Natural Product: NPC131266

Natural Product IDNPC131266
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Psi-Tectorigenin
IUPAC Name 5,7-dihydroxy-3-(4-hydroxyphenyl)-8-methoxychromen-4-one
Synonyms Psi-Tectorigenin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL242741
PubChem CID 5353911
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002901] Isoflav-2-enes
          • [CHEMONTID:0000494] Isoflavones

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 UYLQOGTYNFVQQX-UHFFFAOYSA-N
Standard InCHI InChI=1S/C16H12O6/c1-21-15-12(19)6-11(18)13-14(20)10(7-22-16(13)15)8-2-4-9(17)5-3-8/h2-7,17-19H,1H3
SMILES COc1c(O)cc(c2c1occ(c2=O)c1ccc(cc1)O)O

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[10075762]
NPO7528 Belamcanda chinensis Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[21465599]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[24433009]
NPO7528 Belamcanda chinensis Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[25036154]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[28032759]
NPO7528 Belamcanda chinensis Species Iridaceae Eukaryota Rhizomes n.a. n.a. PMID[31246464]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7528 Belamcanda chinensis Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7528 Belamcanda chinensis Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14417 Iris tectorum Species Iridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7528 Belamcanda chinensis Species Iridaceae 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
NPT285 Individual protein Epidermal growth factor receptor erbB1 Homo sapiens IC50 = 0.1 ug.mL-1 PMID[1479375]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT22906 Protein complex Urease subunit alpha/Urease subunit beta Helicobacter pylori (strain ATCC 700392 / 26695) (Campylobacterpylori) Inhibition = 23.0 % PMID[17400458]
NPT22906 Protein complex Urease subunit alpha/Urease subunit beta Helicobacter pylori (strain ATCC 700392 / 26695) (Campylobacterpylori) Inhibition = 36.0 % PMID[17400458]

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 NPC131266 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
0.6727 Remote Similarity NPC269451
0.6415 Remote Similarity NPC39426
0.6316 Remote Similarity NPC303644
0.6167 Remote Similarity NPC254702
0.6034 Remote Similarity NPC216769
0.6034 Remote Similarity NPC100971
0.6034 Remote Similarity NPC294409
0.6034 Remote Similarity NPC490701
0.5932 Remote Similarity NPC483565
0.5862 Remote Similarity NPC7013
0.5763 Remote Similarity NPC69430
0.5738 Remote Similarity NPC194653
0.569 Remote Similarity NPC605229
0.5593 Remote Similarity NPC78341
0.5588 Remote Similarity NPC605728
0.5574 Remote Similarity NPC309154
0.5574 Remote Similarity NPC200316
0.55 Remote Similarity NPC181124
0.55 Remote Similarity NPC245382
0.55 Remote Similarity NPC162680
0.5484 Remote Similarity NPC481044
0.5424 Remote Similarity NPC295384
0.5424 Remote Similarity NPC301323
0.541 Remote Similarity NPC239363
0.5397 Remote Similarity NPC483637
0.5397 Remote Similarity NPC264550
0.5345 Remote Similarity NPC38065
0.5333 Remote Similarity NPC35763
0.5323 Remote Similarity NPC264289
0.5312 Remote Similarity NPC144118
0.5263 Remote Similarity NPC608554
0.5224 Remote Similarity NPC219917
0.5205 Remote Similarity NPC601188
0.5161 Remote Similarity NPC19980
0.5156 Remote Similarity NPC285973
0.5156 Remote Similarity NPC114192
0.5152 Remote Similarity NPC222298
0.5152 Remote Similarity NPC604003
0.5152 Remote Similarity NPC608523
0.5147 Remote Similarity NPC611071
0.5088 Remote Similarity NPC234560
0.5082 Remote Similarity NPC116632
0.5075 Remote Similarity NPC24673

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC131266 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
0.6415 Remote Similarity NPD1510 Phase 2

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