Natural Product: NPC476384

Natural Product IDNPC476384
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Kankanoside I
IUPAC Name [(2R,3R,4R,5R,6R)-6-[2-(3,4-dihydroxyphenyl)ethoxy]-5-hydroxy-2-[[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxymethyl]-4-[[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]methoxy]oxan-3-yl] (E)-3-(3,4-dihydroxyphenyl)prop-2-enoate
Synonyms Kankanoside I
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL590458
PubChem CID 46228748
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0000059] Coumaric 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 CZWLUSDMEFNFRT-HQVYTBQRSA-N
Standard InCHI InChI=1S/C36H48O20/c1-15-26(43)29(46)28(45)23(53-15)13-51-34-32(49)36(50-9-8-17-3-6-19(39)21(41)11-17)55-24(14-52-35-31(48)30(47)27(44)22(12-37)54-35)33(34)56-25(42)7-4-16-2-5-18(38)20(40)10-16/h2-7,10-11,15,22-24,26-41,43-49H,8-9,12-14H2,1H3/b7-4+/t15-,22+,23-,24+,26-,27+,28-,29+,30-,31+,32+,33+,34+,35+,36+/m0/s1
SMILES CC1C(C(C(C(O1)COC2C(C(OC(C2OC(=O)C=CC3=CC(=C(C=C3)O)O)COC4C(C(C(C(O4)CO)O)O)O)OCCC5=CC(=C(C=C5)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   800.27 Volume:   743.142
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Van der Waals volume.
Dense:   1.077 LogP:   -1.074
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.191
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.441
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   32.0
TPSA:   324.44
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Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   12.0 Rings:   5.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.051 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.441 Fsp3:   0.583
MCE-18:   130.474
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.33 Fluc inhibitor:   0.587
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.171
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.737
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.424 Promiscuous compounds:   0.624

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.421 MDCK Permeability:   -5.17
Pgp-inhibitor:   0.0 Pgp-substrate:   0.977
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):   1.0
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.967
Plasma Protein Binding (PPB):   53.424% Volume Distribution (VD):   -0.413
Fu: 41.482%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.774 BCRP inhibitor:   0.049
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.539 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.012
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.94
HLM stability:   0.069
?
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):  2.002 Half-life (T1/2):  3.9

ADMET: Toxicity

hERG Blockers:  0.059 hERG Blockers (10um):  0.797
Human Hepatotoxicity (H-HT):  0.272 Drug-induced Liver Injury (DILI):  0.375
AMES Toxicity:  0.893 Rat Oral Acute Toxicity:  0.129
Maximum Recommended Daily Dose:  0.259 Skin Sensitization:  0.994
Carcinogencity:  0.009 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.027 Ototoxicity:  0.999
Hematotoxicity:  0.002 Drug-induced Nephrotoxicity:  0.011
Genotoxicity:  0.177 RPMI-8226 Immunitoxicity:  0.021
A549 Cytotoxicity:  0.765 Hek293 Cytotoxicity:  0.851
BCF:   0.543
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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:   3.008
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.06
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.034
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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
NPO6964 Cistanche tubulosa Species Orobanchaceae Eukaryota fresh stems n.a. n.a. PMID[20159656]
NPO6964 Cistanche tubulosa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6964 Cistanche tubulosa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6964 Cistanche tubulosa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6964 Cistanche tubulosa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6964 Cistanche tubulosa Species Orobanchaceae 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
NPT993 Cell line Hepatocyte Mus musculus Inhibition = 3.9 % PMID[22168134]
NPT993 Cell line Hepatocyte Mus musculus Inhibition = 13.6 % DOI[10.6019/CHEMBL1201861]
NPT993 Cell line Hepatocyte Mus musculus Inhibition = 25.9 % PMID[9644083]
NPT993 Cell line Hepatocyte Mus musculus Inhibition = 27.7 % PMID[12828469]

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 NPC476384 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
0.9318 High Similarity NPC476380
0.9318 High Similarity NPC476381
0.8632 High Similarity NPC476386
0.8261 Intermediate Similarity NPC476375
0.8202 Intermediate Similarity NPC298257
0.8202 Intermediate Similarity NPC175214
0.7708 Intermediate Similarity NPC476378
0.764 Intermediate Similarity NPC76406
0.7473 Intermediate Similarity NPC476376
0.72 Intermediate Similarity NPC64195
0.7053 Intermediate Similarity NPC205864
0.7053 Intermediate Similarity NPC247032
0.6989 Remote Similarity NPC611289
0.6939 Remote Similarity NPC300894
0.6939 Remote Similarity NPC23845
0.6703 Remote Similarity NPC81515
0.6667 Remote Similarity NPC472350
0.6667 Remote Similarity NPC197316
0.6667 Remote Similarity NPC89105
0.6633 Remote Similarity NPC119537
0.6632 Remote Similarity NPC476377
0.6602 Remote Similarity NPC470933
0.6311 Remote Similarity NPC106818
0.6306 Remote Similarity NPC257970
0.6263 Remote Similarity NPC269141
0.6224 Remote Similarity NPC47471
0.6214 Remote Similarity NPC476382
0.6211 Remote Similarity NPC205195
0.6204 Remote Similarity NPC229505
0.6162 Remote Similarity NPC476385
0.6122 Remote Similarity NPC476383
0.6117 Remote Similarity NPC259347
0.6075 Remote Similarity NPC87403
0.604 Remote Similarity NPC252292
0.6 Remote Similarity NPC260425
0.5889 Remote Similarity NPC287597
0.5877 Remote Similarity NPC470927
0.5876 Remote Similarity NPC64141
0.5865 Remote Similarity NPC96795
0.5865 Remote Similarity NPC264632
0.5825 Remote Similarity NPC112
0.5816 Remote Similarity NPC483705
0.5769 Remote Similarity NPC100998
0.5714 Remote Similarity NPC886
0.5714 Remote Similarity NPC483706
0.5612 Remote Similarity NPC46137
0.56 Remote Similarity NPC68092
0.5505 Remote Similarity NPC196063
0.5505 Remote Similarity NPC604195
0.5495 Remote Similarity NPC470934
0.5435 Remote Similarity NPC477294
0.5426 Remote Similarity NPC34293
0.5377 Remote Similarity NPC296954
0.5327 Remote Similarity NPC34927
0.5288 Remote Similarity NPC263829
0.5278 Remote Similarity NPC610636
0.5238 Remote Similarity NPC266045
0.5234 Remote Similarity NPC476397
0.5189 Remote Similarity NPC34587
0.5175 Remote Similarity NPC306890
0.513 Remote Similarity NPC94871
0.5106 Remote Similarity NPC477293
0.5045 Remote Similarity NPC141455

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476384 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
0.6667 Remote Similarity NPD7266 Phase 2

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