Natural Product: NPC152659

Natural Product IDNPC152659
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LERNWSHUQATAEP-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3421659
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0002817] Dibenzopyrans
            • [CHEMONTID:0000200] Xanthenes
              • [CHEMONTID:0000204] Xanthones
                • [CHEMONTID:0003517] 2-prenylated xanthones

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 LERNWSHUQATAEP-UHFFFAOYSA-N
Standard InCHI InChI=1S/C24H26O6/c1-12(2)6-7-13-16(28-5)11-18-20(21(13)26)22(27)19-14-8-9-24(3,4)30-23(14)15(25)10-17(19)29-18/h6,10-11,25-26H,7-9H2,1-5H3
SMILES CC(=CCc1c(cc2c(c1O)c(=O)c1c3CCC(C)(C)Oc3c(cc1o2)O)OC)C

  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
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. DOI[10.1071/CH03175]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota twigs n.a. n.a. PMID[20058933]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota young fruits Khokkhon, Tha Bo District, Nong Khai Province, Thailand 2011-Aug PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota flowers Pakook, Muang District, Chiang Rai Province, Thailand 2013-Feb PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota Leaves n.a. n.a. PMID[31860303]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25472 Garcinia cowa Species Clusiaceae 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
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC = 128.0 ug.mL-1 PMID[15217297]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 128.0 ug.mL-1 PMID[22122518]
NPT19 Organism Escherichia coli Escherichia coli MIC > 128.0 ug.mL-1 PMID[12880317]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC > 128.0 ug.mL-1 PMID[11908979]
NPT314 Organism Bacillus cereus Bacillus cereus MIC = 128.0 ug.mL-1 PMID[15165146]
NPT2 Others Unspecified n.a. Inhibition > 100.0 % PMID[10650083]

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 NPC152659 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
0.7971 Intermediate Similarity NPC236521
0.7879 Intermediate Similarity NPC146134
0.7846 Intermediate Similarity NPC14353
0.7429 Intermediate Similarity NPC25152
0.726 Intermediate Similarity NPC239752
0.6986 Remote Similarity NPC210446
0.6714 Remote Similarity NPC604618
0.6667 Remote Similarity NPC117854
0.6429 Remote Similarity NPC165977
0.6338 Remote Similarity NPC200746
0.6316 Remote Similarity NPC275780
0.6234 Remote Similarity NPC170245
0.6184 Remote Similarity NPC248638
0.6111 Remote Similarity NPC56085
0.6098 Remote Similarity NPC472449
0.5974 Remote Similarity NPC310349
0.5974 Remote Similarity NPC61010
0.589 Remote Similarity NPC228785
0.5867 Remote Similarity NPC474186
0.5867 Remote Similarity NPC475886
0.5833 Remote Similarity NPC39091
0.5769 Remote Similarity NPC474287
0.5769 Remote Similarity NPC475883
0.5714 Remote Similarity NPC474350
0.5676 Remote Similarity NPC266499
0.5625 Remote Similarity NPC474351
0.557 Remote Similarity NPC474187
0.5556 Remote Similarity NPC40491
0.5556 Remote Similarity NPC278052
0.5541 Remote Similarity NPC241904
0.5395 Remote Similarity NPC152951
0.5352 Remote Similarity NPC174999
0.5244 Remote Similarity NPC6588
0.5185 Remote Similarity NPC189473
0.5185 Remote Similarity NPC229632
0.5169 Remote Similarity NPC150977
0.5128 Remote Similarity NPC479160
0.5122 Remote Similarity NPC300727
0.5114 Remote Similarity NPC479159
0.5065 Remote Similarity NPC479167
0.5057 Remote Similarity NPC7483
0.5057 Remote Similarity NPC479157
0.5057 Remote Similarity NPC74766

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC152659 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