Natural Product: NPC293803

Natural Product IDNPC293803
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.
Glochidone
IUPAC Name (1R,3aR,5aR,5bR,7aR,11aR,11bR,13aS,13bR)-3a,5a,5b,8,8,11a-hexamethyl-1-prop-1-en-2-yl-2,3,4,5,6,7,7a,11b,12,13,13a,13b-dodecahydro-1H-cyclopenta[a]chrysen-9-one
Synonyms Glochidone
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL469628
PubChem CID 44559199
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 FWBYBHVDDGVPDF-IAFKSKRFSA-N
Standard InCHI InChI=1S/C30H46O/c1-19(2)20-11-14-27(5)17-18-29(7)21(25(20)27)9-10-23-28(6)15-13-24(31)26(3,4)22(28)12-16-30(23,29)8/h13,15,20-23,25H,1,9-12,14,16-18H2,2-8H3/t20-,21-,22-,23+,25+,27+,28-,29+,30+/m0/s1
SMILES CC(=C)[C@@H]1CC[C@]2([C@H]1[C@@H]1CC[C@H]3[C@@]([C@]1(C)CC2)(C)CC[C@@H]1[C@]3(C)C=CC(=O)C1(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.35 Volume:   485.535
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Van der Waals volume.
Dense:   0.87 LogP:   6.502
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.81
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.57
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   17.07
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Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.391 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.814 Fsp3:   0.833
MCE-18:   98.218
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.959 Fluc inhibitor:   0.015
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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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:   0.682 Promiscuous compounds:   0.291

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.143 MDCK Permeability:   -4.872
Pgp-inhibitor:   0.939 Pgp-substrate:   0.001
PAMPA:   0.205
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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%):   0.083 30% Bioavailability (F30%):   0.126
50% Bioavailability (F50%):   0.788

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.937 MRP1:   0.88
Plasma Protein Binding (PPB):   97.086% Volume Distribution (VD):   0.319
Fu: 3.104%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.46
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.068
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.017 CYP2C9-substrate:   0.02
CYP2D6-inhibitor:   0.279 CYP2D6-substrate:   0.062
CYP3A4-inhibitor:   0.981 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.116
HLM stability:   0.577
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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):  11.983 Half-life (T1/2):  0.198

ADMET: Toxicity

hERG Blockers:  0.177 hERG Blockers (10um):  0.366
Human Hepatotoxicity (H-HT):  0.641 Drug-induced Liver Injury (DILI):  0.384
AMES Toxicity:  0.208 Rat Oral Acute Toxicity:  0.675
Maximum Recommended Daily Dose:  0.851 Skin Sensitization:  0.84
Carcinogencity:  0.918 Eye Corrosion:  0.329
Eye Irritation:  0.936 Respiratory Toxicity:  0.966
Drug-induced Neurotoxicity:  0.21 Ototoxicity:  0.403
Hematotoxicity:  0.514 Drug-induced Nephrotoxicity:  0.797
Genotoxicity:  0.741 RPMI-8226 Immunitoxicity:  0.062
A549 Cytotoxicity:  0.094 Hek293 Cytotoxicity:  0.451
BCF:   3.156
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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:   5.043
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.741
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.92
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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
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[12713421]
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[14738378]
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota n.a. leaf n.a. PMID[14738378]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota root bark;leaves Huayllabamba-Urquillos, Province of Urabamba, Cusco (Peru); Parque Nacional El Imposible, El Salvador n.a. PMID[16038541]
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota root bark;leaves Huayllabamba-Urquillos, Province of Urabamba, Cusco (Peru); Parque Nacional El Imposible, El Salvador n.a. PMID[16038541]
NPO2706 Glochidion eriocarpum Species Phyllanthaceae Eukaryota n.a. aerial part n.a. PMID[19122328]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota root bark Urubamba, Cusco, Peru n.a. PMID[25927586]
NPO1534 Jatropha gossypiifolia Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[30106289]
NPO2706 Glochidion eriocarpum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1534 Jatropha gossypiifolia Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15526 Glochidion zeylanicum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15526 Glochidion zeylanicum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2706 Glochidion eriocarpum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2706 Glochidion eriocarpum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15526 Glochidion zeylanicum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1534 Jatropha gossypiifolia Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15526 Glochidion zeylanicum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1333 Maytenus chiapensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1534 Jatropha gossypiifolia Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2706 Glochidion eriocarpum Species Phyllanthaceae 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
NPT165 Cell line HeLa Homo sapiens IC50 > 10.0 ug.mL-1 PMID[16038541]
NPT1171 Cell line HEp-2 Homo sapiens IC50 > 10.0 ug.mL-1 PMID[16038541]
NPT189 Cell line Vero Chlorocebus aethiops IC50 > 10.0 ug.mL-1 PMID[16038541]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 Inhibition < 50.0 % PMID[25927586]

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 NPC293803 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
0.7736 Intermediate Similarity NPC474509
0.7455 Intermediate Similarity NPC93778
0.7018 Intermediate Similarity NPC272746
0.6071 Remote Similarity NPC43300
0.5667 Remote Similarity NPC57469
0.541 Remote Similarity NPC305835
0.5246 Remote Similarity NPC159497
0.5085 Remote Similarity NPC192638
0.5085 Remote Similarity NPC80297
0.5085 Remote Similarity NPC475727
0.5085 Remote Similarity NPC25511
0.5085 Remote Similarity NPC116119
0.5085 Remote Similarity NPC600137
0.5079 Remote Similarity NPC103754
0.5077 Remote Similarity NPC611062

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC293803 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