Natural Product: NPC470717

Natural Product IDNPC470717
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Allivictoside F
IUPAC Name [(2S,3R,4S,5S,6R)-4,5-dihydroxy-2-[5-hydroxy-2-(4-hydroxyphenyl)-4-oxo-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxychromen-3-yl]oxy-6-(hydroxymethyl)oxan-3-yl] (E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoate
Synonyms Allivictoside F
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2206202
PubChem CID 71459648
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 SLIBKVWISCHMPI-FOPGHQQOSA-N
Standard InCHI InChI=1S/C37H38O19/c1-50-21-10-15(2-8-19(21)41)3-9-25(43)55-35-31(48)28(45)24(14-39)54-37(35)56-34-29(46)26-20(42)11-18(51-36-32(49)30(47)27(44)23(13-38)53-36)12-22(26)52-33(34)16-4-6-17(40)7-5-16/h2-12,23-24,27-28,30-32,35-42,44-45,47-49H,13-14H2,1H3/b9-3+/t23-,24-,27-,28-,30+,31+,32-,35-,36-,37+/m1/s1
SMILES OC[C@H]1O[C@@H](Oc2c(oc3c(c2=O)c(O)cc(c3)O[C@@H]2O[C@H](CO)[C@H]([C@@H]([C@H]2O)O)O)c2ccc(cc2)O)[C@@H]([C@H]([C@@H]1O)O)OC(=O)/C=C/c1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   786.2 Volume:   729.91
?
Van der Waals volume.
Dense:   1.077 LogP:   1.218
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.588
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.633
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   38.0
TPSA:   304.96
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   10.0 Rings:   6.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.066 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.051 Fsp3:   0.351
MCE-18:   139.4
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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:   0
Colloidal aggregators:   0.748 Fluc inhibitor:   0.547
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.901
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.667
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.205 Promiscuous compounds:   0.523

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.515 MDCK Permeability:   -5.153
Pgp-inhibitor:   0.0 Pgp-substrate:   0.166
PAMPA:   0.998
?
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):   0.934
20% Bioavailability (F20%):   0.594 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.004
Plasma Protein Binding (PPB):   80.508% Volume Distribution (VD):   -0.007
Fu: 17.229%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.629
BSEP inhibitor:   0.005

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:   0.165
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.01
?
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):  1.556 Half-life (T1/2):  4.977

