Natural Product: NPC23241

Natural Product IDNPC23241
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Beta,16Beta,23-Triacetoxyolean-12-En-28-Oic Acid
IUPAC Name (4aR,5S,6aR,6aS,6bR,8aR,9R,10S,12aR,14bS)-5,10-diacetyloxy-9-(acetyloxymethyl)-2,2,6a,6b,9,12a-hexamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL502468
PubChem CID 11387939
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 PRKFEXJCCYJSHL-VOQQBVSSSA-N
Standard InCHI InChI=1S/C36H54O8/c1-21(37)42-20-33(7)26-12-15-34(8)27(32(26,6)14-13-28(33)43-22(2)38)11-10-24-25-18-31(4,5)16-17-36(25,30(40)41)29(44-23(3)39)19-35(24,34)9/h10,25-29H,11-20H2,1-9H3,(H,40,41)/t25-,26+,27+,28-,29-,32-,33-,34+,35+,36+/m0/s1
SMILES CC(=O)OC[C@@]1(C)[C@@H]2CC[C@]3(C)[C@H](CC=C4[C@@H]5CC(C)(C)CC[C@@]5([C@H](C[C@@]34C)OC(=O)C)C(=O)O)[C@@]2(C)CC[C@@H]1OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   614.38 Volume:   645.569
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Van der Waals volume.
Dense:   0.952 LogP:   2.798
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.78
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.153
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   30.0
TPSA:   116.2
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.202 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.129 Fsp3:   0.833
MCE-18:   112.061
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.937 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.115
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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:   0.366 Promiscuous compounds:   0.2

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.275 MDCK Permeability:   -5.004
Pgp-inhibitor:   0.988 Pgp-substrate:   0.013
PAMPA:   0.978
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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):   0.012
20% Bioavailability (F20%):   0.769 30% Bioavailability (F30%):   0.822
50% Bioavailability (F50%):   0.934

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.996
Plasma Protein Binding (PPB):   82.797% Volume Distribution (VD):   -0.56
Fu: 11.637%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.873 BCRP inhibitor:   0.005
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.009
CYP2C19-inhibitor:   0.51 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.028
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.024 CYP3A4-substrate:   0.489
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.997
?
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):  2.005 Half-life (T1/2):  0.723

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.027
Human Hepatotoxicity (H-HT):  0.466 Drug-induced Liver Injury (DILI):  0.871
AMES Toxicity:  0.284 Rat Oral Acute Toxicity:  0.338
Maximum Recommended Daily Dose:  0.23 Skin Sensitization:  0.965
Carcinogencity:  0.937 Eye Corrosion:  0.009
Eye Irritation:  0.094 Respiratory Toxicity:  0.182
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  0.408
Hematotoxicity:  0.67 Drug-induced Nephrotoxicity:  0.812
Genotoxicity:  0.922 RPMI-8226 Immunitoxicity:  0.017
A549 Cytotoxicity:  0.163 Hek293 Cytotoxicity:  0.082
BCF:   0.567
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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:   3.881
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.859
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.119
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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
NPO267 Couepia polyandra Species Chrysobalanaceae Eukaryota n.a. n.a. n.a. PMID[14640519]
NPO267 Couepia polyandra Species Chrysobalanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO267 Couepia polyandra Species Chrysobalanaceae 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
NPT59 Individual protein DNA polymerase beta Homo sapiens IC50 = 13000.0 nM PMID[20558071]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

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 NPC23241 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
0.8261 Intermediate Similarity NPC488521
0.64 Remote Similarity NPC120840
0.625 Remote Similarity NPC475611
0.5926 Remote Similarity NPC600880
0.5875 Remote Similarity NPC96580
0.5595 Remote Similarity NPC93744
0.5595 Remote Similarity NPC476888
0.5556 Remote Similarity NPC296164
0.5529 Remote Similarity NPC603645
0.5402 Remote Similarity NPC476890
0.5402 Remote Similarity NPC476889
0.5341 Remote Similarity NPC473576
0.5326 Remote Similarity NPC473538
0.5161 Remote Similarity NPC284807
0.5125 Remote Similarity NPC286786
0.5111 Remote Similarity NPC473483
0.5111 Remote Similarity NPC475570
0.5062 Remote Similarity NPC23621
0.5059 Remote Similarity NPC474727

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC23241 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