Natural Product: NPC309603

Natural Product IDNPC309603
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
6Beta-Hydroxy-24-Ethylcholesta-4,24(28)-Dien-3-One
IUPAC Name (6R,8S,9S,10R,13R,14S,17R)-6-hydroxy-10,13-dimethyl-17-[(E,2R)-5-propan-2-ylhept-5-en-2-yl]-1,2,6,7,8,9,11,12,14,15,16,17-dodecahydrocyclopenta[a]phenanthren-3-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL485978
PubChem CID 10717343
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002031] Stigmastanes and derivatives

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 PRKRLDJHSWQHED-CLUHYBOGSA-N
Standard InCHI InChI=1S/C29H46O2/c1-7-20(18(2)3)9-8-19(4)23-10-11-24-22-17-27(31)26-16-21(30)12-14-29(26,6)25(22)13-15-28(23,24)5/h7,16,18-19,22-25,27,31H,8-15,17H2,1-6H3/b20-7+/t19-,22+,23-,24+,25+,27-,28-,29-/m1/s1
SMILES C/C=C(CC[C@@H](C)[C@H]1CC[C@H]2[C@@H]3C[C@H](C4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C)O)/C(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   426.35 Volume:   485.585
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Van der Waals volume.
Dense:   0.878 LogP:   6.556
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.708
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.195
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   22.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.475 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.657 Fsp3:   0.828
MCE-18:   70.792
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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:   0.902 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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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:   0.422 Promiscuous compounds:   0.297

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.001 MDCK Permeability:   -5.027
Pgp-inhibitor:   0.788 Pgp-substrate:   0.0
PAMPA:   0.004
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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%):   0.469 30% Bioavailability (F30%):   0.968
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.043
Plasma Protein Binding (PPB):   97.249% Volume Distribution (VD):   0.046
Fu: 3.351%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.641
BSEP inhibitor:   0.937

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.78
CYP2C19-inhibitor:   0.818 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.214
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.991
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.83
?
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):  10.571 Half-life (T1/2):  0.563

ADMET: Toxicity

hERG Blockers:  0.139 hERG Blockers (10um):  0.422
Human Hepatotoxicity (H-HT):  0.654 Drug-induced Liver Injury (DILI):  0.21
AMES Toxicity:  0.097 Rat Oral Acute Toxicity:  0.125
Maximum Recommended Daily Dose:  0.585 Skin Sensitization:  0.704
Carcinogencity:  0.533 Eye Corrosion:  0.04
Eye Irritation:  0.847 Respiratory Toxicity:  0.702
Drug-induced Neurotoxicity:  0.18 Ototoxicity:  0.571
Hematotoxicity:  0.508 Drug-induced Nephrotoxicity:  0.614
Genotoxicity:  0.224 RPMI-8226 Immunitoxicity:  0.095
A549 Cytotoxicity:  0.096 Hek293 Cytotoxicity:  0.392
BCF:   2.629
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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:   4.558
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.644
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.385
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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
NPO16318 Turbinaria conoides Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[10075746]
NPO16318 Turbinaria conoides Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15720 Russula flavida Species Russulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6567 Aesculus x carnea Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15720 Russula flavida Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20447 Ichthyothere rufa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18754 Agathosma capensis Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27825 Diospyros sapota Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16768 Tortella inclinata Species Pottiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6567 Aesculus x carnea Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21457 Schefflera taiwaniana Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16318 Turbinaria conoides Species Sargassaceae 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
NPT168 Cell line P388 Mus musculus ED50 = 0.9 ug ml-1 PMID[10075746]
NPT91 Cell line KB Homo sapiens ED50 = 4.6 ug ml-1 PMID[10075746]
NPT81 Cell line A549 Homo sapiens ED50 = 2.3 ug ml-1 PMID[10075746]
NPT139 Cell line HT-29 Homo sapiens ED50 = 1.2 ug ml-1 PMID[10075746]

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 NPC309603 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
0.7818 Intermediate Similarity NPC473999
0.7167 Intermediate Similarity NPC473998
0.7119 Intermediate Similarity NPC475806
0.7049 Intermediate Similarity NPC489873
0.6909 Remote Similarity NPC282593
0.6667 Remote Similarity NPC8993
0.6552 Remote Similarity NPC303613
0.6207 Remote Similarity NPC159577
0.5738 Remote Similarity NPC209430
0.5667 Remote Similarity NPC35734
0.5667 Remote Similarity NPC602429
0.5574 Remote Similarity NPC149203
0.55 Remote Similarity NPC214043
0.55 Remote Similarity NPC85774
0.5079 Remote Similarity NPC237712
0.5077 Remote Similarity NPC469948
0.5075 Remote Similarity NPC320514

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC309603 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