Natural Product: NPC290621

Natural Product IDNPC290621
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 HDNRAPAFJLXKBV-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 73690
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002341] Phenol ethers
        • [CHEMONTID:0000138] Anisoles

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 HDNRAPAFJLXKBV-UHFFFAOYSA-N
Standard InCHI InChI=1S/C9H12O/c1-3-8-4-6-9(10-2)7-5-8/h4-7H,3H2,1-2H3
SMILES CCc1ccc(cc1)OC

  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
NPO2392 Hansenia weberbaueriana Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[25333853]
NPO55150 Grewia bulot Genus Malvaceae Eukaryota n.a. n.a. n.a. PMID[37910669]
NPO2392 Hansenia weberbaueriana Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24644 Hansenia forbesii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2953 Ostericum grosseserratum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2392 Hansenia weberbaueriana Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24644 Hansenia forbesii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24644 Hansenia forbesii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2953 Ostericum grosseserratum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2392 Hansenia weberbaueriana Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO24644 Hansenia forbesii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2953 Ostericum grosseserratum Species Apiaceae 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
NPO55150 Grewia bulot Oil Leaves 0.3 n.a. n.a. % PMID[37910669]

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

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 NPC290621 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
0.72 Intermediate Similarity NPC321956
0.72 Intermediate Similarity NPC38209
0.68 Remote Similarity NPC71853
0.6667 Remote Similarity NPC97811
0.6667 Remote Similarity NPC605225
0.6429 Remote Similarity NPC298224
0.6296 Remote Similarity NPC42383
0.6071 Remote Similarity NPC1065
0.6 Remote Similarity NPC183648
0.5862 Remote Similarity NPC469954
0.5833 Remote Similarity NPC57879
0.5833 Remote Similarity NPC177844
0.5484 Remote Similarity NPC233599
0.5357 Remote Similarity NPC99886
0.5357 Remote Similarity NPC23332
0.5357 Remote Similarity NPC259134
0.5357 Remote Similarity NPC8002
0.5312 Remote Similarity NPC604482
0.5238 Remote Similarity NPC23837
0.52 Remote Similarity NPC197581
0.5185 Remote Similarity NPC305205
0.5161 Remote Similarity NPC165106
0.5152 Remote Similarity NPC233410
0.5152 Remote Similarity NPC474272
0.5152 Remote Similarity NPC608070

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC290621 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
0.5161 Remote Similarity NPD5283 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