Natural Product: NPC474720

Natural Product IDNPC474720
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cucurbitacin L
IUPAC Name (8S,9R,13R,14S,16R)-17-[(2S)-2,6-dihydroxy-6-methyl-3-oxoheptan-2-yl]-2,16-dihydroxy-4,4,9,13,14-pentamethyl-8,10,12,15,16,17-hexahydro-7H-cyclopenta[a]phenanthrene-3,11-dione
Synonyms Cucurbitacin L
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL480111
PubChem CID 44559734
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 PIGAXYFCLPQWOD-CBJCAJNSSA-N
Standard InCHI InChI=1S/C30H44O7/c1-25(2,36)12-11-21(33)30(8,37)23-19(32)14-27(5)20-10-9-16-17(13-18(31)24(35)26(16,3)4)29(20,7)22(34)15-28(23,27)6/h9,13,17,19-20,23,31-32,36-37H,10-12,14-15H2,1-8H3/t17?,19-,20+,23?,27+,28-,29+,30-/m1/s1
SMILES OC1=CC2C(=CC[C@@H]3[C@@]2(C)C(=O)C[C@]2([C@@]3(C)C[C@H](C2[C@@](C(=O)CCC(O)(C)C)(O)C)O)C)C(C1=O)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   516.31 Volume:   541.559
?
Van der Waals volume.
Dense:   0.953 LogP:   1.596
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.925
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.634
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   23.0
TPSA:   132.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.408 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.3 Fsp3:   0.767
MCE-18:   94.189
?
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:   0.247 Fluc inhibitor:   0.003
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.236
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.262 Promiscuous compounds:   0.176

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.98 MDCK Permeability:   -4.795
Pgp-inhibitor:   0.001 Pgp-substrate:   0.097
PAMPA:   0.998
?
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%):   0.061 30% Bioavailability (F30%):   0.091
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.117 MRP1:   0.982
Plasma Protein Binding (PPB):   87.979% Volume Distribution (VD):   0.047
Fu: 14.677%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.981
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.018
BSEP inhibitor:   0.991

ADMET: Metabolism

CYP1A2-inhibitor:   0.339 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.022 CYP2C19-substrate:   0.174
CYP2C9-inhibitor:   0.456 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.107 CYP3A4-substrate:   0.868
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.263
?
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):  5.867 Half-life (T1/2):  1.249

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.068
Human Hepatotoxicity (H-HT):  0.52 Drug-induced Liver Injury (DILI):  0.084
AMES Toxicity:  0.18 Rat Oral Acute Toxicity:  0.382
Maximum Recommended Daily Dose:  0.854 Skin Sensitization:  0.914
Carcinogencity:  0.491 Eye Corrosion:  0.0
Eye Irritation:  0.049 Respiratory Toxicity:  0.868
Drug-induced Neurotoxicity:  0.044 Ototoxicity:  0.742
Hematotoxicity:  0.397 Drug-induced Nephrotoxicity:  0.73
Genotoxicity:  0.982 RPMI-8226 Immunitoxicity:  0.173
A549 Cytotoxicity:  0.048 Hek293 Cytotoxicity:  0.228
BCF:   0.477
?
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:   3.167
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.656
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.831
?
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
NPO32650 conobea scoparioides Species Plantaginaceae Eukaryota n.a. n.a. n.a. PMID[7852999]

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
NPT2536 Individual protein Leukocyte adhesion glycoprotein LFA-1 alpha Homo sapiens IC50 > 50000.0 nM PMID[12088430]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT4306 Cell line JY Homo sapiens Inhibition = 69.0 % PMID[20035557]
NPT2 Others Unspecified n.a. Inhibition = 77.7 % PMID[17341114]
NPT2 Others Unspecified n.a. Inhibition = 79.2 % DOI[10.1016/S0261-2194(02)00175-8]
NPT2 Others Unspecified n.a. Inhibition = 86.2 % DOI[10.1016/S0261-2194(02)00175-8]

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 NPC474720 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 NPC58370
0.8033 Intermediate Similarity NPC43285
0.7727 Intermediate Similarity NPC304495
0.7538 Intermediate Similarity NPC470257
0.746 Intermediate Similarity NPC111323
0.6833 Remote Similarity NPC147954
0.6714 Remote Similarity NPC221144
0.6667 Remote Similarity NPC49371
0.6667 Remote Similarity NPC479419
0.6418 Remote Similarity NPC191892
0.5806 Remote Similarity NPC479418
0.561 Remote Similarity NPC42675
0.5278 Remote Similarity NPC117185
0.5195 Remote Similarity NPC196528
0.5139 Remote Similarity NPC87351

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474720 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