Natural Product: NPC295625

Natural Product IDNPC295625
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-O-Beta-D-(2-O-Feruloyl)Glycosyl-7,4'-Di-O-Beta-D-Glucosyl Kaempferol
IUPAC Name [(2S,3R,4S,5S,6R)-4,5-dihydroxy-6-(hydroxymethyl)-2-[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-3-yl] (E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2206207
PubChem CID 21626414
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 XDQCEAKLWIPMLQ-NGCLWCRHSA-N
Standard InCHI InChI=1S/C43H48O24/c1-59-22-10-16(2-8-20(22)47)3-9-27(49)66-40-35(56)31(52)26(15-46)65-43(40)67-39-32(53)28-21(48)11-19(61-42-37(58)34(55)30(51)25(14-45)64-42)12-23(28)62-38(39)17-4-6-18(7-5-17)60-41-36(57)33(54)29(50)24(13-44)63-41/h2-12,24-26,29-31,33-37,40-48,50-52,54-58H,13-15H2,1H3/b9-3+/t24-,25-,26-,29-,30-,31-,33+,34+,35+,36-,37-,40-,41-,42-,43+/m1/s1
SMILES COc1cc(ccc1O)/C=C/C(=O)O[C@@H]1[C@H]([C@@H]([C@@H](CO)O[C@H]1Oc1c(=O)c2c(cc(cc2oc1c1ccc(cc1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   948.25 Volume:   869.08
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Van der Waals volume.
Dense:   1.091 LogP:   0.857
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.272
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.292
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   44.0
TPSA:   384.11
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Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   13.0 Rings:   7.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.043 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.697 Fsp3:   0.442
MCE-18:   170.71
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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:   0.699 Fluc inhibitor:   0.537
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.769
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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:   0.301 Promiscuous compounds:   0.484

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.878 MDCK Permeability:   -4.953
Pgp-inhibitor:   0.0 Pgp-substrate:   0.157
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):   0.999
20% Bioavailability (F20%):   0.208 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   75.787% Volume Distribution (VD):   -0.175
Fu: 21.852%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.092
BSEP inhibitor:   0.0

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:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.862
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):  0.689 Half-life (T1/2):  6.378

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.938 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.997 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.038 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.29 Drug-induced Nephrotoxicity:  0.992
Genotoxicity:  0.964 RPMI-8226 Immunitoxicity:  0.319
A549 Cytotoxicity:  0.858 Hek293 Cytotoxicity:  0.527
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:   3.257
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.13
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.115
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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 = 100.7 % PubChem BioAssay data set
NPT34 Cell line BV-2 Mus musculus IC50 = 43350.0 nM PMID[16448174]

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 NPC295625 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
0.9381 High Similarity NPC470717
0.9184 High Similarity NPC470719
0.9091 High Similarity NPC470720
0.8763 High Similarity NPC470715
0.8515 High Similarity NPC470713
0.8384 Intermediate Similarity NPC164704
0.75 Intermediate Similarity NPC470712
0.7196 Intermediate Similarity NPC470716
0.71 Intermediate Similarity NPC64425
0.6881 Remote Similarity NPC470718
0.6702 Remote Similarity NPC289667
0.6293 Remote Similarity NPC488078
0.623 Remote Similarity NPC223860
0.6218 Remote Similarity NPC25946
0.6168 Remote Similarity NPC35119
0.6154 Remote Similarity NPC488079
0.6122 Remote Similarity NPC297987
0.6061 Remote Similarity NPC84362
0.6033 Remote Similarity NPC21359
0.6033 Remote Similarity NPC460984
0.6019 Remote Similarity NPC32641
0.6019 Remote Similarity NPC256188
0.5962 Remote Similarity NPC251417
0.596 Remote Similarity NPC136042
0.5902 Remote Similarity NPC480470
0.5833 Remote Similarity NPC240306
0.5825 Remote Similarity NPC116458
0.5825 Remote Similarity NPC246943
0.5739 Remote Similarity NPC480796
0.5739 Remote Similarity NPC472993
0.5738 Remote Similarity NPC480472
0.5691 Remote Similarity NPC199172
0.569 Remote Similarity NPC25523
0.5673 Remote Similarity NPC605784
0.5645 Remote Similarity NPC35924
0.5641 Remote Similarity NPC277532
0.5631 Remote Similarity NPC611303
0.5625 Remote Similarity NPC76831
0.5577 Remote Similarity NPC22832
0.5556 Remote Similarity NPC480441
0.5534 Remote Similarity NPC472459
0.5517 Remote Similarity NPC470416
0.5495 Remote Similarity NPC477628
0.549 Remote Similarity NPC64305
0.549 Remote Similarity NPC95090
0.549 Remote Similarity NPC27408
0.5478 Remote Similarity NPC14187
0.5429 Remote Similarity NPC21666
0.5429 Remote Similarity NPC486578
0.5391 Remote Similarity NPC483767
0.5391 Remote Similarity NPC483769
0.5391 Remote Similarity NPC483768
0.5391 Remote Similarity NPC483766
0.5377 Remote Similarity NPC311830
0.537 Remote Similarity NPC473682
0.5333 Remote Similarity NPC285197
0.5327 Remote Similarity NPC488072
0.531 Remote Similarity NPC139060
0.531 Remote Similarity NPC606657
0.5288 Remote Similarity NPC46420
0.5288 Remote Similarity NPC24043
0.5283 Remote Similarity NPC243930
0.5283 Remote Similarity NPC120099
0.5283 Remote Similarity NPC80188
0.5259 Remote Similarity NPC218161
0.5243 Remote Similarity NPC249281
0.521 Remote Similarity NPC219043
0.521 Remote Similarity NPC48984
0.5189 Remote Similarity NPC488071
0.5185 Remote Similarity NPC203050
0.5185 Remote Similarity NPC225434
0.5185 Remote Similarity NPC601586
0.5152 Remote Similarity NPC249560
0.5143 Remote Similarity NPC271692
0.514 Remote Similarity NPC148710
0.514 Remote Similarity NPC224530
0.514 Remote Similarity NPC601144
0.514 Remote Similarity NPC609478
0.5128 Remote Similarity NPC484301
0.5085 Remote Similarity NPC483765
0.5079 Remote Similarity NPC138990
0.5048 Remote Similarity NPC277205
0.5048 Remote Similarity NPC37919
0.5048 Remote Similarity NPC189142
0.5048 Remote Similarity NPC77660
0.5047 Remote Similarity NPC60735
0.5047 Remote Similarity NPC26230
0.5046 Remote Similarity NPC170052
0.5046 Remote Similarity NPC276377
0.5046 Remote Similarity NPC135846
0.5043 Remote Similarity NPC210961
0.5041 Remote Similarity NPC217520
0.504 Remote Similarity NPC162394

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC295625 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