapiens IC50 < 5.0 ug.mL-1 PubChem BioAssay data set
NPT168 Cell line P388 Mus musculus IC50 < 5.0 ug.mL-1 PMID[17438050]

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 NPC471190 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
0.8265 Intermediate Similarity NPC471977
0.8081 Intermediate Similarity NPC470486
0.7921 Intermediate Similarity NPC30456
0.7921 Intermediate Similarity NPC475644
0.7921 Intermediate Similarity NPC488904
0.7629 Intermediate Similarity NPC475137
0.6887 Remote Similarity NPC475631
0.6822 Remote Similarity NPC475596
0.6822 Remote Similarity NPC476110
0.6796 Remote Similarity NPC475498
0.6729 Remote Similarity NPC87152
0.6729 Remote Similarity NPC475600
0.6636 Remote Similarity NPC475303
0.6316 Remote Similarity NPC327769
0.6195 Remote Similarity NPC237702
0.6132 Remote Similarity NPC76565
0.6132 Remote Similarity NPC601313
0.6038 Remote Similarity NPC473850
0.5909 Remote Similarity NPC473506
0.5902 Remote Similarity NPC482915
0.5893 Remote Similarity NPC475301
0.5854 Remote Similarity NPC483855
0.582 Remote Similarity NPC483854
0.5804 Remote Similarity NPC326930
0.5741 Remote Similarity NPC35208
0.5478 Remote Similarity NPC328186
0.5462 Remote Similarity NPC477787
0.5431 Remote Similarity NPC316841
0.5417 Remote Similarity NPC328928
0.5372 Remote Similarity NPC483853
0.5372 Remote Similarity NPC608314
0.5345 Remote Similarity NPC122968
0.5345 Remote Similarity NPC228377
0.5333 Remote Similarity NPC319880
0.5333 Remote Similarity NPC320324
0.5315 Remote Similarity NPC475408
0.5289 Remote Similarity NPC327904
0.5169 Remote Similarity NPC477788
0.5164 Remote Similarity NPC38959
0.513 Remote Similarity NPC473833
0.5078 Remote Similarity NPC483856
0.5043 Remote Similarity NPC475362
0.5041 Remote Similarity NPC473689
0.5041 Remote Similarity NPC292416
0.504 Remote Similarity NPC475426

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471190 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