Natural Product: NPC474889

Natural Product IDNPC474889
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Acetyl Eburicoic Acid
IUPAC Name (2R)-2-[(3S,5R,10S,13R,14R,17R)-3-acetyloxy-4,4,10,13,14-pentamethyl-2,3,5,6,7,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-17-yl]-6-methyl-5-methylideneheptanoic acid
Synonyms Acetyl Eburicoic Acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL486258
PubChem CID 44575769
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 IMWCOHWUNCFQDX-DLCVLMBDSA-N
Standard InCHI InChI=1S/C33H52O4/c1-20(2)21(3)10-11-23(29(35)36)24-14-18-33(9)26-12-13-27-30(5,6)28(37-22(4)34)16-17-31(27,7)25(26)15-19-32(24,33)8/h20,23-24,27-28H,3,10-19H2,1-2,4-9H3,(H,35,36)/t23-,24-,27+,28+,31-,32-,33+/m1/s1
SMILES CC(C)C(=C)CCC(C1CCC2(C1(CCC3=C2CCC4C3(CCC(C4(C)C)OC(=O)C)C)C)C)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   512.39 Volume:   569.713
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Van der Waals volume.
Dense:   0.899 LogP:   5.061
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.72
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.409
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   23.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.275 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.804 Fsp3:   0.818
MCE-18:   85.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.481 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:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.08
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.441 Promiscuous compounds:   0.012

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.022 MDCK Permeability:   -4.708
Pgp-inhibitor:   0.688 Pgp-substrate:   0.0
PAMPA:   0.011
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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%):   0.018 30% Bioavailability (F30%):   0.227
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.018 MRP1:   1.0
Plasma Protein Binding (PPB):   96.031% Volume Distribution (VD):   -0.098
Fu: 4.633%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.865
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.003
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.997 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.071 CYP3A4-substrate:   0.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.543
HLM stability:   0.987
?
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):  3.437 Half-life (T1/2):  0.69

ADMET: Toxicity

hERG Blockers:  0.044 hERG Blockers (10um):  0.238
Human Hepatotoxicity (H-HT):  0.553 Drug-induced Liver Injury (DILI):  0.157
AMES Toxicity:  0.036 Rat Oral Acute Toxicity:  0.101
Maximum Recommended Daily Dose:  0.635 Skin Sensitization:  0.258
Carcinogencity:  0.205 Eye Corrosion:  0.018
Eye Irritation:  0.667 Respiratory Toxicity:  0.476
Drug-induced Neurotoxicity:  0.19 Ototoxicity:  0.812
Hematotoxicity:  0.226 Drug-induced Nephrotoxicity:  0.224
Genotoxicity:  0.006 RPMI-8226 Immunitoxicity:  0.028
A549 Cytotoxicity:  0.029 Hek293 Cytotoxicity:  0.068
BCF:   1.712
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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:   4.925
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.322
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.499
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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
NPO8498 Laetiporus sulphureus Species Coriolaceae Eukaryota n.a. n.a. n.a. PMID[15620242]
NPO8498 Laetiporus sulphureus Species Coriolaceae Eukaryota n.a. n.a. n.a. PMID[19842686]
NPO8498 Laetiporus sulphureus Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8498 Laetiporus sulphureus Species Coriolaceae 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
NPT116 Cell line HL-60 Homo sapiens IC50 = 15000.0 nM PMID[9548852]
NPT116 Cell line HL-60 Homo sapiens FC = 7.0 n.a. PMID[18364258]

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 NPC474889 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
0.7937 Intermediate Similarity NPC148414
0.7937 Intermediate Similarity NPC111585
0.7937 Intermediate Similarity NPC175628
0.7313 Intermediate Similarity NPC184848
0.6769 Remote Similarity NPC55309
0.6769 Remote Similarity NPC28252
0.6429 Remote Similarity NPC484973
0.6111 Remote Similarity NPC69548
0.5942 Remote Similarity NPC482908
0.589 Remote Similarity NPC42042
0.5714 Remote Similarity NPC469400
0.5513 Remote Similarity NPC473514
0.5455 Remote Similarity NPC473648
0.5405 Remote Similarity NPC608955
0.5325 Remote Similarity NPC288464
0.5325 Remote Similarity NPC477813
0.5325 Remote Similarity NPC607198
0.5278 Remote Similarity NPC473269
0.5278 Remote Similarity NPC233836
0.5278 Remote Similarity NPC159046
0.5278 Remote Similarity NPC187376
0.5139 Remote Similarity NPC201912
0.5139 Remote Similarity NPC38350
0.5139 Remote Similarity NPC601139
0.5132 Remote Similarity NPC471896
0.5122 Remote Similarity NPC195708
0.5068 Remote Similarity NPC48330
0.5068 Remote Similarity NPC23434

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474889 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