Natural Product: NPC250757

Natural Product IDNPC250757
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.
Stellettin L
IUPAC Name (2E,4E,6E,8E,10E)-10-[(3aS,5aR,7S,9aR,9bS)-7-hydroxy-3a,6,6,9a-tetramethyl-2-oxo-1,4,5,5a,7,8,9,9b-octahydrocyclopenta[a]naphthalen-3-ylidene]-2,6-dimethylundeca-2,4,6,8-tetraenoic acid
Synonyms stellettin L
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL228656
PubChem CID 16756664
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 HQKNXSLBDXDYEF-ZMTCAJFBSA-N
Standard InCHI InChI=1S/C30H42O4/c1-19(11-9-13-21(3)27(33)34)10-8-12-20(2)26-22(31)18-24-29(6)17-15-25(32)28(4,5)23(29)14-16-30(24,26)7/h8-13,23-25,32H,14-18H2,1-7H3,(H,33,34)/b11-9+,12-8+,19-10+,21-13+,26-20-/t23-,24-,25-,29-,30-/m0/s1
SMILES C/C(=CC=CC(=C/1C(=O)C[C@H]2[C@@]3(C)CC[C@@H](C(C)(C)[C@@H]3CC[C@]12C)O)C)/C=C/C=C(C)/C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   466.31 Volume:   518.472
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Van der Waals volume.
Dense:   0.899 LogP:   3.5
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.848
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.517
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   22.0
TPSA:   74.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.354 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.69 Fsp3:   0.6
MCE-18:   66.375
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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:   0.687 Fluc inhibitor:   0.49
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.152
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.028
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.6 Promiscuous compounds:   0.335

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.167 MDCK Permeability:   -4.866
Pgp-inhibitor:   0.006 Pgp-substrate:   0.609
PAMPA:   0.997
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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):   0.013
20% Bioavailability (F20%):   0.592 30% Bioavailability (F30%):   0.394
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.969
Plasma Protein Binding (PPB):   97.393% Volume Distribution (VD):   -0.566
Fu: 3.008%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.991 BCRP inhibitor:   0.002
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.04 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.614 CYP2C19-substrate:   0.049
CYP2C9-inhibitor:   0.566 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.337 CYP3A4-substrate:   0.032
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.877
HLM stability:   0.021
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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):  2.852 Half-life (T1/2):  1.054

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.062
Human Hepatotoxicity (H-HT):  0.623 Drug-induced Liver Injury (DILI):  0.767
AMES Toxicity:  0.523 Rat Oral Acute Toxicity:  0.601
Maximum Recommended Daily Dose:  0.644 Skin Sensitization:  0.966
Carcinogencity:  0.741 Eye Corrosion:  0.011
Eye Irritation:  0.53 Respiratory Toxicity:  0.872
Drug-induced Neurotoxicity:  0.122 Ototoxicity:  0.687
Hematotoxicity:  0.621 Drug-induced Nephrotoxicity:  0.913
Genotoxicity:  0.889 RPMI-8226 Immunitoxicity:  0.061
A549 Cytotoxicity:  0.092 Hek293 Cytotoxicity:  0.149
BCF:   0.955
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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:   4.039
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.463
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.828
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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
NPO33155 stelletta tenuis Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[17604394]
NPO33155 stelletta tenuis Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[7807129]

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
NPT81 Cell line A549 Homo sapiens IC50 = 28000.0 nM PMID[9784156]
NPT659 Cell line SMMC-7721 Homo sapiens IC50 = 120000.0 nM PMID[9784156]
NPT196 Cell line AGS Homo sapiens IC50 = 3900.0 nM PMID[18276144]
NPT139 Cell line HT-29 Homo sapiens IC50 = 33000.0 nM PMID[18725180]

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 NPC250757 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
1.0 High Similarity NPC301534
0.7121 Intermediate Similarity NPC3856
0.7121 Intermediate Similarity NPC57079
0.7121 Intermediate Similarity NPC108368
0.7121 Intermediate Similarity NPC279639
0.6857 Remote Similarity NPC474018
0.6857 Remote Similarity NPC473986
0.6515 Remote Similarity NPC310752
0.6377 Remote Similarity NPC471153
0.6324 Remote Similarity NPC141292
0.6286 Remote Similarity NPC88310
0.6143 Remote Similarity NPC474785
0.5946 Remote Similarity NPC475050
0.5775 Remote Similarity NPC299100
0.5714 Remote Similarity NPC330011
0.557 Remote Similarity NPC475065
0.5309 Remote Similarity NPC475163
0.527 Remote Similarity NPC474690
0.527 Remote Similarity NPC292491
0.5128 Remote Similarity NPC32577
0.5067 Remote Similarity NPC473435
0.5067 Remote Similarity NPC473280
0.5067 Remote Similarity NPC471078

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC250757 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