Natural Product: NPC479041

Natural Product IDNPC479041
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
REUGOQDHLPXDSB-JEZMLUOZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 57509502
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002995] Pentacarboxylic acids 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 REUGOQDHLPXDSB-JEZMLUOZSA-N
Standard InCHI InChI=1S/C34H42O14/c1-8-18(2)28(37)47-27-24(45-29(38)21-9-11-41-15-21)14-32(7,40)34-26(44-20(4)36)23(31(5,6)48-34)13-25(33(27,34)17-43-19(3)35)46-30(39)22-10-12-42-16-22/h9-12,15-16,18,23-27,40H,8,13-14,17H2,1-7H3/t18?,23-,24+,25+,26-,27+,32+,33-,34+/m1/s1
SMILES CCC(C)C(=O)O[C@H]1[C@H](C[C@@](C)([C@@]23[C@@H]([C@@H](C[C@@H]([C@]12COC(=O)C)OC(=O)c1ccoc1)C(C)(C)O3)OC(=O)C)O)OC(=O)c1ccoc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   674.26 Volume:   653.173
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Van der Waals volume.
Dense:   1.032 LogP:   3.754
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.405
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.433
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   29.0
TPSA:   187.24
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.283 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.417 Fsp3:   0.618
MCE-18:   176.0
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.453 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.068
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.084 Promiscuous compounds:   0.248

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.466 MDCK Permeability:   -4.881
Pgp-inhibitor:   0.167 Pgp-substrate:   0.189
PAMPA:   0.917
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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):   0.0
20% Bioavailability (F20%):   0.675 30% Bioavailability (F30%):   0.923
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.069 MRP1:   1.0
Plasma Protein Binding (PPB):   62.821% Volume Distribution (VD):   -0.311
Fu: 36.997%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   0.95 BCRP inhibitor:   0.014
BSEP inhibitor:   0.983

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.013
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.327
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.637
CYP3A4-inhibitor:   0.216 CYP3A4-substrate:   0.935
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  2.084 Half-life (T1/2):  1.26

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.254
Human Hepatotoxicity (H-HT):  0.054 Drug-induced Liver Injury (DILI):  0.991
AMES Toxicity:  0.582 Rat Oral Acute Toxicity:  0.571
Maximum Recommended Daily Dose:  0.846 Skin Sensitization:  0.959
Carcinogencity:  0.953 Eye Corrosion:  0.0
Eye Irritation:  0.354 Respiratory Toxicity:  0.129
Drug-induced Neurotoxicity:  0.121 Ototoxicity:  0.246
Hematotoxicity:  0.023 Drug-induced Nephrotoxicity:  0.416
Genotoxicity:  0.803 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.197 Hek293 Cytotoxicity:  0.477
BCF:   0.604
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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:   3.559
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.146
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.803
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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
NPO3549 Euonymus maackii Species Celastraceae Eukaryota Seeds n.a. n.a. PMID[31713425]
NPO3549 Euonymus maackii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3549 Euonymus maackii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3549 Euonymus maackii Species Celastraceae 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
NPT519 Cell line SH-SY5Y Homo sapiens Activity = 82.96 % PMID[31713425]

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 NPC479041 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
0.9041 High Similarity NPC479048
0.9028 High Similarity NPC479049
0.8514 High Similarity NPC6815
0.8125 Intermediate Similarity NPC479045
0.7901 Intermediate Similarity NPC176413
0.7683 Intermediate Similarity NPC294512
0.7089 Intermediate Similarity NPC479042
0.7059 Intermediate Similarity NPC483885
0.6835 Remote Similarity NPC70716
0.6625 Remote Similarity NPC97667
0.6463 Remote Similarity NPC294803
0.6279 Remote Similarity NPC56953
0.6265 Remote Similarity NPC481064
0.6265 Remote Similarity NPC481062
0.6265 Remote Similarity NPC481058
0.6265 Remote Similarity NPC481060
0.622 Remote Similarity NPC95265
0.6207 Remote Similarity NPC10904
0.6071 Remote Similarity NPC609309
0.6023 Remote Similarity NPC180668
0.587 Remote Similarity NPC483868
0.5843 Remote Similarity NPC148896
0.5632 Remote Similarity NPC271460
0.5581 Remote Similarity NPC147340
0.5579 Remote Similarity NPC471013
0.5476 Remote Similarity NPC171207
0.5385 Remote Similarity NPC610134
0.5326 Remote Similarity NPC75600
0.5326 Remote Similarity NPC483884
0.5281 Remote Similarity NPC481488
0.5233 Remote Similarity NPC481061
0.5057 Remote Similarity NPC479044

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479041 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