Natural Product: NPC483773

Natural Product IDNPC483773
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XFWVHODJBGMKRO-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10881558
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002595] 3'-O-methylated flavonoids

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 XFWVHODJBGMKRO-UHFFFAOYSA-N
Standard InCHI InChI=1S/C17H14O6/c1-21-11-3-9(4-12(7-11)22-2)15-8-14(20)17-13(19)5-10(18)6-16(17)23-15/h3-8,18-19H,1-2H3
SMILES COc1cc(cc(c1)OC)c1cc(=O)c2c(cc(cc2o1)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
NPO40877 Malagasy connaraceous Species n.a. n.a. n.a. n.a. n.a. PMID[14510616]

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
NPT521 Cell line RBL-2H3 Rattus norvegicus IC50 > 500000.0 nM PMID[14510616]

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 NPC483773 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
0.8039 Intermediate Similarity NPC62536
0.8039 Intermediate Similarity NPC120464
0.7692 Intermediate Similarity NPC231772
0.7358 Intermediate Similarity NPC601901
0.7273 Intermediate Similarity NPC12200
0.7273 Intermediate Similarity NPC606638
0.7143 Intermediate Similarity NPC183950
0.6964 Remote Similarity NPC52005
0.6909 Remote Similarity NPC600900
0.6538 Remote Similarity NPC50898
0.6538 Remote Similarity NPC78540
0.6415 Remote Similarity NPC175013
0.6349 Remote Similarity NPC183
0.6333 Remote Similarity NPC605634
0.6296 Remote Similarity NPC279121
0.6029 Remote Similarity NPC63454
0.6029 Remote Similarity NPC183851
0.597 Remote Similarity NPC150908
0.5882 Remote Similarity NPC303485
0.5862 Remote Similarity NPC33265
0.5862 Remote Similarity NPC48479
0.5797 Remote Similarity NPC186227
0.5735 Remote Similarity NPC600972
0.5714 Remote Similarity NPC274121
0.569 Remote Similarity NPC284552
0.569 Remote Similarity NPC219330
0.569 Remote Similarity NPC605617
0.5652 Remote Similarity NPC290830
0.5652 Remote Similarity NPC71061
0.5652 Remote Similarity NPC72425
0.5634 Remote Similarity NPC601565
0.5614 Remote Similarity NPC213216
0.5593 Remote Similarity NPC59951
0.5593 Remote Similarity NPC241838
0.5593 Remote Similarity NPC234133
0.5593 Remote Similarity NPC28274
0.5593 Remote Similarity NPC610359
0.5574 Remote Similarity NPC162351
0.5574 Remote Similarity NPC609179
0.5571 Remote Similarity NPC272064
0.5541 Remote Similarity NPC101731
0.5538 Remote Similarity NPC112954
0.5517 Remote Similarity NPC610974
0.5493 Remote Similarity NPC215203
0.5484 Remote Similarity NPC133953
0.5467 Remote Similarity NPC172202
0.5467 Remote Similarity NPC284127
0.5439 Remote Similarity NPC483772
0.5424 Remote Similarity NPC241498
0.5424 Remote Similarity NPC123886
0.5424 Remote Similarity NPC184536
0.5424 Remote Similarity NPC127447
0.5424 Remote Similarity NPC156222
0.5424 Remote Similarity NPC103342
0.5424 Remote Similarity NPC29353
0.541 Remote Similarity NPC159103
0.5362 Remote Similarity NPC134796
0.5333 Remote Similarity NPC286342
0.5333 Remote Similarity NPC50403
0.5333 Remote Similarity NPC184136
0.5323 Remote Similarity NPC177298
0.5323 Remote Similarity NPC195202
0.5323 Remote Similarity NPC603596
0.5303 Remote Similarity NPC301217
0.5278 Remote Similarity NPC143851
0.5263 Remote Similarity NPC88023
0.5263 Remote Similarity NPC165970
0.5263 Remote Similarity NPC309025
0.5256 Remote Similarity NPC84324
0.5254 Remote Similarity NPC293183
0.5254 Remote Similarity NPC75279
0.5246 Remote Similarity NPC108406
0.5246 Remote Similarity NPC603662
0.5238 Remote Similarity NPC125062
0.5238 Remote Similarity NPC279989
0.5238 Remote Similarity NPC137062
0.5195 Remote Similarity NPC288131
0.5167 Remote Similarity NPC301323
0.5167 Remote Similarity NPC600177
0.5161 Remote Similarity NPC82325
0.5161 Remote Similarity NPC54394
0.5161 Remote Similarity NPC83508
0.5161 Remote Similarity NPC328119
0.5161 Remote Similarity NPC255350
0.5156 Remote Similarity NPC483775
0.5152 Remote Similarity NPC138299
0.5152 Remote Similarity NPC111112
0.5147 Remote Similarity NPC34089
0.5147 Remote Similarity NPC196179
0.5082 Remote Similarity NPC100887
0.5082 Remote Similarity NPC266597
0.5082 Remote Similarity NPC276409
0.5079 Remote Similarity NPC124784
0.5079 Remote Similarity NPC223579
0.5075 Remote Similarity NPC291746
0.5072 Remote Similarity NPC224714
0.5062 Remote Similarity NPC476410

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483773 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
0.6296 Remote Similarity NPD1511 Phase 2
0.5161 Remote Similarity NPD2801 Pre-clinical

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