Natural Product: NPC119794

Natural Product IDNPC119794
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-(1''->6')-2'-Acetamido-2'-Deoxy-Beta-D-Glucopyranosy;}Olean-12-En-28-Oic Acid
IUPAC Name (4aS,6aR,6aS,6bR,8aR,10S,12aR,14bR)-10-[(2R,3R,4R,5S,6R)-3-acetamido-4,5-dihydroxy-6-[[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxymethyl]oxan-2-yl]oxy-2,2,6a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL451292
PubChem CID 44584414
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 DGJYXRGKFXEUEM-QTYUJLANSA-N
Standard InCHI InChI=1S/C44H71NO13/c1-22(47)45-30-33(50)32(49)26(21-55-37-35(52)34(51)31(48)25(20-46)56-37)57-36(30)58-29-12-13-41(6)27(40(29,4)5)11-14-43(8)28(41)10-9-23-24-19-39(2,3)15-17-44(24,38(53)54)18-16-42(23,43)7/h9,24-37,46,48-52H,10-21H2,1-8H3,(H,45,47)(H,53,54)/t24-,25-,26-,27+,28-,29+,30-,31-,32-,33-,34+,35-,36+,37-,41+,42-,43-,44+/m1/s1
SMILES CC(=N[C@@H]1[C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O[C@H]1O[C@H]1CC[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC=C2[C@H]4CC(C)(C)CC[C@@]4(CC[C@@]32C)C(=O)O)C1(C)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   821.49 Volume:   827.045
?
Van der Waals volume.
Dense:   0.993 LogP:   1.564
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.234
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.247
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   40.0
TPSA:   228.19
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.075 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.991 Fsp3:   0.909
MCE-18:   152.0
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.984 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
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:   0.02 Promiscuous compounds:   0.097

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.865 MDCK Permeability:   -5.129
Pgp-inhibitor:   0.0 Pgp-substrate:   0.003
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):   0.232
20% Bioavailability (F20%):   0.121 30% Bioavailability (F30%):   0.907
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.033 MRP1:   0.062
Plasma Protein Binding (PPB):   77.51% Volume Distribution (VD):   -0.431
Fu: 15.806%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.034
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 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:   0.996 CYP3A4-substrate:   0.83
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.004
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):  0.215 Half-life (T1/2):  2.68

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.995 Drug-induced Liver Injury (DILI):  0.994
AMES Toxicity:  0.888 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.008 Skin Sensitization:  1.0
Carcinogencity:  0.427 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.026
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.99
Hematotoxicity:  0.569 Drug-induced Nephrotoxicity:  0.94
Genotoxicity:  0.97 RPMI-8226 Immunitoxicity:  0.028
A549 Cytotoxicity:  0.105 Hek293 Cytotoxicity:  0.156
BCF:   1.221
?
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:   4.078
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.984
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.044
?
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
NPO2634 Tetrapleura tetraptera Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[36524784]
NPO2634 Tetrapleura tetraptera Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[8289059]
NPO2634 Tetrapleura tetraptera Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2634 Tetrapleura tetraptera Species Fabaceae 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
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 4.1 n.a. PMID[26383126]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 4.2 n.a. PMID[18942826]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 4.0 n.a. PMID[18942826]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 3.1 n.a. PMID[19317450]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 5.0 n.a. PMID[18942826]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium Activity = 100.0 % PMID[18558669]
NPT3469 Organism Biomphalaria glabrata Biomphalaria glabrata Activity = 100.0 % PMID[12105963]

