Natural Product: NPC88744

Natural Product IDNPC88744
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 3Alpha,11Alpha-Dihydroxylup-20(29)-En-28-Oic Acid
IUPAC Name (1R,3aS,5aR,5bR,7aR,9R,11aS,11bR,12R,13aR,13bR)-12-hydroxy-5a,5b,8,8,11a-pentamethyl-1-prop-1-en-2-yl-9-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysene-3a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1269326
PubChem CID 52949152
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 WRJZIYSNFOGUAQ-ZEJDLYSXSA-N
Standard InCHI InChI=1S/C36H58O9/c1-18(2)19-8-13-36(31(42)43)15-14-34(6)20(25(19)36)16-21(38)29-33(5)11-10-24(32(3,4)23(33)9-12-35(29,34)7)45-30-28(41)27(40)26(39)22(17-37)44-30/h19-30,37-41H,1,8-17H2,2-7H3,(H,42,43)/t19-,20+,21+,22+,23-,24+,25+,26+,27-,28+,29+,30-,33-,34+,35+,36-/m0/s1
SMILES OC[C@H]1O[C@@H](O[C@@H]2CC[C@]3([C@H](C2(C)C)CC[C@@]2([C@@H]3[C@H](O)C[C@H]3[C@@]2(C)CC[C@@]2([C@@H]3[C@@H](CC2)C(=C)C)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
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Van der Waals volume.
Dense:   0.97 LogP:   2.467
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.841
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.486
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   33.0
TPSA:   156.91
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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
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.412 Fsp3:   0.917
MCE-18:   129.42
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.941 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:   0.009
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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:   0.196 Promiscuous compounds:   0.204

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.678 MDCK Permeability:   -5.143
Pgp-inhibitor:   0.0 Pgp-substrate:   0.056
PAMPA:   0.983
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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):   0.001
20% Bioavailability (F20%):   0.015 30% Bioavailability (F30%):   0.622
50% Bioavailability (F50%):   0.834

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.067 MRP1:   0.765
Plasma Protein Binding (PPB):   84.258% Volume Distribution (VD):   -0.516
Fu: 11.959%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.024
BSEP inhibitor:   0.005

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.027 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.235 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
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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):  2.24 Half-life (T1/2):  2.364

ADMET: Toxicity

hERG Blockers:  0.016 hERG Blockers (10um):  0.02
Human Hepatotoxicity (H-HT):  0.676 Drug-induced Liver Injury (DILI):  0.906
AMES Toxicity:  0.554 Rat Oral Acute Toxicity:  0.019
Maximum Recommended Daily Dose:  0.032 Skin Sensitization:  0.998
Carcinogencity:  0.639 Eye Corrosion:  0.0
Eye Irritation:  0.084 Respiratory Toxicity:  0.122
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.98
Hematotoxicity:  0.478 Drug-induced Nephrotoxicity:  0.898
Genotoxicity:  0.293 RPMI-8226 Immunitoxicity:  0.028
A549 Cytotoxicity:  0.075 Hek293 Cytotoxicity:  0.109
BCF:   0.801
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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:   3.383
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.856
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.117
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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
NPO29834 Acanthopanax koreanum n.a. n.a. n.a. n.a. n.a. n.a. PMID[20621475]
NPO29834 Acanthopanax koreanum n.a. n.a. n.a. steamed leaves n.a. n.a. PMID[20932756]
NPO29834 Acanthopanax koreanum n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO29834 Acanthopanax koreanum n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition < 50.0 % PMID[20932756]

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 NPC88744 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
0.6556 Remote Similarity NPC51947
0.6458 Remote Similarity NPC204392
0.6364 Remote Similarity NPC2783
0.6282 Remote Similarity NPC269360
0.6263 Remote Similarity NPC275668
0.5957 Remote Similarity NPC488208
0.5934 Remote Similarity NPC224414
0.5926 Remote Similarity NPC169933
0.5859 Remote Similarity NPC240734
0.5686 Remote Similarity NPC91838
0.5612 Remote Similarity NPC488205
0.5604 Remote Similarity NPC606107
0.5556 Remote Similarity NPC57954
0.5366 Remote Similarity NPC4309
0.5361 Remote Similarity NPC473481
0.5326 Remote Similarity NPC274507
0.5244 Remote Similarity NPC271974
0.5244 Remote Similarity NPC247312
0.5238 Remote Similarity NPC160506
0.5196 Remote Similarity NPC488207
0.5165 Remote Similarity NPC473844
0.5158 Remote Similarity NPC31839
0.5149 Remote Similarity NPC108748
0.514 Remote Similarity NPC488206
0.5106 Remote Similarity NPC57362
0.5059 Remote Similarity NPC482135
0.5056 Remote Similarity NPC253586
0.5052 Remote Similarity NPC471967

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC88744 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
0.5238 Remote Similarity NPD8035 Phase 2
0.5155 Remote Similarity NPD8034 Phase 2

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