Natural Product: NPC470716

Natural Product IDNPC470716
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Allivictoside E
IUPAC Name [(2R,3R,4S,5R,6S)-3,5-dihydroxy-2-(hydroxymethyl)-6-[5-hydroxy-4-oxo-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-2-[4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]chromen-3-yl]oxyoxan-4-yl] (E)-3-(4-hydroxyphenyl)prop-2-enoate
Synonyms Allivictoside E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2206201
PubChem CID 71463099
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-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 AZARVOKJABCVQG-BQYMUXTISA-N
Standard InCHI InChI=1S/C42H46O23/c43-13-23-28(49)32(53)34(55)40(61-23)58-19-8-4-17(5-9-19)37-39(31(52)27-21(47)11-20(12-22(27)60-37)59-41-35(56)33(54)29(50)24(14-44)62-41)65-42-36(57)38(30(51)25(15-45)63-42)64-26(48)10-3-16-1-6-18(46)7-2-16/h1-12,23-25,28-30,32-36,38,40-47,49-51,53-57H,13-15H2/b10-3+/t23-,24-,25-,28-,29-,30-,32+,33+,34-,35-,36-,38+,40-,41-,42+/m1/s1
SMILES C1=CC(=CC=C1C=CC(=O)OC2C(C(OC(C2O)OC3=C(OC4=CC(=CC(=C4C3=O)O)OC5C(C(C(C(O5)CO)O)O)O)C6=CC=C(C=C6)OC7C(C(C(C(O7)CO)O)O)O)CO)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   918.24 Volume:   842.994
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Van der Waals volume.
Dense:   1.089 LogP:   -0.713
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.237
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.412
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The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   44.0
TPSA:   374.88
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Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   13.0 Rings:   7.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.046 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.638 Fsp3:   0.429
MCE-18:   168.0
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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:   0.352 Fluc inhibitor:   0.355
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.718
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.672
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.594 Promiscuous compounds:   0.489

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.872 MDCK Permeability:   -4.75
Pgp-inhibitor:   0.0 Pgp-substrate:   0.965
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%):   0.975 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.914
Plasma Protein Binding (PPB):   77.371% Volume Distribution (VD):   -0.107
Fu: 23.387%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.951 BCRP inhibitor:   0.146
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.331 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.891
HLM stability:   0.0
?
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):  0.869 Half-life (T1/2):  4.675

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.238
Human Hepatotoxicity (H-HT):  0.577 Drug-induced Liver Injury (DILI):  0.876
AMES Toxicity:  0.776 Rat Oral Acute Toxicity:  0.104
Maximum Recommended Daily Dose:  0.163 Skin Sensitization:  0.255
Carcinogencity:  0.03 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.039 Ototoxicity:  1.0
Hematotoxicity:  0.003 Drug-induced Nephrotoxicity:  0.069
Genotoxicity:  0.271 RPMI-8226 Immunitoxicity:  0.096
A549 Cytotoxicity:  0.106 Hek293 Cytotoxicity:  0.97
BCF:   0.467
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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:   3.157
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.331
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.024
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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
NPO3860.1 Allium victorialis Under-species n.a. n.a. Leaves Taeback, GangWon province, Korea 2011-Jan PMID[23149227]

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
NPT34 Cell line BV-2 Mus musculus Activity = 103.8 % PMID[17140705]
NPT34 Cell line BV-2 Mus musculus IC50 = 49480.0 nM PMID[1375626]

