Natural Product: NPC470589

Natural Product IDNPC470589
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Alpha,24-Dihydroxyolean-12-En-27-Oic Acid
IUPAC Name (4aR,6aR,6aR,6bR,9S,10R,12aR,14bR)-10-hydroxy-9-(hydroxymethyl)-2,2,4a,6b,9,12a-hexamethyl-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 CHEMBL207657
PubChem CID 44411959
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 HQGWITLOHQUPBL-NFHCHMPHSA-N
Standard InCHI InChI=1S/C30H48O4/c1-25(2)13-14-26(3)15-16-30(24(33)34)19(20(26)17-25)7-8-22-27(4)11-10-23(32)28(5,18-31)21(27)9-12-29(22,30)6/h7,20-23,31-32H,8-18H2,1-6H3,(H,33,34)/t20-,21?,22+,23+,26+,27-,28+,29+,30+/m0/s1
SMILES OC[C@@]1(C)[C@H](O)CC[C@]2(C1CC[C@@]1([C@@H]2CC=C2[C@]1(CC[C@@]1([C@H]2CC(CC1)(C)C)C)C(=O)O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
?
Van der Waals volume.
Dense:   0.918 LogP:   3.229
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.771
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.096
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.418 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.877 Fsp3:   0.9
MCE-18:   105.368
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.5 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.385 Promiscuous compounds:   0.062

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.38 MDCK Permeability:   -5.008
Pgp-inhibitor:   0.133 Pgp-substrate:   0.024
PAMPA:   0.993
?
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%):   0.78 30% Bioavailability (F30%):   0.111
50% Bioavailability (F50%):   0.964

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.665 MRP1:   0.986
Plasma Protein Binding (PPB):   87.28% Volume Distribution (VD):   -0.396
Fu: 14.253%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.884 BCRP inhibitor:   0.062
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.367 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.02 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.909 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.101
?
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):  3.695 Half-life (T1/2):  1.311

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.045
Human Hepatotoxicity (H-HT):  0.704 Drug-induced Liver Injury (DILI):  0.202
AMES Toxicity:  0.147 Rat Oral Acute Toxicity:  0.282
Maximum Recommended Daily Dose:  0.448 Skin Sensitization:  0.97
Carcinogencity:  0.971 Eye Corrosion:  0.004
Eye Irritation:  0.655 Respiratory Toxicity:  0.824
Drug-induced Neurotoxicity:  0.012 Ototoxicity:  0.583
Hematotoxicity:  0.123 Drug-induced Nephrotoxicity:  0.671
Genotoxicity:  0.558 RPMI-8226 Immunitoxicity:  0.037
A549 Cytotoxicity:  0.074 Hek293 Cytotoxicity:  0.27
BCF:   1.139
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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:   3.728
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.44
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.583
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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
NPO21023 Astilbe koreana Species Saxifragaceae Eukaryota n.a. n.a. n.a. PMID[16580200]
NPO21023 Astilbe koreana Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21023 Astilbe koreana Species Saxifragaceae 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 = 11700.0 nM PMID[17291045]

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 NPC470589 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 NPC126369
1.0 High Similarity NPC111110
0.85 High Similarity NPC17733
0.85 High Similarity NPC470629
0.7969 Intermediate Similarity NPC209868
0.7692 Intermediate Similarity NPC476318
0.7273 Intermediate Similarity NPC1753
0.697 Remote Similarity NPC473240
0.6667 Remote Similarity NPC251779
0.6471 Remote Similarity NPC473242
0.6471 Remote Similarity NPC290690
0.6418 Remote Similarity NPC71507
0.6377 Remote Similarity NPC189880
0.6286 Remote Similarity NPC470590
0.6286 Remote Similarity NPC285184
0.6176 Remote Similarity NPC199595
0.5946 Remote Similarity NPC158347
0.589 Remote Similarity NPC476327
0.589 Remote Similarity NPC263393
0.5857 Remote Similarity NPC242631
0.5676 Remote Similarity NPC195715
0.56 Remote Similarity NPC260149
0.5588 Remote Similarity NPC196753
0.5479 Remote Similarity NPC270768
0.5479 Remote Similarity NPC59263
0.5479 Remote Similarity NPC210106
0.5211 Remote Similarity NPC53744
0.5135 Remote Similarity NPC159365
0.5067 Remote Similarity NPC229281
0.5067 Remote Similarity NPC121798
0.5067 Remote Similarity NPC234346

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470589 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