Natural Product: NPC469447

Natural Product IDNPC469447
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Alpha-O-Caffeoylolean-12-En-27-Oic Acid
IUPAC Name (4aR,6aR,6aR,6bR,8aR,10R,12aR,14bR)-10-[(E)-3-(3,4-dihydroxyphenyl)prop-2-enoyl]oxy-2,2,4a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-6a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1079030
PubChem CID 44254694
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 LWJORTCWCRJUEH-QHCDZFOOSA-N
Standard InCHI InChI=1S/C39H54O6/c1-34(2)18-19-36(5)20-21-39(33(43)44)25(26(36)23-34)10-12-30-37(6)16-15-31(35(3,4)29(37)14-17-38(30,39)7)45-32(42)13-9-24-8-11-27(40)28(41)22-24/h8-11,13,22,26,29-31,40-41H,12,14-21,23H2,1-7H3,(H,43,44)/b13-9+/t26-,29-,30+,31+,36+,37-,38+,39+/m0/s1
SMILES O=C(O[C@@H]1CC[C@]2([C@H](C1(C)C)CC[C@@]1([C@@H]2CC=C2[C@]1(CC[C@@]1([C@H]2CC(C)(C)CC1)C)C(=O)O)C)C)/C=C/c1ccc(c(c1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   618.39 Volume:   666.047
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Van der Waals volume.
Dense:   0.928 LogP:   4.403
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.373
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.404
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   35.0
TPSA:   104.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.135 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.933 Fsp3:   0.692
MCE-18:   165.879
?
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:   1 PAINS Alert:   1
Colloidal aggregators:   0.986 Fluc inhibitor:   0.713
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.153
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.036
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.262 Promiscuous compounds:   0.107

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.471 MDCK Permeability:   -5.035
Pgp-inhibitor:   0.775 Pgp-substrate:   0.0
PAMPA:   0.958
?
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%):   0.965 30% Bioavailability (F30%):   0.906
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.767
Plasma Protein Binding (PPB):   97.841% Volume Distribution (VD):   -0.462
Fu: 1.854%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.002
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.045 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.04 CYP2C19-substrate:   0.034
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.529 CYP3A4-substrate:   0.992
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.995
HLM stability:   0.378
?
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):  3.133 Half-life (T1/2):  1.251

ADMET: Toxicity

hERG Blockers:  0.045 hERG Blockers (10um):  0.137
Human Hepatotoxicity (H-HT):  0.692 Drug-induced Liver Injury (DILI):  0.906
AMES Toxicity:  0.347 Rat Oral Acute Toxicity:  0.293
Maximum Recommended Daily Dose:  0.562 Skin Sensitization:  0.999
Carcinogencity:  0.829 Eye Corrosion:  0.029
Eye Irritation:  0.728 Respiratory Toxicity:  0.601
Drug-induced Neurotoxicity:  0.013 Ototoxicity:  0.7
Hematotoxicity:  0.206 Drug-induced Nephrotoxicity:  0.801
Genotoxicity:  0.941 RPMI-8226 Immunitoxicity:  0.01
A549 Cytotoxicity:  0.521 Hek293 Cytotoxicity:  0.292
BCF:   1.369
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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:   4.738
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.235
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.719
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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
NPO24475 Aceriphyllum rossii n.a. n.a. n.a. n.a. n.a. n.a. PMID[19618898]
NPO24475 Aceriphyllum rossii n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO24475 Aceriphyllum rossii n.a. n.a. n.a. 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
NPT83 Cell line MCF7 Homo sapiens IC50 > 150000.0 nM PubChem BioAssay data set
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 150000.0 nM PMID[19618898]

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 NPC469447 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
0.6875 Remote Similarity NPC470590
0.6875 Remote Similarity NPC285184
0.6186 Remote Similarity NPC477873
0.6 Remote Similarity NPC86257
0.5943 Remote Similarity NPC53520
0.5816 Remote Similarity NPC8102
0.5816 Remote Similarity NPC66894
0.5682 Remote Similarity NPC260149
0.567 Remote Similarity NPC307205
0.55 Remote Similarity NPC477874
0.5455 Remote Similarity NPC155192
0.5429 Remote Similarity NPC610795
0.5393 Remote Similarity NPC195715
0.5368 Remote Similarity NPC473612
0.5349 Remote Similarity NPC17733
0.5349 Remote Similarity NPC470629
0.5341 Remote Similarity NPC60755
0.5341 Remote Similarity NPC1753
0.5341 Remote Similarity NPC77099
0.5288 Remote Similarity NPC172311
0.5281 Remote Similarity NPC209868
0.5275 Remote Similarity NPC158347
0.5233 Remote Similarity NPC251779
0.5149 Remote Similarity NPC182249
0.5149 Remote Similarity NPC473591
0.5149 Remote Similarity NPC248287
0.5149 Remote Similarity NPC234548
0.5096 Remote Similarity NPC22676
0.5094 Remote Similarity NPC132126

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469447 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