Natural Product: NPC5786

Natural Product IDNPC5786
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
4-O-{6-O-[4-O-(6-O-Syringyloyl-Beta-D-Glucopyranosyl)Vanilloyl]-Beta-D-Glucopyranosyl}-2-Methoxy-P-Hydroxyquinone
IUPAC Name [(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-[2-methoxy-4-[[(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-(4-hydroxy-3-methoxyphenoxy)oxan-2-yl]methoxycarbonyl]phenoxy]oxan-2-yl]methyl 4-hydroxy-3,5-dimethoxybenzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL507011
PubChem CID 24878851
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins
        • [CHEMONTID:0001710] Hydrolyzable tannins

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 OCULIFYKQDFJQQ-JRGOIJCHSA-N
Standard InCHI InChI=1S/C36H42O20/c1-47-20-12-17(6-7-18(20)37)53-35-31(43)29(41)27(39)24(55-35)13-51-33(45)15-5-8-19(21(9-15)48-2)54-36-32(44)30(42)28(40)25(56-36)14-52-34(46)16-10-22(49-3)26(38)23(11-16)50-4/h5-12,24-25,27-32,35-44H,13-14H2,1-4H3/t24-,25-,27-,28-,29+,30+,31-,32-,35-,36-/m1/s1
SMILES COc1cc(ccc1O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](COC(=O)c2ccc(c(c2)OC)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](COC(=O)c3cc(c(c(c3)OC)O)OC)O2)O)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   794.23 Volume:   735.233
?
Van der Waals volume.
Dense:   1.08 LogP:   1.065
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.461
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.79
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   32.0
TPSA:   288.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.093 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.795 Fsp3:   0.444
MCE-18:   125.231
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.533 Fluc inhibitor:   0.23
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.298
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.616
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.118 Promiscuous compounds:   0.515

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.117 MDCK Permeability:   -5.49
Pgp-inhibitor:   0.27 Pgp-substrate:   0.003
PAMPA:   0.227
?
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):   0.206
20% Bioavailability (F20%):   0.554 30% Bioavailability (F30%):   0.986
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.024 MRP1:   0.01
Plasma Protein Binding (PPB):   84.371% Volume Distribution (VD):   -0.505
Fu: 16.358%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.745

ADMET: Metabolism

CYP1A2-inhibitor:   0.005 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.994
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.987
HLM stability:   0.746
?
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):  2.277 Half-life (T1/2):  5.738

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.317
Human Hepatotoxicity (H-HT):  0.083 Drug-induced Liver Injury (DILI):  0.979
AMES Toxicity:  0.913 Rat Oral Acute Toxicity:  0.002
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  0.993
Carcinogencity:  0.373 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.985
Hematotoxicity:  0.03 Drug-induced Nephrotoxicity:  0.73
Genotoxicity:  0.063 RPMI-8226 Immunitoxicity:  0.427
A549 Cytotoxicity:  0.495 Hek293 Cytotoxicity:  0.527
BCF:   0.318
?
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:   3.451
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.514
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.081
?
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
NPO21315 Adina polycephala Species Rubiaceae Eukaryota bark n.a. n.a. PMID[18303851]
NPO21315 Adina polycephala 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 25.2 % PMID[18303851]

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 NPC5786 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
0.7887 Intermediate Similarity NPC102851
0.7857 Intermediate Similarity NPC197708
0.7361 Intermediate Similarity NPC327032
0.7183 Intermediate Similarity NPC119125
0.7123 Intermediate Similarity NPC311803
0.7051 Intermediate Similarity NPC658
0.7042 Intermediate Similarity NPC25389
0.6 Remote Similarity NPC111785
0.5789 Remote Similarity NPC472859
0.5761 Remote Similarity NPC163165
0.5753 Remote Similarity NPC65833
0.5733 Remote Similarity NPC37074
0.5696 Remote Similarity NPC160780
0.5663 Remote Similarity NPC602634
0.5658 Remote Similarity NPC166277
0.5658 Remote Similarity NPC287780
0.5658 Remote Similarity NPC60982
0.5579 Remote Similarity NPC316539
0.5529 Remote Similarity NPC485743
0.5465 Remote Similarity NPC478797
0.5316 Remote Similarity NPC1913
0.5286 Remote Similarity NPC221090
0.5275 Remote Similarity NPC485745
0.5176 Remote Similarity NPC485234
0.5116 Remote Similarity NPC194095
0.5114 Remote Similarity NPC33298
0.5062 Remote Similarity NPC215811
0.506 Remote Similarity NPC36130
0.5057 Remote Similarity NPC471405

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC5786 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