Natural Product: NPC326506

Natural Product IDNPC326506
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3,5,7-Trihydroxy-2-(4-Hydroxyphenyl)Chroman-4-One
IUPAC Name 3,5,7-trihydroxy-2-(4-hydroxyphenyl)-2,3-dihydrochromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL398847
PubChem CID 662
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0001632] Flavanones
            • [CHEMONTID:0001362] Flavanonols

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 PADQINQHPQKXNL-UHFFFAOYSA-N
Standard InCHI InChI=1S/C15H12O6/c16-8-3-1-7(2-4-8)15-14(20)13(19)12-10(18)5-9(17)6-11(12)21-15/h1-6,14-18,20H
SMILES C1=CC(=CC=C1C2C(C(=O)C3=C(C=C(C=C3O2)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   288.06 Volume:   276.613
?
Van der Waals volume.
Dense:   1.041 LogP:   1.052
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.427
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.233
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   18.0
TPSA:   107.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.633 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.206 Fsp3:   0.133
MCE-18:   58.235
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.478 Fluc inhibitor:   0.426
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.264
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.259
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.607 Promiscuous compounds:   0.518

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.609 MDCK Permeability:   -4.82
Pgp-inhibitor:   0.059 Pgp-substrate:   0.661
PAMPA:   0.814
?
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):   0.006
20% Bioavailability (F20%):   0.102 30% Bioavailability (F30%):   0.91
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.739
Plasma Protein Binding (PPB):   96.033% Volume Distribution (VD):   -0.246
Fu: 5.351%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.943
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.876
BSEP inhibitor:   0.408

ADMET: Metabolism

CYP1A2-inhibitor:   0.388 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.012
CYP2C9-inhibitor:   0.299 CYP2C9-substrate:   0.013
CYP2D6-inhibitor:   0.895 CYP2D6-substrate:   0.928
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.081
HLM stability:   0.562
?
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):  8.716 Half-life (T1/2):  1.476

ADMET: Toxicity

hERG Blockers:  0.099 hERG Blockers (10um):  0.642
Human Hepatotoxicity (H-HT):  0.562 Drug-induced Liver Injury (DILI):  0.211
AMES Toxicity:  0.572 Rat Oral Acute Toxicity:  0.495
Maximum Recommended Daily Dose:  0.645 Skin Sensitization:  0.553
Carcinogencity:  0.554 Eye Corrosion:  0.006
Eye Irritation:  0.965 Respiratory Toxicity:  0.567
Drug-induced Neurotoxicity:  0.269 Ototoxicity:  0.454
Hematotoxicity:  0.063 Drug-induced Nephrotoxicity:  0.216
Genotoxicity:  0.916 RPMI-8226 Immunitoxicity:  0.071
A549 Cytotoxicity:  0.279 Hek293 Cytotoxicity:  0.847
BCF:   1.239
?
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:   3.513
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.349
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.899
?
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
NPO4446 Prunus davidiana Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[2045817]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. PMID[20815207]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. bark n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[21319773]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. leaf n.a. PMID[21793559]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. twig n.a. PMID[21793559]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[22207282]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[23806866]
NPO4446 Prunus davidiana Species Rosaceae Eukaryota seeds n.a. n.a. PMID[23985009]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. Konya, Turkey 2007-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota root bark University of Veterinary and Pharmaceutical Sciences Brno (UVPS Brno), Brno, Czech Republic 2011-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota leaves Chungbuk, Korea n.a. PMID[25935644]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[25981820]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. latex n.a. PMID[27294120]
NPO28265 Morus alba Species Moraceae Eukaryota Root barks n.a. n.a. PMID[3097265]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. kernel n.a. PMID[7092570]
NPO30692 Prunus amygdalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. Database[FooDB]
NPO14992 Prunus persica Species Rosaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO14992 Prunus persica Species Rosaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO14992 Prunus persica Species Rosaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO14992 Prunus persica Species Rosaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO30692 Prunus amygdalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4446 Prunus davidiana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4446 Prunus davidiana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4446 Prunus davidiana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30692 Prunus amygdalus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4446 Prunus davidiana Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28430 Biota orientalis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO14992 Prunus persica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9729 Hovenia dulcis Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28265 Morus alba 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
NPT1651 Individual protein Nuclear factor erythroid 2-related factor 2 Mus musculus FC = 1.49 n.a. PMID[30227999]
NPT6151 Individual protein Prostaglandin E synthase Mus musculus Inhibition = 93.1 % DOI[10.1039/C5MD00278H]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

