Natural Product: NPC57362

Natural Product IDNPC57362
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-O-(Beta-D-Glucopyranosyl)-23-Hydroxyursolic Acid
IUPAC Name (1S,2R,4aS,6aR,6aS,6bR,8aR,9R,10S,12aR,14bS)-9-(hydroxymethyl)-1,2,6a,6b,9,12a-hexamethyl-10-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydro-1H-picene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL461104
PubChem CID 21589723
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 SHSTYRBKXWDVCB-CWVWMCCNSA-N
Standard InCHI InChI=1S/C36H58O9/c1-19-9-14-36(31(42)43)16-15-34(5)21(26(36)20(19)2)7-8-24-32(3)12-11-25(33(4,18-38)23(32)10-13-35(24,34)6)45-30-29(41)28(40)27(39)22(17-37)44-30/h7,19-20,22-30,37-41H,8-18H2,1-6H3,(H,42,43)/t19-,20+,22-,23-,24-,25+,26+,27-,28+,29-,30+,32+,33+,34-,35-,36+/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2CC[C@]3([C@H]([C@]2(C)CO)CC[C@@]2([C@@H]3CC=C3[C@@]2(C)CC[C@@]2([C@H]3[C@@H](C)[C@H](C)CC2)C(=O)O)C)C)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   634.41 Volume:   653.712
?
Van der Waals volume.
Dense:   0.97 LogP:   2.619
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.826
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.308
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   33.0
TPSA:   156.91
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.195 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.383 Fsp3:   0.917
MCE-18:   125.333
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.905 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.036
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.175 Promiscuous compounds:   0.089

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.91 MDCK Permeability:   -5.196
Pgp-inhibitor:   0.002 Pgp-substrate:   0.007
PAMPA:   1.0
?
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):   0.007
20% Bioavailability (F20%):   0.103 30% Bioavailability (F30%):   0.173
50% Bioavailability (F50%):   0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.269 MRP1:   0.581
Plasma Protein Binding (PPB):   78.539% Volume Distribution (VD):   -0.589
Fu: 16.045%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.528 BCRP inhibitor:   0.094
BSEP inhibitor:   0.597

ADMET: Metabolism

CYP1A2-inhibitor:   0.021 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.123 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  0.809 Half-life (T1/2):  1.782

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.006
Human Hepatotoxicity (H-HT):  0.752 Drug-induced Liver Injury (DILI):  0.889
AMES Toxicity:  0.692 Rat Oral Acute Toxicity:  0.04
Maximum Recommended Daily Dose:  0.02 Skin Sensitization:  0.999
Carcinogencity:  0.755 Eye Corrosion:  0.0
Eye Irritation:  0.044 Respiratory Toxicity:  0.166
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.967
Hematotoxicity:  0.751 Drug-induced Nephrotoxicity:  0.967
Genotoxicity:  0.521 RPMI-8226 Immunitoxicity:  0.037
A549 Cytotoxicity:  0.249 Hek293 Cytotoxicity:  0.135
BCF:   0.802
?
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:   3.431
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.902
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.123
?
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
NPO24490 Cussonia bancoensis Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[14510614]
NPO24490 Cussonia bancoensis Species Araliaceae Eukaryota n.a. stem n.a. PMID[21443171]
NPO24490 Cussonia bancoensis Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24490 Cussonia bancoensis Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24490 Cussonia bancoensis Species Araliaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 22100.0 nM PMID[19555125]
NPT113 Cell line RAW264.7 Mus musculus IC50 = 126000.0 nM PMID[26200131]

