Natural Product: NPC266955

Natural Product IDNPC266955
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Stelliferin A
IUPAC Name [(3Z,3aS,5aR,7S,9aR,9bS)-3-[(3E,5E,7S)-7-hydroxy-6,10-dimethylundeca-3,5,9-trien-2-ylidene]-3a,6,6,9a-tetramethyl-2-oxo-1,4,5,5a,7,8,9,9b-octahydrocyclopenta[a]naphthalen-7-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL481847
PubChem CID 10074564
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 JQQLGYJOHJVUFP-SOBFQGAKSA-N
Standard InCHI InChI=1S/C32H48O4/c1-20(2)13-14-24(34)21(3)11-10-12-22(4)29-25(35)19-27-31(8)18-16-28(36-23(5)33)30(6,7)26(31)15-17-32(27,29)9/h10-13,24,26-28,34H,14-19H2,1-9H3/b12-10+,21-11+,29-22+/t24-,26-,27-,28-,31-,32-/m0/s1
SMILES CC(=CC[C@@H](/C(=C/C=C/C(=C/1C(=O)C[C@H]2[C@@]3(C)CC[C@@H](C(C)(C)[C@@H]3CC[C@]12C)OC(=O)C)/C)/C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   496.36 Volume:   555.701
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Van der Waals volume.
Dense:   0.893 LogP:   5.024
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.017
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.852
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   21.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.182 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.816 Fsp3:   0.688
MCE-18:   67.407
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.839 Fluc inhibitor:   0.02
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.162
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.563 Promiscuous compounds:   0.375

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.908 MDCK Permeability:   -4.726
Pgp-inhibitor:   0.867 Pgp-substrate:   0.227
PAMPA:   0.126
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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%):   0.033 30% Bioavailability (F30%):   0.221
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.895
Plasma Protein Binding (PPB):   92.783% Volume Distribution (VD):   0.283
Fu: 6.718%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.938 BCRP inhibitor:   0.027
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.097 CYP1A2-substrate:   0.355
CYP2C19-inhibitor:   0.949 CYP2C19-substrate:   0.299
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.198
CYP2D6-inhibitor:   0.004 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.91
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.388
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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):  8.436 Half-life (T1/2):  0.585

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.258
Human Hepatotoxicity (H-HT):  0.491 Drug-induced Liver Injury (DILI):  0.386
AMES Toxicity:  0.413 Rat Oral Acute Toxicity:  0.313
Maximum Recommended Daily Dose:  0.467 Skin Sensitization:  0.917
Carcinogencity:  0.769 Eye Corrosion:  0.017
Eye Irritation:  0.431 Respiratory Toxicity:  0.357
Drug-induced Neurotoxicity:  0.05 Ototoxicity:  0.536
Hematotoxicity:  0.585 Drug-induced Nephrotoxicity:  0.669
Genotoxicity:  0.338 RPMI-8226 Immunitoxicity:  0.052
A549 Cytotoxicity:  0.126 Hek293 Cytotoxicity:  0.174
BCF:   1.97
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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:   4.815
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.554
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.07
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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
NPO10924 Stelletta globostellata Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[10691710]
NPO10924 Stelletta globostellata Species Ancorinidae Eukaryota n.a. Kubat, Malaysia 1991 PMID[18327911]
NPO10924 Stelletta globostellata Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[18327911]
NPO10924 Stelletta globostellata Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[8778241]
NPO10924 Stelletta globostellata Species Ancorinidae 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 GI50 = 21.0 nM PMID[11170670]

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 NPC266955 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
0.8438 Intermediate Similarity NPC115899
0.6818 Remote Similarity NPC474842
0.6818 Remote Similarity NPC475965
0.6818 Remote Similarity NPC604299
0.6667 Remote Similarity NPC605871
0.6618 Remote Similarity NPC474690
0.641 Remote Similarity NPC473617
0.641 Remote Similarity NPC473828
0.625 Remote Similarity NPC155332
0.625 Remote Similarity NPC114540
0.6197 Remote Similarity NPC6206
0.6143 Remote Similarity NPC473435
0.6143 Remote Similarity NPC473280
0.6143 Remote Similarity NPC471078
0.6111 Remote Similarity NPC10064
0.6111 Remote Similarity NPC170221
0.6087 Remote Similarity NPC151725
0.5946 Remote Similarity NPC473284
0.589 Remote Similarity NPC110937
0.5753 Remote Similarity NPC106425
0.5753 Remote Similarity NPC122324
0.5733 Remote Similarity NPC473482
0.5658 Remote Similarity NPC473283
0.5658 Remote Similarity NPC475526
0.5541 Remote Similarity NPC469874
0.5526 Remote Similarity NPC32577
0.5429 Remote Similarity NPC2049
0.527 Remote Similarity NPC473879
0.5205 Remote Similarity NPC141292
0.5181 Remote Similarity NPC168319
0.5181 Remote Similarity NPC194028
0.5067 Remote Similarity NPC471153

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC266955 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