Natural Product: NPC75318

Natural Product IDNPC75318
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-Arabinopyranosyl(1_>6)]-2-Acetamido-2-Deoxy-Beta-D-Glucopyranosyl Echinocystic Acid
IUPAC Name (4aR,5R,6aR,6aS,6bR,8aR,10S,12aR,14bS)-10-[(2R,3R,4R,5S,6R)-3-acetamido-4,5-dihydroxy-6-[[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]oxymethyl]oxan-2-yl]oxy-5-hydroxy-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 CHEMBL1765595
PubChem CID 14217288
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 LRMCXUYYLPHGOS-CJXDOCFZSA-N
Standard InCHI InChI=1S/C43H69NO13/c1-21(45)44-30-33(50)32(49)25(20-55-36-34(51)31(48)24(46)19-54-36)56-35(30)57-29-12-13-40(6)26(39(29,4)5)11-14-41(7)27(40)10-9-22-23-17-38(2,3)15-16-43(23,37(52)53)28(47)18-42(22,41)8/h9,23-36,46-51H,10-20H2,1-8H3,(H,44,45)(H,52,53)/t23-,24-,25+,26-,27+,28+,29-,30+,31-,32+,33+,34+,35-,36-,40-,41+,42+,43+/m0/s1
SMILES CC(=N[C@H]1[C@@H](O[C@@H]([C@H]([C@@H]1O)O)CO[C@@H]1OC[C@@H]([C@@H]([C@H]1O)O)O)O[C@H]1CC[C@]2([C@H](C1(C)C)CC[C@@]1([C@@H]2CC=C2[C@@]1(C)C[C@H]([C@@]1([C@H]2CC(C)(C)CC1)C(=O)O)O)C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   807.48 Volume:   809.749
?
Van der Waals volume.
Dense:   0.997 LogP:   1.887
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.516
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.506
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 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:   0.08 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.088 Fsp3:   0.907
MCE-18:   152.976
?
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:   0.935 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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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
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.014 Promiscuous compounds:   0.075

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.818 MDCK Permeability:   -5.195
Pgp-inhibitor:   0.0 Pgp-substrate:   0.04
PAMPA:   0.999
?
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):   0.309
20% Bioavailability (F20%):   0.575 30% Bioavailability (F30%):   0.971
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.015 MRP1:   0.152
Plasma Protein Binding (PPB):   76.401% Volume Distribution (VD):   -0.473
Fu: 16.888%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.02
BSEP inhibitor:   0.005

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:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.498
HLM stability:   0.001
?
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):  0.286 Half-life (T1/2):  2.301

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.013
Human Hepatotoxicity (H-HT):  0.996 Drug-induced Liver Injury (DILI):  0.992
AMES Toxicity:  0.892 Rat Oral Acute Toxicity:  0.059
Maximum Recommended Daily Dose:  0.019 Skin Sensitization:  1.0
Carcinogencity:  0.574 Eye Corrosion:  0.0
Eye Irritation:  0.023 Respiratory Toxicity:  0.171
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.97
Hematotoxicity:  0.718 Drug-induced Nephrotoxicity:  0.959
Genotoxicity:  0.994 RPMI-8226 Immunitoxicity:  0.051
A549 Cytotoxicity:  0.515 Hek293 Cytotoxicity:  0.313
BCF:   1.11
?
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:   3.997
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.849
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.887
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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
NPO17211 Albizia inundata Species Fabaceae Eukaryota n.a. aerial part n.a. PMID[21314099]
NPO17211 Albizia inundata Species Fabaceae Eukaryota aerial parts Primavera, Department Patino, Province of Formosa, Argentina (lat. 27S, long. 58W) 1999-AUG PMID[21314099]
NPO17211 Albizia inundata 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
NPT169 Cell line B16-F10 Mus musculus IC50 = 5100.0 nM PMID[21314099]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 = 9200.0 nM PMID[21314099]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 2800.0 nM PMID[21314099]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 1800.0 nM PMID[21314099]

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 NPC75318 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
0.8687 High Similarity NPC145899
0.8485 Intermediate Similarity NPC73829
0.8061 Intermediate Similarity NPC488516
0.785 Intermediate Similarity NPC200788
0.7706 Intermediate Similarity NPC243680
0.7664 Intermediate Similarity NPC280941
0.7664 Intermediate Similarity NPC235772
0.7579 Intermediate Similarity NPC242611
0.7551 Intermediate Similarity NPC76999
0.7524 Intermediate Similarity NPC119794
0.7431 Intermediate Similarity NPC288205
0.7431 Intermediate Similarity NPC51465
0.7358 Intermediate Similarity NPC488515
0.7255 Intermediate Similarity NPC480424
0.7064 Intermediate Similarity NPC291903
0.6952 Remote Similarity NPC80843
0.672 Remote Similarity NPC120667
0.672 Remote Similarity NPC278272
0.66 Remote Similarity NPC31839
0.6522 Remote Similarity NPC475119
0.6466 Remote Similarity NPC473824
0.6348 Remote Similarity NPC475486
0.6346 Remote Similarity NPC191410
0.6239 Remote Similarity NPC488561
0.6238 Remote Similarity NPC283849
0.6228 Remote Similarity NPC37134
0.6161 Remote Similarity NPC104400
0.6161 Remote Similarity NPC10320
0.6154 Remote Similarity NPC210729
0.6154 Remote Similarity NPC82931
0.6102 Remote Similarity NPC172365
0.5982 Remote Similarity NPC469945
0.5856 Remote Similarity NPC127056
0.5776 Remote Similarity NPC481082
0.5776 Remote Similarity NPC164419
0.5766 Remote Similarity NPC56713
0.5726 Remote Similarity NPC79718
0.57 Remote Similarity NPC601365
0.5645 Remote Similarity NPC166422
0.5619 Remote Similarity NPC28198
0.5619 Remote Similarity NPC476123
0.56 Remote Similarity NPC475140
0.5526 Remote Similarity NPC6377
0.5526 Remote Similarity NPC208381
0.552 Remote Similarity NPC219180
0.5508 Remote Similarity NPC257468
0.5495 Remote Similarity NPC164194
0.5472 Remote Similarity NPC606107
0.5463 Remote Similarity NPC100383
0.5462 Remote Similarity NPC484832
0.5398 Remote Similarity NPC136877
0.5372 Remote Similarity NPC324875
0.5372 Remote Similarity NPC292677
0.5351 Remote Similarity NPC25605
0.5351 Remote Similarity NPC59804
0.5328 Remote Similarity NPC488564
0.5259 Remote Similarity NPC472949
0.5253 Remote Similarity NPC228784
0.5253 Remote Similarity NPC324341
0.5253 Remote Similarity NPC601810
0.5225 Remote Similarity NPC284807
0.5217 Remote Similarity NPC174679
0.5217 Remote Similarity NPC279554
0.5214 Remote Similarity NPC22956
0.5197 Remote Similarity NPC323341
0.5185 Remote Similarity NPC482010
0.5172 Remote Similarity NPC109079
0.5126 Remote Similarity NPC114304
0.512 Remote Similarity NPC62725
0.5113 Remote Similarity NPC161717
0.5091 Remote Similarity NPC286347
0.5081 Remote Similarity NPC488209
0.5041 Remote Similarity NPC139044
0.504 Remote Similarity NPC207738
0.5039 Remote Similarity NPC251263

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC75318 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