Natural Product: NPC475539

Natural Product IDNPC475539
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Gaertneroside
IUPAC Name methyl (1R,4aS,7R,7aS)-4'-[hydroxy-(4-hydroxyphenyl)methyl]-5'-oxo-1-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyspiro[4a,7a-dihydro-1H-cyclopenta[c]pyran-7,2'-furan]-4-carboxylate
Synonyms Gaertneroside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL507679
PubChem CID 44559436
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0004081] Iridoid O-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 HGHZVZYRYYMUTI-WGYUZEAXSA-N
Standard InCHI InChI=1S/C26H28O13/c1-35-22(33)15-10-36-24(38-25-21(32)20(31)19(30)16(9-27)37-25)17-13(15)6-7-26(17)8-14(23(34)39-26)18(29)11-2-4-12(28)5-3-11/h2-8,10,13,16-21,24-25,27-32H,9H2,1H3/t13-,16-,17-,18?,19-,20+,21-,24-,25+,26-/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2OC=C([C@@H]3[C@H]2[C@]2(C=C3)OC(=O)C(=C2)C(c2ccc(cc2)O)O)C(=O)OC)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   548.15 Volume:   508.651
?
Van der Waals volume.
Dense:   1.078 LogP:   0.169
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.835
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.499
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   29.0
TPSA:   201.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.181 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.606 Fsp3:   0.462
MCE-18:   147.632
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.55 Fluc inhibitor:   0.003
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.076
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.024
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.444 Promiscuous compounds:   0.201

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.027 MDCK Permeability:   -5.334
Pgp-inhibitor:   0.0 Pgp-substrate:   0.103
PAMPA:   0.995
?
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):   0.003
20% Bioavailability (F20%):   0.253 30% Bioavailability (F30%):   0.995
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.764
Plasma Protein Binding (PPB):   73.916% Volume Distribution (VD):   -0.339
Fu: 28.571%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   0.004

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:   0.031 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.728
HLM stability:   0.062
?
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):  2.195 Half-life (T1/2):  2.65

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.08
Human Hepatotoxicity (H-HT):  0.678 Drug-induced Liver Injury (DILI):  0.9
AMES Toxicity:  0.915 Rat Oral Acute Toxicity:  0.057
Maximum Recommended Daily Dose:  0.498 Skin Sensitization:  1.0
Carcinogencity:  0.636 Eye Corrosion:  0.0
Eye Irritation:  0.098 Respiratory Toxicity:  0.012
Drug-induced Neurotoxicity:  0.103 Ototoxicity:  0.967
Hematotoxicity:  0.214 Drug-induced Nephrotoxicity:  0.941
Genotoxicity:  0.987 RPMI-8226 Immunitoxicity:  0.14
A549 Cytotoxicity:  0.137 Hek293 Cytotoxicity:  0.336
BCF:   0.466
?
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:   3.192
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.808
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.956
?
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
NPO22304 Morinda morindoides Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[12542353]
NPO6568 Prismatomeris tetrandra Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[17665951]
NPO22304 Morinda morindoides Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[20149652]
NPO22304 Morinda morindoides Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[7775983]
NPO22304 Morinda morindoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6568 Prismatomeris tetrandra Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22304 Morinda morindoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6568 Prismatomeris tetrandra Species Rubiaceae 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
NPT992 Organism Entamoeba histolytica Entamoeba histolytica IC50 = 4.3 ug.mL-1 PubChem BioAssay data set
NPT610 Others Molecular identity unknown n.a. IC50 = 58000.0 nM PMID[12542353]

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
- Artemia LD50 = 224.0 nM PMID[19046886]
- Artemia LD50 = 380.0 ng/ml PMID[11421746]

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 NPC475539 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
1.0 High Similarity NPC143246
0.8481 Intermediate Similarity NPC286919
0.8481 Intermediate Similarity NPC475663
0.8148 Intermediate Similarity NPC474268
0.8148 Intermediate Similarity NPC119773
0.7821 Intermediate Similarity NPC474620
0.7654 Intermediate Similarity NPC475378
0.7 Intermediate Similarity NPC469384
0.6818 Remote Similarity NPC63304
0.68 Remote Similarity NPC254538
0.6744 Remote Similarity NPC475528
0.6667 Remote Similarity NPC180586
0.5532 Remote Similarity NPC240592
0.5532 Remote Similarity NPC117346
0.5326 Remote Similarity NPC96599
0.5269 Remote Similarity NPC31745
0.5269 Remote Similarity NPC220936
0.5244 Remote Similarity NPC475851
0.5244 Remote Similarity NPC475924
0.5053 Remote Similarity NPC202391
0.5053 Remote Similarity NPC296659

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475539 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