Natural Product: NPC26195

Natural Product IDNPC26195
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Naringenin 4'-O-Beta-D-Glucopyranoside
IUPAC Name (2S)-5,7-dihydroxy-2-[4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]-2,3-dihydrochromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL453552
PubChem CID 157745
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid 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 KSDSYIXRWHRPMN-SFTVRKLSSA-N
Standard InCHI InChI=1S/C21H22O10/c22-8-16-18(26)19(27)20(28)21(31-16)29-11-3-1-9(2-4-11)14-7-13(25)17-12(24)5-10(23)6-15(17)30-14/h1-6,14,16,18-24,26-28H,7-8H2/t14-,16+,18+,19-,20+,21+/m0/s1
SMILES c1cc(ccc1[C@@H]1CC(=O)c2c(cc(cc2O1)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   434.12 Volume:   406.993
?
Van der Waals volume.
Dense:   1.067 LogP:   1.03
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.428
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.185
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   166.14
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   4.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.385 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.975 Fsp3:   0.381
MCE-18:   87.069
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.628 Fluc inhibitor:   0.572
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.126
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.423
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.226 Promiscuous compounds:   0.316

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.671 MDCK Permeability:   -5.031
Pgp-inhibitor:   0.134 Pgp-substrate:   0.144
PAMPA:   0.942
?
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):   0.322
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.139
Plasma Protein Binding (PPB):   92.92% Volume Distribution (VD):   -0.234
Fu: 6.76%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.971
BSEP inhibitor:   0.028

ADMET: Metabolism

CYP1A2-inhibitor:   0.154 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.162
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.802
HLM stability:   0.184
?
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):  3.047 Half-life (T1/2):  3.151

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.13
Human Hepatotoxicity (H-HT):  0.816 Drug-induced Liver Injury (DILI):  0.963
AMES Toxicity:  0.964 Rat Oral Acute Toxicity:  0.068
Maximum Recommended Daily Dose:  0.087 Skin Sensitization:  0.983
Carcinogencity:  0.462 Eye Corrosion:  0.0
Eye Irritation:  0.589 Respiratory Toxicity:  0.03
Drug-induced Neurotoxicity:  0.026 Ototoxicity:  0.901
Hematotoxicity:  0.233 Drug-induced Nephrotoxicity:  0.8
Genotoxicity:  0.983 RPMI-8226 Immunitoxicity:  0.166
A549 Cytotoxicity:  0.623 Hek293 Cytotoxicity:  0.634
BCF:   0.591
?
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:   3.279
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.924
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.992
?
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
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[11087602]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[12932124]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. stem n.a. PMID[12932124]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27239 Maclura tinctoria Species Moraceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 0.782 mM PMID[12932124]

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 NPC26195 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
0.7681 Intermediate Similarity NPC219163
0.7536 Intermediate Similarity NPC170475
0.7429 Intermediate Similarity NPC39351
0.7286 Intermediate Similarity NPC97052
0.6757 Remote Similarity NPC29830
0.6667 Remote Similarity NPC169248
0.6667 Remote Similarity NPC72649
0.6627 Remote Similarity NPC168789
0.6618 Remote Similarity NPC199335
0.6533 Remote Similarity NPC181014
0.6522 Remote Similarity NPC190217
0.6494 Remote Similarity NPC236934
0.6377 Remote Similarity NPC477240
0.625 Remote Similarity NPC274784
0.625 Remote Similarity NPC20709
0.6234 Remote Similarity NPC5778
0.6184 Remote Similarity NPC206378
0.6133 Remote Similarity NPC259182
0.6087 Remote Similarity NPC106025
0.6053 Remote Similarity NPC471457
0.5974 Remote Similarity NPC257963
0.5814 Remote Similarity NPC70441
0.5692 Remote Similarity NPC32441
0.5692 Remote Similarity NPC243083
0.5692 Remote Similarity NPC13768
0.5692 Remote Similarity NPC287246
0.5692 Remote Similarity NPC79943
0.5581 Remote Similarity NPC97285
0.5556 Remote Similarity NPC472383
0.5513 Remote Similarity NPC88484
0.5402 Remote Similarity NPC142860
0.5402 Remote Similarity NPC152538
0.5402 Remote Similarity NPC246469
0.5402 Remote Similarity NPC89088
0.5385 Remote Similarity NPC160156
0.5385 Remote Similarity NPC92565
0.5385 Remote Similarity NPC199079
0.5366 Remote Similarity NPC472381
0.5366 Remote Similarity NPC477502
0.5349 Remote Similarity NPC105283
0.5316 Remote Similarity NPC45400
0.5303 Remote Similarity NPC182421
0.5301 Remote Similarity NPC479540
0.5287 Remote Similarity NPC271270
0.5286 Remote Similarity NPC302950
0.5263 Remote Similarity NPC121001
0.5217 Remote Similarity NPC321011
0.5217 Remote Similarity NPC294852
0.5217 Remote Similarity NPC214454
0.5217 Remote Similarity NPC188679
0.5211 Remote Similarity NPC23084
0.5195 Remote Similarity NPC475790
0.5185 Remote Similarity NPC106625
0.5155 Remote Similarity NPC321916
0.5152 Remote Similarity NPC294470
0.5139 Remote Similarity NPC26080
0.5139 Remote Similarity NPC165686
0.5139 Remote Similarity NPC236637
0.5135 Remote Similarity NPC477841
0.5132 Remote Similarity NPC174953
0.5132 Remote Similarity NPC479374
0.5128 Remote Similarity NPC259767
0.5125 Remote Similarity NPC163191
0.5125 Remote Similarity NPC603902
0.5077 Remote Similarity NPC212729
0.5077 Remote Similarity NPC142319
0.5077 Remote Similarity NPC604498
0.5072 Remote Similarity NPC338131
0.506 Remote Similarity NPC300537
0.5055 Remote Similarity NPC105095
0.5055 Remote Similarity NPC177731
0.5055 Remote Similarity NPC725

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC26195 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
0.5692 Remote Similarity NPD1550 Phase 2
0.5692 Remote Similarity NPD1552 Clinical (unspecified phase)
0.5286 Remote Similarity NPD1934 Phase 0

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