Natural Product: NPC148062

Natural Product IDNPC148062
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PACOALGXOJLUSI-CEVVBJQHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14414915
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002967] Hexacarboxylic 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 PACOALGXOJLUSI-CEVVBJQHSA-N
Standard InCHI InChI=1S/C37H42O13/c1-20-18-27(45-22(3)39)30(49-34(43)26-16-12-9-13-17-26)36(19-44-21(2)38)32(47-24(5)41)29(48-33(42)25-14-10-8-11-15-25)28-31(46-23(4)40)37(20,36)50-35(28,6)7/h8-17,20,27-32H,18-19H2,1-7H3/t20-,27+,28-,29-,30+,31-,32-,36+,37-/m1/s1
SMILES C[C@@H]1C[C@@H]([C@@H]([C@@]2(COC(=O)C)[C@@H]([C@@H]([C@@H]3[C@H]([C@]12OC3(C)C)OC(=O)C)OC(=O)c1ccccc1)OC(=O)C)OC(=O)c1ccccc1)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   694.26 Volume:   688.361
?
Van der Waals volume.
Dense:   1.009 LogP:   3.292
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.148
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.974
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   32.0
TPSA:   167.03
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.273 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.99 Fsp3:   0.514
MCE-18:   171.321
?
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:   0.476 Fluc inhibitor:   0.041
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.159
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.203 Promiscuous compounds:   0.056

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.24 MDCK Permeability:   -4.766
Pgp-inhibitor:   0.685 Pgp-substrate:   0.017
PAMPA:   0.219
?
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%):   0.004
50% Bioavailability (F50%):   0.857

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.999 MRP1:   1.0
Plasma Protein Binding (PPB):   85.111% Volume Distribution (VD):   -0.347
Fu: 17.104%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.948 BCRP inhibitor:   0.0
BSEP inhibitor:   0.558

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.422
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.018
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.122
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.022
CYP3A4-inhibitor:   0.027 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  1.392 Half-life (T1/2):  1.136

ADMET: Toxicity

hERG Blockers:  0.022 hERG Blockers (10um):  0.367
Human Hepatotoxicity (H-HT):  0.036 Drug-induced Liver Injury (DILI):  0.938
AMES Toxicity:  0.941 Rat Oral Acute Toxicity:  0.155
Maximum Recommended Daily Dose:  0.185 Skin Sensitization:  0.999
Carcinogencity:  0.836 Eye Corrosion:  0.0
Eye Irritation:  0.44 Respiratory Toxicity:  0.033
Drug-induced Neurotoxicity:  0.807 Ototoxicity:  0.118
Hematotoxicity:  0.202 Drug-induced Nephrotoxicity:  0.565
Genotoxicity:  0.319 RPMI-8226 Immunitoxicity:  0.135
A549 Cytotoxicity:  0.823 Hek293 Cytotoxicity:  0.776
BCF:   0.64
?
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:   3.607
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.898
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.577
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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 = 80.75 % 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 NPC148062 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
0.95 High Similarity NPC147880
0.9344 High Similarity NPC137718
0.9016 High Similarity NPC473060
0.9016 High Similarity NPC51314
0.8438 Intermediate Similarity NPC147217
0.8333 Intermediate Similarity NPC479043
0.8143 Intermediate Similarity NPC479040
0.7463 Intermediate Similarity NPC483845
0.7121 Intermediate Similarity NPC481047
0.7121 Intermediate Similarity NPC481045
0.7042 Intermediate Similarity NPC252314
0.7 Intermediate Similarity NPC254558
0.7 Intermediate Similarity NPC471107
0.6957 Remote Similarity NPC90257
0.6957 Remote Similarity NPC479047
0.6957 Remote Similarity NPC291638
0.6957 Remote Similarity NPC69357
0.6761 Remote Similarity NPC471100
0.6761 Remote Similarity NPC605884
0.6757 Remote Similarity NPC483849
0.6667 Remote Similarity NPC483844
0.6575 Remote Similarity NPC11685
0.6571 Remote Similarity NPC483902
0.6479 Remote Similarity NPC4341
0.6438 Remote Similarity NPC479044
0.64 Remote Similarity NPC483848
0.6351 Remote Similarity NPC609924
0.6338 Remote Similarity NPC472577
0.6301 Remote Similarity NPC473088
0.625 Remote Similarity NPC191082
0.6164 Remote Similarity NPC43241
0.6143 Remote Similarity NPC475429
0.6143 Remote Similarity NPC211137
0.6133 Remote Similarity NPC16912
0.5946 Remote Similarity NPC177340
0.5921 Remote Similarity NPC472569
0.5921 Remote Similarity NPC472570
0.5897 Remote Similarity NPC481050
0.5897 Remote Similarity NPC609221
0.5844 Remote Similarity NPC184747
0.5775 Remote Similarity NPC195647
0.5753 Remote Similarity NPC241951
0.5733 Remote Similarity NPC139067
0.5696 Remote Similarity NPC481489
0.5694 Remote Similarity NPC66761
0.5694 Remote Similarity NPC483843
0.5694 Remote Similarity NPC476094
0.5676 Remote Similarity NPC17877
0.5663 Remote Similarity NPC473115
0.5556 Remote Similarity NPC200592
0.5556 Remote Similarity NPC608007
0.5556 Remote Similarity NPC610542
0.5526 Remote Similarity NPC67777
0.5526 Remote Similarity NPC483842
0.5513 Remote Similarity NPC57628
0.5467 Remote Similarity NPC281717
0.5455 Remote Similarity NPC473758
0.5455 Remote Similarity NPC471104
0.5432 Remote Similarity NPC483887
0.5432 Remote Similarity NPC481488
0.5432 Remote Similarity NPC158020
0.5342 Remote Similarity NPC473081
0.5333 Remote Similarity NPC90614
0.5294 Remote Similarity NPC75600
0.5294 Remote Similarity NPC483884
0.525 Remote Similarity NPC97667
0.519 Remote Similarity NPC41481
0.519 Remote Similarity NPC306146
0.519 Remote Similarity NPC483841
0.5185 Remote Similarity NPC282239
0.5135 Remote Similarity NPC270498
0.5132 Remote Similarity NPC483862
0.5062 Remote Similarity NPC70716
0.5062 Remote Similarity NPC95265
0.506 Remote Similarity NPC481486

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC148062 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