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.035
Human Hepatotoxicity (H-HT):  0.841 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.974 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.012 Skin Sensitization:  1.0
Carcinogencity:  0.124 Eye Corrosion:  0.0
Eye Irritation:  0.005 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.987
Hematotoxicity:  0.114 Drug-induced Nephrotoxicity:  0.887
Genotoxicity:  0.981 RPMI-8226 Immunitoxicity:  0.181
A549 Cytotoxicity:  0.783 Hek293 Cytotoxicity:  0.812
BCF:   0.498
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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:   3.24
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.825
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.026
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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 = 100.0 % PubChem BioAssay data set
NPT34 Cell line BV-2 Mus musculus IC50 = 20420.0 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 NPC470717 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
0.9691 High Similarity NPC470720
0.9381 High Similarity NPC295625
0.9 High Similarity NPC470719
0.8969 High Similarity NPC164704
0.8586 High Similarity NPC470715
0.8173 Intermediate Similarity NPC470713
0.7653 Intermediate Similarity NPC64425
0.7358 Intermediate Similarity NPC470712
0.7064 Intermediate Similarity NPC470716
0.7064 Intermediate Similarity NPC470718
0.6667 Remote Similarity NPC297987
0.6667 Remote Similarity NPC35119
0.6667 Remote Similarity NPC25946
0.6509 Remote Similarity NPC32641
0.6509 Remote Similarity NPC256188
0.6337 Remote Similarity NPC116458
0.6337 Remote Similarity NPC246943
0.6321 Remote Similarity NPC240306
0.626 Remote Similarity NPC223860
0.6224 Remote Similarity NPC289667
0.6198 Remote Similarity NPC21359
0.6198 Remote Similarity NPC460984
0.6195 Remote Similarity NPC480796
0.6195 Remote Similarity NPC472993
0.6186 Remote Similarity NPC488078
0.614 Remote Similarity NPC25523
0.6116 Remote Similarity NPC199172
0.61 Remote Similarity NPC84362
0.605 Remote Similarity NPC488079
0.6 Remote Similarity NPC136042
0.5965 Remote Similarity NPC470416
0.5935 Remote Similarity NPC480470
0.5849 Remote Similarity NPC251417
0.5784 Remote Similarity NPC46420
0.5772 Remote Similarity NPC480472
0.5766 Remote Similarity NPC139060
0.5743 Remote Similarity NPC249281
0.5714 Remote Similarity NPC605784
0.5702 Remote Similarity NPC218161
0.5701 Remote Similarity NPC473682
0.568 Remote Similarity NPC35924
0.5631 Remote Similarity NPC24043
0.5619 Remote Similarity NPC224530
0.5593 Remote Similarity NPC480441
0.5524 Remote Similarity NPC611303
0.5517 Remote Similarity NPC14187
0.5514 Remote Similarity NPC170052
0.5514 Remote Similarity NPC276377
0.5514 Remote Similarity NPC135846
0.5487 Remote Similarity NPC210961
0.5481 Remote Similarity NPC488080
0.5481 Remote Similarity NPC169977
0.5472 Remote Similarity NPC22832
0.5446 Remote Similarity NPC472992
0.5439 Remote Similarity NPC205824
0.5439 Remote Similarity NPC221288
0.5439 Remote Similarity NPC142142
0.5439 Remote Similarity NPC270675
0.5439 Remote Similarity NPC194836
0.5439 Remote Similarity NPC195685
0.5439 Remote Similarity NPC91493
0.5439 Remote Similarity NPC605081
0.5437 Remote Similarity NPC39360
0.5437 Remote Similarity NPC77672
0.5437 Remote Similarity NPC133671
0.5437 Remote Similarity NPC135391
0.5437 Remote Similarity NPC29763
0.5437 Remote Similarity NPC78263
0.5437 Remote Similarity NPC210003
0.5437 Remote Similarity NPC250069
0.5431 Remote Similarity NPC483767
0.5431 Remote Similarity NPC483769
0.5431 Remote Similarity NPC483768
0.5431 Remote Similarity NPC483766
0.5429 Remote Similarity NPC472459
0.5421 Remote Similarity NPC311830
0.542 Remote Similarity NPC249560
0.5417 Remote Similarity NPC277532
0.541 Remote Similarity NPC474093
0.541 Remote Similarity NPC104910
0.5405 Remote Similarity NPC150164
0.5398 Remote Similarity NPC477628
0.5391 Remote Similarity NPC80068
0.5391 Remote Similarity NPC85751
0.5391 Remote Similarity NPC76831
0.5391 Remote Similarity NPC19240
0.5385 Remote Similarity NPC323593
0.5385 Remote Similarity NPC203500
0.5378 Remote Similarity NPC219043
0.537 Remote Similarity NPC203050
0.537 Remote Similarity NPC225434
0.536 Remote Similarity NPC138990
0.5351 Remote Similarity NPC104883
0.5351 Remote Similarity NPC488679
0.5345 Remote Similarity NPC36138
0.5339 Remote Similarity NPC121703
0.5333 Remote Similarity NPC217520
0.5327 Remote Similarity NPC120099
0.5327 Remote Similarity NPC486578
0.5323 Remote Similarity NPC162394
0.5304 Remote Similarity NPC472991
0.5254 Remote Similarity NPC214621
0.5254 Remote Similarity NPC34267
0.5254 Remote Similarity NPC483765
0.525 Remote Similarity NPC48984
0.5238 Remote Similarity NPC64305
0.5238 Remote Similarity NPC95090
0.5238 Remote Similarity NPC27408
0.5234 Remote Similarity NPC285197
0.5229 Remote Similarity NPC488072
0.5229 Remote Similarity NPC601586
0.5221 Remote Similarity NPC470444
0.5221 Remote Similarity NPC186816
0.5217 Remote Similarity NPC72016
0.5217 Remote Similarity NPC606657
0.5197 Remote Similarity NPC175429
0.5189 Remote Similarity NPC271692
0.5185 Remote Similarity NPC243930
0.5185 Remote Similarity NPC21666
0.5185 Remote Similarity NPC601144
0.5185 Remote Similarity NPC609478
0.5179 Remote Similarity NPC163242
0.5179 Remote Similarity NPC272068
0.5169 Remote Similarity NPC484301
0.5169 Remote Similarity NPC472994
0.5133 Remote Similarity NPC304741
0.5128 Remote Similarity NPC220173
0.5124 Remote Similarity NPC477895
0.5122 Remote Similarity NPC139571
0.5118 Remote Similarity NPC209550
0.5115 Remote Similarity NPC473554
0.5094 Remote Similarity NPC8573
0.5094 Remote Similarity NPC277205
0.5094 Remote Similarity NPC37919
0.5094 Remote Similarity NPC189142
0.5094 Remote Similarity NPC77660
0.5093 Remote Similarity NPC168584
0.5093 Remote Similarity NPC60735
0.5093 Remote Similarity NPC26230
0.5093 Remote Similarity NPC488071
0.5046 Remote Similarity NPC101026
0.5046 Remote Similarity NPC80188
0.5046 Remote Similarity NPC488077
0.5045 Remote Similarity NPC254855
0.5045 Remote Similarity NPC94610
0.5043 Remote Similarity NPC101399
0.5043 Remote Similarity NPC61904
0.5043 Remote Similarity NPC217822
0.5043 Remote Similarity NPC11847
0.5043 Remote Similarity NPC198938
0.5042 Remote Similarity NPC223426
0.5036 Remote Similarity NPC487501

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470717 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