Natural Product: NPC210157

Natural Product IDNPC210157
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Acanthifolioside G
IUPAC Name [(3S,5S,8R,9S,10S,13R,14S,15S,16R,17R)-3-[(2S,3S,4R,5R,6S)-4,5-dihydroxy-6-(hydroxymethyl)-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-2-yl]oxy-10,13-dimethyl-17-[(2R)-6-methylheptan-2-yl]-15-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy-2,3,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthren-16-yl] acetate
Synonyms Acanthifolioside G
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2208392
PubChem CID 71463284
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

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 PPEZFJFBQYUODZ-QHLPEEMMSA-N
Standard InCHI InChI=1S/C47H80O17/c1-20(2)10-9-11-21(3)30-40(60-24(6)49)41(63-43-38(56)35(53)32(50)22(4)58-43)31-27-13-12-25-18-26(14-16-46(25,7)28(27)15-17-47(30,31)8)61-45-42(37(55)34(52)29(19-48)62-45)64-44-39(57)36(54)33(51)23(5)59-44/h20-23,25-45,48,50-57H,9-19H2,1-8H3/t21-,22+,23+,25+,26+,27-,28+,29+,30+,31-,32+,33+,34+,35-,36-,37-,38-,39-,40-,41+,42+,43+,44+,45+,46+,47-/m1/s1
SMILES CC(C)CCC[C@@H](C)[C@H]1[C@H]([C@H]([C@H]2[C@@H]3CC[C@H]4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO)O1)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   916.54 Volume:   908.37
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Van der Waals volume.
Dense:   1.009 LogP:   3.967
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.585
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.055
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   39.0
TPSA:   263.75
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   9.0 Rings:   7.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.094 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.263 Fsp3:   0.979
MCE-18:   142.473
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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:   0.953 Fluc inhibitor:   0.007
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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:   0.219 Promiscuous compounds:   0.034

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.103 MDCK Permeability:   -5.131
Pgp-inhibitor:   0.0 Pgp-substrate:   0.928
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):   0.017
20% Bioavailability (F20%):   0.014 30% Bioavailability (F30%):   0.712
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.056
Plasma Protein Binding (PPB):   65.732% Volume Distribution (VD):   -0.331
Fu: 24.334%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
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:   0.939 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.42
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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):  0.096 Half-life (T1/2):  2.91

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.3
Human Hepatotoxicity (H-HT):  0.411 Drug-induced Liver Injury (DILI):  0.623
AMES Toxicity:  0.295 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.395 Drug-induced Nephrotoxicity:  0.891
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.13
A549 Cytotoxicity:  0.12 Hek293 Cytotoxicity:  0.11
BCF:   1.843
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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:   3.932
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.335
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.611
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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
NPO20847 Pandaros acanthifolium Species Clathriidae Eukaryota n.a. n.a. n.a. PMID[20614907]
NPO20847 Pandaros acanthifolium Species Clathriidae Eukaryota n.a. Caribbean n.a. PMID[23245401]
NPO20847 Pandaros acanthifolium Species Clathriidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20847 Pandaros acanthifolium Species Clathriidae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. FC = 2.0 n.a. PMID[23245401]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. FC = 2.27 n.a. PMID[23245401]

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 NPC210157 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
0.6327 Remote Similarity NPC470748
0.6 Remote Similarity NPC477451
0.5729 Remote Similarity NPC291203
0.5729 Remote Similarity NPC217205
0.5625 Remote Similarity NPC297348
0.5625 Remote Similarity NPC249204
0.5625 Remote Similarity NPC48339
0.5625 Remote Similarity NPC141769
0.5625 Remote Similarity NPC477547
0.54 Remote Similarity NPC128123
0.5392 Remote Similarity NPC485601
0.5196 Remote Similarity NPC211354
0.5149 Remote Similarity NPC292467
0.5149 Remote Similarity NPC474399
0.5096 Remote Similarity NPC107962
0.5048 Remote Similarity NPC47567
0.5048 Remote Similarity NPC6295

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC210157 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