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 NPC470716 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
0.8182 Intermediate Similarity NPC470715
0.7822 Intermediate Similarity NPC164704
0.72 Intermediate Similarity NPC205824
0.7196 Intermediate Similarity NPC295625
0.7156 Intermediate Similarity NPC470720
0.71 Intermediate Similarity NPC210961
0.7064 Intermediate Similarity NPC470717
0.7033 Intermediate Similarity NPC289667
0.6981 Remote Similarity NPC470712
0.6774 Remote Similarity NPC297987
0.6607 Remote Similarity NPC470719
0.6429 Remote Similarity NPC116458
0.6429 Remote Similarity NPC246943
0.6408 Remote Similarity NPC64425
0.625 Remote Similarity NPC136042
0.625 Remote Similarity NPC470718
0.6228 Remote Similarity NPC470713
0.6198 Remote Similarity NPC223860
0.6078 Remote Similarity NPC251417
0.6 Remote Similarity NPC96605
0.6 Remote Similarity NPC280642
0.5981 Remote Similarity NPC606657
0.5941 Remote Similarity NPC605784
0.5918 Remote Similarity NPC64305
0.5859 Remote Similarity NPC84362
0.5833 Remote Similarity NPC104883
0.5833 Remote Similarity NPC488679
0.5816 Remote Similarity NPC249281
0.5798 Remote Similarity NPC241781
0.5727 Remote Similarity NPC85751
0.5727 Remote Similarity NPC19240
0.5702 Remote Similarity NPC473278
0.5688 Remote Similarity NPC35119
0.5644 Remote Similarity NPC472459
0.5636 Remote Similarity NPC270675
0.5636 Remote Similarity NPC195685
0.5603 Remote Similarity NPC277532
0.5593 Remote Similarity NPC474093
0.5593 Remote Similarity NPC104910
0.5586 Remote Similarity NPC80068
0.5577 Remote Similarity NPC276377
0.5545 Remote Similarity NPC46420
0.5545 Remote Similarity NPC24043
0.5545 Remote Similarity NPC32641
0.5545 Remote Similarity NPC256188
0.5517 Remote Similarity NPC25523
0.55 Remote Similarity NPC39360
0.55 Remote Similarity NPC77672
0.55 Remote Similarity NPC133671
0.55 Remote Similarity NPC135391
0.55 Remote Similarity NPC29763
0.55 Remote Similarity NPC78263
0.55 Remote Similarity NPC210003
0.55 Remote Similarity NPC250069
0.5487 Remote Similarity NPC223426
0.5481 Remote Similarity NPC220169
0.5463 Remote Similarity NPC150164
0.5455 Remote Similarity NPC488078
0.5446 Remote Similarity NPC95090
0.5446 Remote Similarity NPC27408
0.5437 Remote Similarity NPC611303
0.5431 Remote Similarity NPC477895
0.5398 Remote Similarity NPC36138
0.5385 Remote Similarity NPC22832
0.5372 Remote Similarity NPC471030
0.5351 Remote Similarity NPC483767
0.5351 Remote Similarity NPC483769
0.5351 Remote Similarity NPC484301
0.5351 Remote Similarity NPC472994
0.5351 Remote Similarity NPC483768
0.5351 Remote Similarity NPC483766
0.5349 Remote Similarity NPC249560
0.5328 Remote Similarity NPC488079
0.5304 Remote Similarity NPC214621
0.5304 Remote Similarity NPC34267
0.5304 Remote Similarity NPC14187
0.5294 Remote Similarity NPC323593
0.5294 Remote Similarity NPC203500
0.5294 Remote Similarity NPC189142
0.5294 Remote Similarity NPC77660
0.5288 Remote Similarity NPC60735
0.5288 Remote Similarity NPC26230
0.5288 Remote Similarity NPC285197
0.5273 Remote Similarity NPC186816
0.5268 Remote Similarity NPC139060
0.5268 Remote Similarity NPC72016
0.5254 Remote Similarity NPC217520
0.5243 Remote Similarity NPC488080
0.5243 Remote Similarity NPC169977
0.5238 Remote Similarity NPC243930
0.5238 Remote Similarity NPC120099
0.5221 Remote Similarity NPC101399
0.5221 Remote Similarity NPC221288
0.5221 Remote Similarity NPC217822
0.5221 Remote Similarity NPC11847
0.5221 Remote Similarity NPC198938
0.5221 Remote Similarity NPC194836
0.5221 Remote Similarity NPC91493
0.5221 Remote Similarity NPC605081
0.5196 Remote Similarity NPC261866
0.5188 Remote Similarity NPC475179
0.5179 Remote Similarity NPC476619
0.5179 Remote Similarity NPC477628
0.5175 Remote Similarity NPC188815
0.5169 Remote Similarity NPC472993
0.5146 Remote Similarity NPC145038
0.5146 Remote Similarity NPC8573
0.5146 Remote Similarity NPC56077
0.5146 Remote Similarity NPC197896
0.5146 Remote Similarity NPC281131
0.5146 Remote Similarity NPC313163
0.5146 Remote Similarity NPC253662
0.5146 Remote Similarity NPC179950
0.5146 Remote Similarity NPC277205
0.5146 Remote Similarity NPC37919
0.5146 Remote Similarity NPC88789
0.5146 Remote Similarity NPC491374
0.5143 Remote Similarity NPC488071
0.5128 Remote Similarity NPC121703
0.5126 Remote Similarity NPC480441
0.5122 Remote Similarity NPC156785
0.5096 Remote Similarity NPC271692
0.5094 Remote Similarity NPC21666
0.5094 Remote Similarity NPC486578
0.5094 Remote Similarity NPC601144
0.5089 Remote Similarity NPC470125
0.5089 Remote Similarity NPC240306
0.5088 Remote Similarity NPC5319
0.5086 Remote Similarity NPC218161
0.5047 Remote Similarity NPC311830
0.5043 Remote Similarity NPC76831
0.5043 Remote Similarity NPC81042
0.5043 Remote Similarity NPC477629
0.5042 Remote Similarity NPC480796
0.504 Remote Similarity NPC138990
0.5036 Remote Similarity NPC33083

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470716 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
0.5088 Remote Similarity NPD7804 Clinical (unspecified phase)

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