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 NPC57362 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
0.8101 Intermediate Similarity NPC177246
0.7848 Intermediate Similarity NPC204407
0.7326 Intermediate Similarity NPC473481
0.7108 Intermediate Similarity NPC606107
0.7045 Intermediate Similarity NPC270667
0.7 Intermediate Similarity NPC108748
0.6889 Remote Similarity NPC136877
0.663 Remote Similarity NPC59804
0.6588 Remote Similarity NPC274507
0.6522 Remote Similarity NPC12288
0.6495 Remote Similarity NPC258885
0.6494 Remote Similarity NPC51700
0.6494 Remote Similarity NPC88716
0.6494 Remote Similarity NPC68160
0.641 Remote Similarity NPC61543
0.641 Remote Similarity NPC293048
0.641 Remote Similarity NPC225585
0.6322 Remote Similarity NPC28198
0.6322 Remote Similarity NPC476123
0.6304 Remote Similarity NPC164194
0.625 Remote Similarity NPC485589
0.618 Remote Similarity NPC31839
0.6162 Remote Similarity NPC139044
0.6125 Remote Similarity NPC173089
0.6082 Remote Similarity NPC475171
0.6071 Remote Similarity NPC230151
0.6042 Remote Similarity NPC127056
0.6042 Remote Similarity NPC109079
0.598 Remote Similarity NPC276093
0.5979 Remote Similarity NPC472949
0.5957 Remote Similarity NPC211798
0.5952 Remote Similarity NPC485586
0.5952 Remote Similarity NPC485588
0.5938 Remote Similarity NPC174679
0.5938 Remote Similarity NPC25605
0.5938 Remote Similarity NPC279554
0.5926 Remote Similarity NPC32407
0.5926 Remote Similarity NPC263548
0.5926 Remote Similarity NPC606320
0.5918 Remote Similarity NPC22956
0.59 Remote Similarity NPC180550
0.59 Remote Similarity NPC35405
0.5806 Remote Similarity NPC284807
0.5802 Remote Similarity NPC71074
0.5802 Remote Similarity NPC605937
0.58 Remote Similarity NPC114304
0.5795 Remote Similarity NPC484195
0.575 Remote Similarity NPC274330
0.5732 Remote Similarity NPC87095
0.5657 Remote Similarity NPC473884
0.5631 Remote Similarity NPC257468
0.5625 Remote Similarity NPC274050
0.5625 Remote Similarity NPC162632
0.5618 Remote Similarity NPC485585
0.5604 Remote Similarity NPC283849
0.5588 Remote Similarity NPC473383
0.5577 Remote Similarity NPC79718
0.5566 Remote Similarity NPC488564
0.5545 Remote Similarity NPC323341
0.5545 Remote Similarity NPC133818
0.5542 Remote Similarity NPC477288
0.5534 Remote Similarity NPC471383
0.5534 Remote Similarity NPC118440
0.5532 Remote Similarity NPC256798
0.5524 Remote Similarity NPC114692
0.55 Remote Similarity NPC488561
0.5484 Remote Similarity NPC286347
0.5474 Remote Similarity NPC475633
0.5474 Remote Similarity NPC473538
0.5472 Remote Similarity NPC323359
0.5472 Remote Similarity NPC324875
0.5472 Remote Similarity NPC292677
0.5437 Remote Similarity NPC11551
0.5435 Remote Similarity NPC485882
0.5429 Remote Similarity NPC95437
0.5429 Remote Similarity NPC119794
0.5426 Remote Similarity NPC100383
0.5412 Remote Similarity NPC127689
0.54 Remote Similarity NPC114441
0.5366 Remote Similarity NPC477289
0.5361 Remote Similarity NPC51947
0.5357 Remote Similarity NPC305464
0.5357 Remote Similarity NPC19376
0.5357 Remote Similarity NPC25848
0.5333 Remote Similarity NPC131469
0.5321 Remote Similarity NPC62725
0.5319 Remote Similarity NPC224121
0.5312 Remote Similarity NPC294112
0.5312 Remote Similarity NPC209894
0.53 Remote Similarity NPC56713
0.5294 Remote Similarity NPC80843
0.5278 Remote Similarity NPC187618
0.5263 Remote Similarity NPC485587
0.5258 Remote Similarity NPC191410
0.5248 Remote Similarity NPC473373
0.5248 Remote Similarity NPC178093
0.5248 Remote Similarity NPC482748
0.5234 Remote Similarity NPC236657
0.5208 Remote Similarity NPC173569
0.5204 Remote Similarity NPC189884
0.5204 Remote Similarity NPC138334
0.5204 Remote Similarity NPC30397
0.5204 Remote Similarity NPC475472
0.5169 Remote Similarity NPC471385
0.5146 Remote Similarity NPC479745
0.5143 Remote Similarity NPC104400
0.5143 Remote Similarity NPC10320
0.5133 Remote Similarity NPC471384
0.5106 Remote Similarity NPC88744
0.51 Remote Similarity NPC235841
0.51 Remote Similarity NPC297208
0.5088 Remote Similarity NPC166422
0.5088 Remote Similarity NPC219180
0.5088 Remote Similarity NPC251263
0.5059 Remote Similarity NPC37221
0.5052 Remote Similarity NPC471967
0.505 Remote Similarity NPC603870
0.5049 Remote Similarity NPC295371
0.5049 Remote Similarity NPC157868

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC57362 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