Natural Product: NPC211718

Natural Product IDNPC211718
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DYSGKRAFNMJFSM-GIXIAERCSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44478409
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 DYSGKRAFNMJFSM-GIXIAERCSA-N
Standard InCHI InChI=1S/C30H48O4/c1-18(2)23(34-33)10-9-19(3)20-11-16-30(8)26-21(12-15-29(20,30)7)28(6)14-13-25(32)27(4,5)24(28)17-22(26)31/h19-20,23-25,32-33H,1,9-17H2,2-8H3/t19-,20+,23+,24+,25+,28-,29+,30-/m1/s1
SMILES C=C(C)[C@H](CC[C@@H](C)[C@@H]1CC[C@]2(C)C3=C(CC[C@@]12C)[C@@]1(C)CC[C@@H](C(C)(C)[C@@H]1CC3=O)O)OO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   520.462
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Van der Waals volume.
Dense:   0.908 LogP:   4.444
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.984
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.499
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   22.0
TPSA:   66.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.245 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.006 Fsp3:   0.833
MCE-18:   82.8
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.949 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.026
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.463 Promiscuous compounds:   0.326

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.099 MDCK Permeability:   -4.979
Pgp-inhibitor:   0.778 Pgp-substrate:   0.242
PAMPA:   0.916
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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%):   0.455 30% Bioavailability (F30%):   0.336
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.238 MRP1:   0.89
Plasma Protein Binding (PPB):   94.887% Volume Distribution (VD):   0.126
Fu: 5.249%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.99 BCRP inhibitor:   0.678
BSEP inhibitor:   0.762

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.022 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.104 CYP3A4-substrate:   0.128
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   0.021
HLM stability:   0.023
?
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):  9.172 Half-life (T1/2):  0.551

ADMET: Toxicity

hERG Blockers:  0.037 hERG Blockers (10um):  0.086
Human Hepatotoxicity (H-HT):  0.854 Drug-induced Liver Injury (DILI):  0.761
AMES Toxicity:  0.943 Rat Oral Acute Toxicity:  0.326
Maximum Recommended Daily Dose:  0.625 Skin Sensitization:  1.0
Carcinogencity:  0.925 Eye Corrosion:  0.06
Eye Irritation:  0.711 Respiratory Toxicity:  0.638
Drug-induced Neurotoxicity:  0.137 Ototoxicity:  0.619
Hematotoxicity:  0.752 Drug-induced Nephrotoxicity:  0.823
Genotoxicity:  0.923 RPMI-8226 Immunitoxicity:  0.131
A549 Cytotoxicity:  0.35 Hek293 Cytotoxicity:  0.573
BCF:   1.941
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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:   4.426
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.883
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.324
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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
NPO25837 Euphorbia micractina Species Euphorbiaceae Eukaryota Roots Zhang County, Gansu Province, China 2002-Sep PMID[19702283]
NPO25837 Euphorbia micractina Species Euphorbiaceae Eukaryota n.a. root n.a. PMID[21534583]
NPO25837 Euphorbia micractina Species Euphorbiaceae Eukaryota Roots n.a. n.a. PMID[23691978]
NPO25837 Euphorbia micractina Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25837 Euphorbia micractina Species Euphorbiaceae 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

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 NPC211718 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
0.7797 Intermediate Similarity NPC110021
0.7797 Intermediate Similarity NPC482426
0.7419 Intermediate Similarity NPC183283
0.7377 Intermediate Similarity NPC275740
0.7377 Intermediate Similarity NPC86319
0.7097 Intermediate Similarity NPC482424
0.7031 Intermediate Similarity NPC69454
0.6984 Remote Similarity NPC259286
0.6984 Remote Similarity NPC83216
0.6984 Remote Similarity NPC484085
0.6724 Remote Similarity NPC482425
0.6716 Remote Similarity NPC601194
0.6667 Remote Similarity NPC482423
0.589 Remote Similarity NPC489808
0.589 Remote Similarity NPC489800
0.5821 Remote Similarity NPC99909
0.5758 Remote Similarity NPC131470
0.5634 Remote Similarity NPC318332
0.5634 Remote Similarity NPC484971
0.5634 Remote Similarity NPC484970
0.5588 Remote Similarity NPC249954
0.5385 Remote Similarity NPC118508
0.5385 Remote Similarity NPC484086
0.5342 Remote Similarity NPC482518
0.5294 Remote Similarity NPC471724
0.5139 Remote Similarity NPC191684
0.5075 Remote Similarity NPC46160
0.5075 Remote Similarity NPC202642

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC211718 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