Natural Product: NPC192763

Natural Product IDNPC192763
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Quiquesetinerviuside C
IUPAC Name [(2R,3R,4S,5S)-5-[(2R,3R,4S,5S,6R)-3-acetyloxy-4-hydroxy-5-[(E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoyl]oxy-6-(hydroxymethyl)oxan-2-yl]oxy-3-hydroxy-4-[(E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoyl]oxy-5-(hydroxymethyl)oxolan-2-yl]methyl (E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoate
Synonyms quiquesetinerviuside C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1224879
PubChem CID 49866358
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002966] Tetracarboxylic acids and derivatives

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 HULSANORWWCGEU-QMRYJMHISA-N
Standard InCHI InChI=1S/C44H48O21/c1-23(47)60-41-39(55)40(62-36(52)15-9-25-6-12-28(49)31(18-25)57-3)33(20-45)61-43(41)65-44(22-46)42(63-37(53)16-10-26-7-13-29(50)32(19-26)58-4)38(54)34(64-44)21-59-35(51)14-8-24-5-11-27(48)30(17-24)56-2/h5-19,33-34,38-43,45-46,48-50,54-55H,20-22H2,1-4H3/b14-8+,15-9+,16-10+/t33-,34-,38-,39+,40-,41-,42+,43-,44+/m1/s1
SMILES CC(=O)O[C@@H]1[C@H]([C@@H]([C@@H](CO)O[C@@H]1O[C@@]1(CO)[C@H]([C@@H]([C@@H](COC(=O)/C=C/c2ccc(c(c2)OC)O)O1)O)OC(=O)/C=C/c1ccc(c(c1)OC)O)OC(=O)/C=C/c1ccc(c(c1)OC)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   912.27 Volume:   869.209
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Van der Waals volume.
Dense:   1.05 LogP:   1.546
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.863
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.293
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The logarithm of aqueous solubility value.
Rotatable Bonds:   22.0 Rigid Bonds:   36.0
TPSA:   302.19
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Topological Polar Surface Area.
H-Bond Acceptor:   21.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   21.0

MedChem Properties

QED Drug-Likeness Score:   0.053 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.383 Fsp3:   0.364
MCE-18:   128.7
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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:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.981 Fluc inhibitor:   1.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.177
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.663
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.216 Promiscuous compounds:   0.282

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.097 MDCK Permeability:   -5.508
Pgp-inhibitor:   0.426 Pgp-substrate:   0.008
PAMPA:   0.69
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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):   0.898
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.003
Plasma Protein Binding (PPB):   68.457% Volume Distribution (VD):   -0.388
Fu: 27.719%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.219
BSEP inhibitor:   0.991

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.037
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.832
?
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):  1.907 Half-life (T1/2):  2.832

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.371
Human Hepatotoxicity (H-HT):  0.5 Drug-induced Liver Injury (DILI):  0.891
AMES Toxicity:  0.93 Rat Oral Acute Toxicity:  0.092
Maximum Recommended Daily Dose:  0.446 Skin Sensitization:  1.0
Carcinogencity:  0.04 Eye Corrosion:  0.0
Eye Irritation:  0.025 Respiratory Toxicity:  0.024
Drug-induced Neurotoxicity:  0.12 Ototoxicity:  0.808
Hematotoxicity:  0.121 Drug-induced Nephrotoxicity:  0.882
Genotoxicity:  0.417 RPMI-8226 Immunitoxicity:  0.394
A549 Cytotoxicity:  0.928 Hek293 Cytotoxicity:  0.768
BCF:   0.479
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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:   3.333
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.989
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.323
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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
NPO32697 calamus quiquesetinervius Species n.a. n.a. n.a. n.a. n.a. PMID[20056545]
NPO32697 calamus quiquesetinervius Species n.a. n.a. n.a. n.a. n.a. PMID[20825224]
NPO32697 calamus quiquesetinervius Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]

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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 42100.0 nM DOI[10.6019/CHEMBL1201861]
NPT113 Cell line RAW264.7 Mus musculus Activity > 90.0 % PMID[23398362]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 3600.0 nM PMID[20825224]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 184300.0 nM PMID[20825224]
NPT1 Others Radical scavenging activity n.a. IC50 = 69100.0 nM PMID[19506058]

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 NPC192763 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
0.9494 High Similarity NPC210611
0.8395 Intermediate Similarity NPC216819
0.7738 Intermediate Similarity NPC80732
0.7273 Intermediate Similarity NPC199311
0.7093 Intermediate Similarity NPC262182
0.7079 Intermediate Similarity NPC287615
0.6957 Remote Similarity NPC261122
0.6667 Remote Similarity NPC300262
0.663 Remote Similarity NPC85192
0.6559 Remote Similarity NPC215095
0.6444 Remote Similarity NPC83743
0.5889 Remote Similarity NPC472612
0.5816 Remote Similarity NPC201148
0.5773 Remote Similarity NPC3460
0.567 Remote Similarity NPC125823
0.567 Remote Similarity NPC7145
0.567 Remote Similarity NPC143480
0.5556 Remote Similarity NPC472611
0.5556 Remote Similarity NPC225307
0.5495 Remote Similarity NPC156692
0.5484 Remote Similarity NPC226005
0.5426 Remote Similarity NPC90896
0.5152 Remote Similarity NPC283839
0.5106 Remote Similarity NPC484687
0.5104 Remote Similarity NPC44730
0.505 Remote Similarity NPC173343

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC192763 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