Natural Product: NPC114441

Natural Product IDNPC114441
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-O-[Alpha-L-Rhamnopyranoside(1->3)-Beta-D-Glucopyranosiduronic Acid]Oleanolic Acid
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(3S,4aR,6aR,6bS,8aS,12aS,14aR,14bR)-8a-carboxy-4,4,6a,6b,11,11,14b-heptamethyl-1,2,3,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydropicen-3-yl]oxy]-3,5-dihydroxy-4-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxane-2-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL452390
PubChem CID 44566867
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 NSJVFPXRIPXFLW-RWTBGSELSA-N
Standard InCHI InChI=1S/C42H66O13/c1-20-26(43)27(44)28(45)34(52-20)54-31-29(46)32(33(48)49)55-35(30(31)47)53-25-12-13-39(6)23(38(25,4)5)11-14-41(8)24(39)10-9-21-22-19-37(2,3)15-17-42(22,36(50)51)18-16-40(21,41)7/h9,20,22-32,34-35,43-47H,10-19H2,1-8H3,(H,48,49)(H,50,51)/t20-,22-,23-,24+,25-,26-,27+,28+,29-,30+,31-,32-,34-,35+,39-,40+,41+,42-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@H]1[C@@H]([C@@H](C(=O)O)O[C@H]([C@@H]1O)O[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)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   778.45 Volume:   781.456
?
Van der Waals volume.
Dense:   0.996 LogP:   2.548
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.75
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.343
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   40.0
TPSA:   212.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.15 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.766 Fsp3:   0.905
MCE-18:   154.0
?
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:   0.959 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
?
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:   0.215 Promiscuous compounds:   0.124

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.877 MDCK Permeability:   -5.206
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
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):   0.086
20% Bioavailability (F20%):   0.226 30% Bioavailability (F30%):   0.387
50% Bioavailability (F50%):   0.992

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.668
Plasma Protein Binding (PPB):   80.195% Volume Distribution (VD):   -0.568
Fu: 14.39%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.001
BSEP inhibitor:   0.001

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:   0.991 CYP3A4-substrate:   0.881
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.038
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):  0.333 Half-life (T1/2):  3.886

ADMET: Toxicity

hERG Blockers:  0.013 hERG Blockers (10um):  0.017
Human Hepatotoxicity (H-HT):  0.633 Drug-induced Liver Injury (DILI):  0.969
AMES Toxicity:  0.206 Rat Oral Acute Toxicity:  0.055
Maximum Recommended Daily Dose:  0.036 Skin Sensitization:  0.989
Carcinogencity:  0.107 Eye Corrosion:  0.0
Eye Irritation:  0.012 Respiratory Toxicity:  0.11
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.984
Hematotoxicity:  0.389 Drug-induced Nephrotoxicity:  0.948
Genotoxicity:  0.54 RPMI-8226 Immunitoxicity:  0.043
A549 Cytotoxicity:  0.031 Hek293 Cytotoxicity:  0.071
BCF:   0.986
?
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:   3.902
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.692
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.777
?
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
NPO6683 Salacia petenensis Species Celastraceae Eukaryota n.a. bark n.a. PMID[11270725]
NPO5192 Cistus albidus Species Cistaceae Eukaryota n.a. whole plant n.a. PMID[19167901]
NPO5192 Cistus albidus Species Cistaceae Eukaryota n.a. n.a. n.a. PMID[38435667]
NPO5192 Cistus albidus Species Cistaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5192 Cistus albidus Species Cistaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6683 Salacia petenensis Species Celastraceae 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
NPT3469 Organism Biomphalaria glabrata Biomphalaria glabrata Activity = 4.0 ppm DOI[10.1021/np9604137]