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 NPC119794 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
0.866 High Similarity NPC73829
0.8155 Intermediate Similarity NPC280941
0.8155 Intermediate Similarity NPC235772
0.8065 Intermediate Similarity NPC191410
0.7524 Intermediate Similarity NPC75318
0.7419 Intermediate Similarity NPC606107
0.74 Intermediate Similarity NPC127056
0.7374 Intermediate Similarity NPC136877
0.7347 Intermediate Similarity NPC164194
0.7238 Intermediate Similarity NPC257468
0.7157 Intermediate Similarity NPC472949
0.7157 Intermediate Similarity NPC488561
0.6991 Remote Similarity NPC219180
0.6972 Remote Similarity NPC488564
0.6961 Remote Similarity NPC25605
0.6893 Remote Similarity NPC109079
0.6852 Remote Similarity NPC79718
0.6832 Remote Similarity NPC76999
0.6796 Remote Similarity NPC59804
0.6792 Remote Similarity NPC114304
0.6771 Remote Similarity NPC204407
0.6762 Remote Similarity NPC22956
0.6729 Remote Similarity NPC104400
0.6729 Remote Similarity NPC10320
0.6727 Remote Similarity NPC324875
0.6727 Remote Similarity NPC292677
0.6701 Remote Similarity NPC283849
0.6696 Remote Similarity NPC166422
0.6667 Remote Similarity NPC139044
0.6636 Remote Similarity NPC145899
0.6635 Remote Similarity NPC56713
0.6574 Remote Similarity NPC180550
0.6574 Remote Similarity NPC35405
0.6549 Remote Similarity NPC62725
0.6535 Remote Similarity NPC284807
0.6491 Remote Similarity NPC288205
0.6491 Remote Similarity NPC51465
0.6441 Remote Similarity NPC54636
0.6429 Remote Similarity NPC323359
0.6389 Remote Similarity NPC469945
0.6381 Remote Similarity NPC12288
0.6346 Remote Similarity NPC270667
0.6296 Remote Similarity NPC80843
0.6293 Remote Similarity NPC200788
0.6271 Remote Similarity NPC251263
0.6238 Remote Similarity NPC31839
0.62 Remote Similarity NPC28198
0.62 Remote Similarity NPC476123
0.6195 Remote Similarity NPC276093
0.6186 Remote Similarity NPC323341
0.6186 Remote Similarity NPC243680
0.6179 Remote Similarity NPC161717
0.6168 Remote Similarity NPC174679
0.6168 Remote Similarity NPC279554
0.6161 Remote Similarity NPC481082
0.6161 Remote Similarity NPC164419
0.6095 Remote Similarity NPC475472
0.6078 Remote Similarity NPC286347
0.6071 Remote Similarity NPC471383
0.6055 Remote Similarity NPC488516
0.6 Remote Similarity NPC291903
0.5909 Remote Similarity NPC6377
0.5909 Remote Similarity NPC208381
0.5865 Remote Similarity NPC100383
0.5841 Remote Similarity NPC473383
0.5826 Remote Similarity NPC488515
0.5818 Remote Similarity NPC114441
0.5798 Remote Similarity NPC475119
0.5794 Remote Similarity NPC471385
0.5785 Remote Similarity NPC133818
0.5763 Remote Similarity NPC475486
0.575 Remote Similarity NPC473824
0.5714 Remote Similarity NPC242611
0.5691 Remote Similarity NPC475140
0.5684 Remote Similarity NPC120840
0.5667 Remote Similarity NPC476992
0.5656 Remote Similarity NPC471384
0.5625 Remote Similarity NPC470512
0.5607 Remote Similarity NPC473538
0.5545 Remote Similarity NPC48499
0.5455 Remote Similarity NPC480939
0.5455 Remote Similarity NPC210729
0.5455 Remote Similarity NPC82931
0.5448 Remote Similarity NPC120667
0.5448 Remote Similarity NPC278272
0.5431 Remote Similarity NPC173859
0.5429 Remote Similarity NPC57362
0.5417 Remote Similarity NPC488209
0.541 Remote Similarity NPC172365
0.5398 Remote Similarity NPC480424
0.5385 Remote Similarity NPC63159
0.5364 Remote Similarity NPC475611
0.5339 Remote Similarity NPC470514
0.5333 Remote Similarity NPC481079
0.5328 Remote Similarity NPC470915
0.5323 Remote Similarity NPC151543
0.5321 Remote Similarity NPC294112
0.5321 Remote Similarity NPC475633
0.5317 Remote Similarity NPC470218
0.5299 Remote Similarity NPC251768
0.5267 Remote Similarity NPC111466
0.5225 Remote Similarity NPC473481
0.521 Remote Similarity NPC470513
0.5207 Remote Similarity NPC301449
0.5207 Remote Similarity NPC601290
0.5169 Remote Similarity NPC148603
0.5167 Remote Similarity NPC484832
0.5128 Remote Similarity NPC192791
0.5115 Remote Similarity NPC258617
0.5052 Remote Similarity NPC480946
0.5052 Remote Similarity NPC130577
0.5052 Remote Similarity NPC142415
0.5052 Remote Similarity NPC102683
0.505 Remote Similarity NPC296164
0.5043 Remote Similarity NPC263756
0.5043 Remote Similarity NPC108748
0.5043 Remote Similarity NPC213674
0.5043 Remote Similarity NPC469946
0.5041 Remote Similarity NPC64715

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC119794 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