Natural Product: NPC117185

Natural Product IDNPC117185
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cucurbitacin G
IUPAC Name (2S,8S,9R,10R,13R,14S,16R,17R)-2,16-dihydroxy-4,4,9,13,14-pentamethyl-17-[(2R)-2,5,6-trihydroxy-6-methyl-3-oxoheptan-2-yl]-2,7,8,10,12,15,16,17-octahydro-1H-cyclopenta[a]phenanthrene-3,11-dione
Synonyms Cucurbitacin G
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL551160
PubChem CID 441818
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001686] Cucurbitacins

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 ABNDMUIXCBUBLO-REQJDAJISA-N
Standard InCHI InChI=1S/C30H46O8/c1-25(2)15-9-10-19-27(5)13-18(32)23(30(8,38)21(34)12-20(33)26(3,4)37)28(27,6)14-22(35)29(19,7)16(15)11-17(31)24(25)36/h9,16-20,23,31-33,37-38H,10-14H2,1-8H3/t16-,17+,18-,19+,20?,23+,27+,28-,29+,30+/m1/s1
SMILES CC1(C)C2=CC[C@H]3[C@]4(C)C[C@H]([C@@H]([C@@]4(C)CC(=O)[C@@]3(C)[C@@H]2C[C@@H](C1=O)O)[C@](C)(C(=O)CC(C(C)(C)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   534.32 Volume:   552.986
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Van der Waals volume.
Dense:   0.966 LogP:   1.183
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.75
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.276
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   23.0
TPSA:   152.36
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.336 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.434 Fsp3:   0.833
MCE-18:   98.909
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.465 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:   0.022
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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:   0.317 Promiscuous compounds:   0.392

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.037 MDCK Permeability:   -4.821
Pgp-inhibitor:   0.0 Pgp-substrate:   0.475
PAMPA:   1.0
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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):   0.005
20% Bioavailability (F20%):   0.11 30% Bioavailability (F30%):   0.184
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.969
Plasma Protein Binding (PPB):   89.462% Volume Distribution (VD):   0.171
Fu: 12.125%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.119
BSEP inhibitor:   0.973

ADMET: Metabolism

CYP1A2-inhibitor:   0.152 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:   0.004
CYP3A4-inhibitor:   0.983 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.625
HLM stability:   0.0
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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):  8.589 Half-life (T1/2):  1.647

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.029
Human Hepatotoxicity (H-HT):  0.499 Drug-induced Liver Injury (DILI):  0.239
AMES Toxicity:  0.393 Rat Oral Acute Toxicity:  0.184
Maximum Recommended Daily Dose:  0.868 Skin Sensitization:  0.905
Carcinogencity:  0.778 Eye Corrosion:  0.0
Eye Irritation:  0.03 Respiratory Toxicity:  0.775
Drug-induced Neurotoxicity:  0.048 Ototoxicity:  0.879
Hematotoxicity:  0.64 Drug-induced Nephrotoxicity:  0.968
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.152
A549 Cytotoxicity:  0.078 Hek293 Cytotoxicity:  0.261
BCF:   0.435
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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:   3.091
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.499
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.674
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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
NPO13846 Crinodendron hookerianum Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8800 Cucumis angolensis Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13846 Crinodendron hookerianum Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8800 Cucumis angolensis Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13846 Crinodendron hookerianum Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14700 Citrullus sp. Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13846 Crinodendron hookerianum Species Elaeocarpaceae 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
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 = 1280.0 nM PMID[25599949]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 1370.0 nM PMID[25599949]

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 NPC117185 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
0.8033 Intermediate Similarity NPC49371
0.8033 Intermediate Similarity NPC479419
0.746 Intermediate Similarity NPC311612
0.7206 Intermediate Similarity NPC196528
0.6923 Remote Similarity NPC479420
0.6714 Remote Similarity NPC100267
0.6714 Remote Similarity NPC475524
0.6667 Remote Similarity NPC58370
0.6667 Remote Similarity NPC43285
0.6032 Remote Similarity NPC488647
0.5968 Remote Similarity NPC479417
0.5942 Remote Similarity NPC191892
0.5634 Remote Similarity NPC488646
0.5571 Remote Similarity NPC87351
0.5493 Remote Similarity NPC488644
0.5493 Remote Similarity NPC214644
0.5467 Remote Similarity NPC486346
0.5455 Remote Similarity NPC239273
0.5395 Remote Similarity NPC280782
0.5301 Remote Similarity NPC1980
0.5301 Remote Similarity NPC141196
0.5278 Remote Similarity NPC474720
0.5128 Remote Similarity NPC475294
0.5068 Remote Similarity NPC185

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC117185 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