Natural Product: NPC189972

Natural Product IDNPC189972
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Gelliusterol A
IUPAC Name (3S,7S,8S,9S,10R,13R,14S,17R)-17-[(2R)-hex-4-yn-2-yl]-10,13-dimethyl-2,3,4,7,8,9,11,12,14,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthrene-3,7-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL516472
PubChem CID 10948675
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001295] Hydroxysteroids
          • [CHEMONTID:0003238] 7-hydroxysteroids

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 HXKFBPDJHKTBKT-YTQPAVHCSA-N
Standard InCHI InChI=1S/C25H38O2/c1-5-6-7-16(2)19-8-9-20-23-21(11-13-25(19,20)4)24(3)12-10-18(26)14-17(24)15-22(23)27/h15-16,18-23,26-27H,7-14H2,1-4H3/t16-,18+,19-,20+,21+,22-,23+,24+,25-/m1/s1
SMILES CC#CC[C@H]([C@H]1CC[C@@H]2[C@]1(C)CC[C@H]1[C@H]2[C@H](O)C=C2[C@]1(C)CC[C@@H](C2)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   370.29 Volume:   416.401
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Van der Waals volume.
Dense:   0.889 LogP:   4.01
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.853
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.029
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   21.0
TPSA:   40.46
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.533 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.697 Fsp3:   0.84
MCE-18:   68.957
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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:   0.876 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
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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:   0.318 Promiscuous compounds:   0.093

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.364 MDCK Permeability:   -5.094
Pgp-inhibitor:   0.127 Pgp-substrate:   0.101
PAMPA:   0.312
?
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%):   0.038 30% Bioavailability (F30%):   0.403
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.05
Plasma Protein Binding (PPB):   85.245% Volume Distribution (VD):   -0.132
Fu: 8.725%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.962
BSEP inhibitor:   0.873

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.098
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.387
CYP3A4-inhibitor:   0.996 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.374
HLM stability:   0.018
?
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):  15.781 Half-life (T1/2):  1.594

ADMET: Toxicity

hERG Blockers:  0.123 hERG Blockers (10um):  0.291
Human Hepatotoxicity (H-HT):  0.534 Drug-induced Liver Injury (DILI):  0.823
AMES Toxicity:  0.44 Rat Oral Acute Toxicity:  0.202
Maximum Recommended Daily Dose:  0.787 Skin Sensitization:  0.976
Carcinogencity:  0.877 Eye Corrosion:  0.305
Eye Irritation:  0.974 Respiratory Toxicity:  0.967
Drug-induced Neurotoxicity:  0.067 Ototoxicity:  0.585
Hematotoxicity:  0.421 Drug-induced Nephrotoxicity:  0.418
Genotoxicity:  0.136 RPMI-8226 Immunitoxicity:  0.047
A549 Cytotoxicity:  0.434 Hek293 Cytotoxicity:  0.771
BCF:   1.867
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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:   3.877
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.211
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.616
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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
NPO33338 gellius sp. Species Chalinidae Eukaryota n.a. n.a. n.a. PMID[11421735]

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
NPT168 Cell line P388 Mus musculus IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT139 Cell line HT-29 Homo sapiens IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT81 Cell line A549 Homo sapiens IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT90 Cell line DU-145 Homo sapiens IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data

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 NPC189972 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
0.7959 Intermediate Similarity NPC81306
0.7647 Intermediate Similarity NPC109546
0.7647 Intermediate Similarity NPC47982
0.75 Intermediate Similarity NPC84694
0.75 Intermediate Similarity NPC28862
0.75 Intermediate Similarity NPC143182
0.7358 Intermediate Similarity NPC317927
0.717 Intermediate Similarity NPC609126
0.7143 Intermediate Similarity NPC475789
0.7091 Intermediate Similarity NPC474634
0.6727 Remote Similarity NPC234193
0.6316 Remote Similarity NPC26959
0.5862 Remote Similarity NPC23852
0.5833 Remote Similarity NPC152808
0.5763 Remote Similarity NPC209620
0.5738 Remote Similarity NPC268406
0.5484 Remote Similarity NPC293287
0.5303 Remote Similarity NPC218186
0.5172 Remote Similarity NPC162742
0.5172 Remote Similarity NPC304309
0.5172 Remote Similarity NPC470228
0.5161 Remote Similarity NPC50964
0.5085 Remote Similarity NPC22105
0.5085 Remote Similarity NPC34019
0.5085 Remote Similarity NPC107059

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC189972 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
0.6071 Remote Similarity NPD4751 Phase 2

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