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 NPC326506 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
1.0 High Similarity NPC62290
1.0 High Similarity NPC142731
0.8261 Intermediate Similarity NPC4152
0.8125 Intermediate Similarity NPC36835
0.8125 Intermediate Similarity NPC246162
0.8125 Intermediate Similarity NPC9743
0.8125 Intermediate Similarity NPC260491
0.8125 Intermediate Similarity NPC61506
0.8125 Intermediate Similarity NPC240476
0.7917 Intermediate Similarity NPC44721
0.7917 Intermediate Similarity NPC211466
0.7917 Intermediate Similarity NPC605332
0.7872 Intermediate Similarity NPC279417
0.7872 Intermediate Similarity NPC49130
0.766 Intermediate Similarity NPC21835
0.75 Intermediate Similarity NPC326037
0.75 Intermediate Similarity NPC13858
0.7347 Intermediate Similarity NPC19721
0.7234 Intermediate Similarity NPC1940
0.72 Intermediate Similarity NPC176869
0.72 Intermediate Similarity NPC306607
0.72 Intermediate Similarity NPC3779
0.7143 Intermediate Similarity NPC208176
0.7115 Intermediate Similarity NPC320825
0.7059 Intermediate Similarity NPC250922
0.7 Intermediate Similarity NPC201837
0.6863 Remote Similarity NPC606962
0.6667 Remote Similarity NPC63438
0.6545 Remote Similarity NPC20907
0.6275 Remote Similarity NPC148011
0.6182 Remote Similarity NPC244250
0.6078 Remote Similarity NPC207179
0.6078 Remote Similarity NPC167571
0.6078 Remote Similarity NPC278552
0.6038 Remote Similarity NPC246328
0.6038 Remote Similarity NPC27532
0.6 Remote Similarity NPC186847
0.5962 Remote Similarity NPC201227
0.5962 Remote Similarity NPC32441
0.5962 Remote Similarity NPC258474
0.5962 Remote Similarity NPC79943
0.5821 Remote Similarity NPC36916
0.5821 Remote Similarity NPC36
0.5821 Remote Similarity NPC7154
0.5821 Remote Similarity NPC125039
0.5821 Remote Similarity NPC7688
0.5763 Remote Similarity NPC262038
0.5763 Remote Similarity NPC319910
0.5758 Remote Similarity NPC606364
0.5741 Remote Similarity NPC325028
0.5741 Remote Similarity NPC256346
0.5741 Remote Similarity NPC122828
0.5741 Remote Similarity NPC606550
0.5735 Remote Similarity NPC138688
0.5735 Remote Similarity NPC72787
0.5735 Remote Similarity NPC217795
0.5735 Remote Similarity NPC58223
0.5714 Remote Similarity NPC611035
0.5652 Remote Similarity NPC279209
0.5652 Remote Similarity NPC102277
0.5652 Remote Similarity NPC479117
0.5625 Remote Similarity NPC153342
0.5614 Remote Similarity NPC52530
0.5574 Remote Similarity NPC217706
0.5571 Remote Similarity NPC75827
0.5556 Remote Similarity NPC610035
0.5536 Remote Similarity NPC609065
0.5373 Remote Similarity NPC262039
0.537 Remote Similarity NPC476182
0.5357 Remote Similarity NPC263449
0.5345 Remote Similarity NPC471744
0.5303 Remote Similarity NPC160156
0.5303 Remote Similarity NPC92565
0.5254 Remote Similarity NPC123544
0.5254 Remote Similarity NPC484335
0.5224 Remote Similarity NPC603037
0.5091 Remote Similarity NPC295261
0.5091 Remote Similarity NPC296490
0.5088 Remote Similarity NPC321011
0.5088 Remote Similarity NPC294852
0.5088 Remote Similarity NPC481903
0.5088 Remote Similarity NPC188679
0.5075 Remote Similarity NPC270578
0.5075 Remote Similarity NPC250963
0.5075 Remote Similarity NPC274256
0.5075 Remote Similarity NPC109582
0.5075 Remote Similarity NPC291220
0.5075 Remote Similarity NPC52382

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC326506 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
0.5962 Remote Similarity NPD1552 Clinical (unspecified phase)
0.5821 Remote Similarity NPD6166 Phase 2
0.5821 Remote Similarity NPD6167 Clinical (unspecified phase)
0.5821 Remote Similarity NPD6168 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