Natural Product: NPC246893

Natural Product IDNPC246893
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Reticuloside
IUPAC Name methyl (4S,5E,6S)-5-ethylidene-4-[2-oxo-2-[[(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-[4-[(E)-3-hydroxyprop-1-enyl]-2,6-dimethoxyphenoxy]oxan-2-yl]methoxy]ethyl]-6-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-4H-pyran-3-carboxylate
Synonyms Reticuloside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1911051
PubChem CID 57390293
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003918] Saccharolipids

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 UUUCHDSMSNBEBE-FFAJWEQASA-N
Standard InCHI InChI=1S/C34H46O19/c1-5-16-17(18(31(44)47-4)13-49-32(16)53-34-29(43)26(40)24(38)21(12-36)50-34)11-23(37)48-14-22-25(39)27(41)28(42)33(51-22)52-30-19(45-2)9-15(7-6-8-35)10-20(30)46-3/h5-7,9-10,13,17,21-22,24-29,32-36,38-43H,8,11-12,14H2,1-4H3/b7-6+,16-5+/t17-,21+,22+,24+,25+,26-,27-,28+,29+,32-,33-,34-/m0/s1
SMILES OC/C=C/c1cc(OC)c(c(c1)OC)O[C@@H]1O[C@H](COC(=O)C[C@H]2/C(=CC)/[C@@H](OC=C2C(=O)OC)O[C@@H]2O[C@H](CO)[C@H]([C@@H]([C@H]2O)O)O)[C@H]([C@@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   758.26 Volume:   708.317
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Van der Waals volume.
Dense:   1.071 LogP:   -0.276
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.39
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.618
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The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   28.0
TPSA:   279.05
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.073 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.448 Fsp3:   0.588
MCE-18:   110.222
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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:   0.443 Fluc inhibitor:   0.24
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.114
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.496
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.101 Promiscuous compounds:   0.129

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.83 MDCK Permeability:   -5.193
Pgp-inhibitor:   0.0 Pgp-substrate:   0.649
PAMPA:   0.997
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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):   0.198
20% Bioavailability (F20%):   0.35 30% Bioavailability (F30%):   0.993
50% Bioavailability (F50%):   0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.388
Plasma Protein Binding (PPB):   73.501% Volume Distribution (VD):   -0.315
Fu: 22.762%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.061
BSEP inhibitor:   0.01

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:   0.0 CYP3A4-substrate:   0.116
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.683
HLM stability:   0.308
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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):  0.994 Half-life (T1/2):  2.67

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.041
Human Hepatotoxicity (H-HT):  0.941 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.95 Rat Oral Acute Toxicity:  0.03
Maximum Recommended Daily Dose:  0.085 Skin Sensitization:  1.0
Carcinogencity:  0.104 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.064 Ototoxicity:  0.994
Hematotoxicity:  0.46 Drug-induced Nephrotoxicity:  0.964
Genotoxicity:  0.988 RPMI-8226 Immunitoxicity:  0.473
A549 Cytotoxicity:  0.746 Hek293 Cytotoxicity:  0.216
BCF:   0.358
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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:   3.044
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.161
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.033
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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
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[21955940]
NPO16259 Syringa reticulata Species Oleaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16259 Syringa reticulata Species Oleaceae 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. EC50 = 64140.0 nM PMID[21955940]
NPT1 Others Radical scavenging activity n.a. EC50 > 100000.0 nM PMID[22037378]

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 NPC246893 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
0.8652 High Similarity NPC488385
0.7253 Intermediate Similarity NPC488388
0.6421 Remote Similarity NPC488384
0.6207 Remote Similarity NPC469543
0.6186 Remote Similarity NPC488383
0.6105 Remote Similarity NPC600692
0.6061 Remote Similarity NPC23677
0.6 Remote Similarity NPC65262
0.6 Remote Similarity NPC84429
0.6 Remote Similarity NPC101686
0.5941 Remote Similarity NPC198577
0.5904 Remote Similarity NPC303451
0.5904 Remote Similarity NPC72358
0.5743 Remote Similarity NPC469364
0.5743 Remote Similarity NPC609284
0.5567 Remote Similarity NPC169398
0.551 Remote Similarity NPC296643
0.551 Remote Similarity NPC299576
0.5455 Remote Similarity NPC488387
0.5422 Remote Similarity NPC49074
0.5405 Remote Similarity NPC488386
0.5222 Remote Similarity NPC164857
0.5056 Remote Similarity NPC470236

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC246893 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