Natural Product: NPC469821

Natural Product IDNPC469821
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Acankoreoside N
IUPAC Name [(2R,3S,4R,5R,6S)-6-[[(2S,3S,4S,5R,6S)-3,4-dihydroxy-6-(hydroxymethyl)-5-[(2R,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-2-yl]oxymethyl]-3,4,5-trihydroxyoxan-2-yl] (1R,3aS,5aR,5bR,7aR,9R,11aS,11bR,12R,13aR,13bS)-12-hydroxy-1-(3-hydroxyprop-1-en-2-yl)-5a,5b,8,8,11a-pentamethyl-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-carboxylate
Synonyms acankoreoside N
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1209875
PubChem CID 49862813
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 FKPSIWHVNUWRQS-LQGGZQDSSA-N
Standard InCHI InChI=1S/C54H88O24/c1-21(17-55)23-8-13-54(49(70)78-48-41(68)37(64)34(61)28(75-48)20-71-45-42(69)38(65)43(27(19-57)74-45)77-46-39(66)35(62)32(59)22(2)72-46)15-14-52(6)24(31(23)54)16-25(58)44-51(5)11-10-30(50(3,4)29(51)9-12-53(44,52)7)76-47-40(67)36(63)33(60)26(18-56)73-47/h22-48,55-69H,1,8-20H2,2-7H3/t22-,23-,24+,25+,26+,27-,28-,29-,30+,31+,32-,33+,34-,35+,36-,37+,38-,39+,40+,41-,42-,43-,44+,45-,46+,47-,48+,51-,52+,53+,54-/m0/s1
SMILES OC[C@@H]1O[C@H](OC[C@@H]2O[C@H](OC(=O)[C@@]34CC[C@H]([C@@H]4[C@@H]4[C@](CC3)(C)[C@]3(C)CC[C@@H]5[C@]([C@H]3[C@@H](C4)O)(C)CC[C@H](C5(C)C)O[C@@H]3O[C@H](CO)[C@H]([C@@H]([C@H]3O)O)O)C(=C)CO)[C@H]([C@@H]([C@H]2O)O)O)[C@H]([C@@H]([C@H]1O[C@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1120.57 Volume:   1071.224
?
Van der Waals volume.
Dense:   1.046 LogP:   0.164
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.921
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.814
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   51.0
TPSA:   394.36
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Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   15.0 Rings:   9.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.049 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.987 Fsp3:   0.944
MCE-18:   197.448
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.767 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:   0.002
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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:   0.242 Promiscuous compounds:   0.025

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.914 MDCK Permeability:   -4.959
Pgp-inhibitor:   0.0 Pgp-substrate:   0.983
PAMPA:   1.0
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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):   0.927
20% Bioavailability (F20%):   0.309 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.001
Plasma Protein Binding (PPB):   65.498% Volume Distribution (VD):   -0.259
Fu: 17.559%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.0

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:   0.003 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.739
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):  -0.858 Half-life (T1/2):  4.385

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.008
Human Hepatotoxicity (H-HT):  0.463 Drug-induced Liver Injury (DILI):  0.785
AMES Toxicity:  0.757 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.008 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.263 Drug-induced Nephrotoxicity:  0.995
Genotoxicity:  0.013 RPMI-8226 Immunitoxicity:  0.232
A549 Cytotoxicity:  0.075 Hek293 Cytotoxicity:  0.051
BCF:   1.069
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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:   3.469
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.992
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.042
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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
NPT2 Others Unspecified n.a. Activity = 1.5 pg/ml PMID[11052720]
NPT2 Others Unspecified n.a. Activity = 1.55 pg/ml PMID[20888765]
NPT2 Others Unspecified n.a. Activity = 1.92 pg/ml DrugMatrix in vivo data: Hematology
NPT2 Others Unspecified n.a. Activity = 17.11 pg/ml PMID[19654408]
NPT2 Others Unspecified n.a. Activity = 13.66 pg/ml PMID[19833521]
NPT2 Others Unspecified n.a. Activity = 19.06 pg/ml PMID[19663388]

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 NPC469821 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
0.81 Intermediate Similarity NPC469822
0.7857 Intermediate Similarity NPC1876
0.7624 Intermediate Similarity NPC137414
0.729 Intermediate Similarity NPC469820
0.6514 Remote Similarity NPC148417
0.6429 Remote Similarity NPC469823
0.6182 Remote Similarity NPC287269
0.6122 Remote Similarity NPC473844
0.6018 Remote Similarity NPC146563
0.5893 Remote Similarity NPC54395
0.582 Remote Similarity NPC475160
0.582 Remote Similarity NPC473714
0.5812 Remote Similarity NPC295823
0.5812 Remote Similarity NPC174720
0.5812 Remote Similarity NPC475467
0.5738 Remote Similarity NPC135904
0.563 Remote Similarity NPC473826
0.5603 Remote Similarity NPC470478
0.5556 Remote Similarity NPC476068
0.5528 Remote Similarity NPC165204
0.5492 Remote Similarity NPC60557
0.5492 Remote Similarity NPC67857
0.5476 Remote Similarity NPC481080
0.5469 Remote Similarity NPC258617
0.5426 Remote Similarity NPC43550
0.5397 Remote Similarity NPC488560
0.5385 Remote Similarity NPC136768
0.5385 Remote Similarity NPC469825
0.5385 Remote Similarity NPC305981
0.5344 Remote Similarity NPC261506
0.5344 Remote Similarity NPC4328
0.5299 Remote Similarity NPC101744
0.5294 Remote Similarity NPC469826
0.5289 Remote Similarity NPC241909
0.5271 Remote Similarity NPC110633
0.5268 Remote Similarity NPC48499
0.5231 Remote Similarity NPC41061
0.5231 Remote Similarity NPC227551
0.5224 Remote Similarity NPC250247
0.5221 Remote Similarity NPC11035
0.5207 Remote Similarity NPC469827
0.5197 Remote Similarity NPC100639
0.5167 Remote Similarity NPC134835
0.5115 Remote Similarity NPC475514
0.5093 Remote Similarity NPC272242
0.5089 Remote Similarity NPC470543
0.5085 Remote Similarity NPC469824
0.5085 Remote Similarity NPC104071
0.5079 Remote Similarity NPC192600
0.5042 Remote Similarity NPC156651
0.5042 Remote Similarity NPC102439
0.5041 Remote Similarity NPC601659
0.5038 Remote Similarity NPC236638
0.5038 Remote Similarity NPC294453

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469821 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