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 NPC114441 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
0.8352 Intermediate Similarity NPC6377
0.8352 Intermediate Similarity NPC208381
0.7727 Intermediate Similarity NPC286347
0.75 Intermediate Similarity NPC606107
0.7188 Intermediate Similarity NPC25605
0.7188 Intermediate Similarity NPC56713
0.7143 Intermediate Similarity NPC22956
0.7041 Intermediate Similarity NPC472949
0.6931 Remote Similarity NPC180550
0.6931 Remote Similarity NPC35405
0.6923 Remote Similarity NPC283849
0.6875 Remote Similarity NPC270667
0.6832 Remote Similarity NPC114304
0.6827 Remote Similarity NPC114484
0.6813 Remote Similarity NPC204407
0.6762 Remote Similarity NPC324875
0.6762 Remote Similarity NPC292677
0.6737 Remote Similarity NPC294112
0.6701 Remote Similarity NPC164194
0.6635 Remote Similarity NPC481082
0.6635 Remote Similarity NPC164419
0.6635 Remote Similarity NPC257468
0.6566 Remote Similarity NPC12288
0.65 Remote Similarity NPC174679
0.65 Remote Similarity NPC279554
0.6442 Remote Similarity NPC159309
0.6442 Remote Similarity NPC86222
0.6436 Remote Similarity NPC127056
0.6436 Remote Similarity NPC109079
0.6286 Remote Similarity NPC104400
0.6286 Remote Similarity NPC10320
0.6283 Remote Similarity NPC166422
0.6283 Remote Similarity NPC219180
0.6283 Remote Similarity NPC251263
0.6263 Remote Similarity NPC480938
0.625 Remote Similarity NPC31839
0.6211 Remote Similarity NPC28198
0.6211 Remote Similarity NPC476123
0.6204 Remote Similarity NPC276093
0.6186 Remote Similarity NPC161717
0.6174 Remote Similarity NPC54636
0.6078 Remote Similarity NPC136877
0.6075 Remote Similarity NPC139044
0.6075 Remote Similarity NPC471383
0.6058 Remote Similarity NPC488561
0.602 Remote Similarity NPC100383
0.5963 Remote Similarity NPC79718
0.5943 Remote Similarity NPC469945
0.5865 Remote Similarity NPC59804
0.5856 Remote Similarity NPC323359
0.5843 Remote Similarity NPC120840
0.5842 Remote Similarity NPC191410
0.5841 Remote Similarity NPC480936
0.5818 Remote Similarity NPC119794
0.5804 Remote Similarity NPC488564
0.5798 Remote Similarity NPC21691
0.5784 Remote Similarity NPC475472
0.5776 Remote Similarity NPC323341
0.5776 Remote Similarity NPC133818
0.5752 Remote Similarity NPC475486
0.5743 Remote Similarity NPC284807
0.5727 Remote Similarity NPC73829
0.5702 Remote Similarity NPC11242
0.5702 Remote Similarity NPC62725
0.57 Remote Similarity NPC242611
0.5664 Remote Similarity NPC488209
0.5607 Remote Similarity NPC488516
0.5565 Remote Similarity NPC480939
0.5506 Remote Similarity NPC480946
0.5506 Remote Similarity NPC130577
0.5506 Remote Similarity NPC142415
0.5506 Remote Similarity NPC102683
0.5472 Remote Similarity NPC603870
0.5437 Remote Similarity NPC480937
0.5431 Remote Similarity NPC280941
0.5431 Remote Similarity NPC235772
0.5421 Remote Similarity NPC108748
0.5413 Remote Similarity NPC80843
0.5403 Remote Similarity NPC471385
0.54 Remote Similarity NPC57362
0.5391 Remote Similarity NPC477193
0.5366 Remote Similarity NPC478596
0.5357 Remote Similarity NPC258885
0.5345 Remote Similarity NPC477194
0.5328 Remote Similarity NPC4749
0.5328 Remote Similarity NPC478597
0.5328 Remote Similarity NPC488211
0.5321 Remote Similarity NPC157868
0.5294 Remote Similarity NPC478600
0.5294 Remote Similarity NPC478599
0.5288 Remote Similarity NPC473538
0.5278 Remote Similarity NPC309780
0.5275 Remote Similarity NPC270768
0.5275 Remote Similarity NPC59263
0.5275 Remote Similarity NPC210106
0.5275 Remote Similarity NPC275809
0.5273 Remote Similarity NPC482746
0.5263 Remote Similarity NPC488515
0.5254 Remote Similarity NPC476992
0.5253 Remote Similarity NPC484195
0.525 Remote Similarity NPC471384
0.5238 Remote Similarity NPC480943
0.5161 Remote Similarity NPC478598
0.5161 Remote Similarity NPC298554
0.5133 Remote Similarity NPC44716
0.5118 Remote Similarity NPC111466
0.5104 Remote Similarity NPC96580
0.5091 Remote Similarity NPC173583
0.5088 Remote Similarity NPC475591
0.5088 Remote Similarity NPC236870
0.5086 Remote Similarity NPC281148
0.5078 Remote Similarity NPC302543
0.5054 Remote Similarity NPC158141
0.5047 Remote Similarity NPC473481
0.5047 Remote Similarity NPC475611
0.5043 Remote Similarity NPC477075

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC114441 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
0.5865 Remote Similarity NPD8295 Clinical (unspecified phase)

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