Natural Product: NPC473851

Natural Product IDNPC473851
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.
 DRLHUZGVDNWMNU-BQRQUQMESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL453475
PubChem CID 44559500
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 DRLHUZGVDNWMNU-BQRQUQMESA-N
Standard InCHI InChI=1S/C39H64O13/c1-16-11-27(41)39(47-15-16)17(2)28-26(52-39)14-23-21-13-25(24-12-20(40)7-9-37(24,5)22(21)8-10-38(23,28)6)50-36-33(46)34(30(43)19(4)49-36)51-35-32(45)31(44)29(42)18(3)48-35/h16-36,40-46H,7-15H2,1-6H3/t16-,17+,18-,19-,20+,21-,22+,23+,24-,25+,26+,27+,28+,29-,30-,31+,32+,33-,34+,35+,36+,37-,38+,39+/m1/s1
SMILES O[C@H]1CC[C@]2([C@H](C1)[C@@H](O[C@@H]1O[C@H](C)[C@H]([C@@H]([C@H]1O)O[C@@H]1O[C@H](C)[C@H]([C@@H]([C@@H]1O)O)O)O)C[C@@H]1[C@@H]2CC[C@]2([C@H]1C[C@H]1[C@@H]2[C@H](C)[C@@]2(O1)OC[C@@H](C[C@@H]2O)C)C)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
NPO4703 Solanum hispidum Species Solanaceae Eukaryota leaves n.a. n.a. PMID[15217270]
NPO4703 Solanum hispidum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4703 Solanum hispidum Species Solanaceae 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
NPT21 Organism Aspergillus niger Aspergillus niger MIC = 200.0 ug.mL-1 PMID[25237727]
NPT330 Organism Trichophyton mentagrophytes Trichophyton mentagrophytes MIC = 200.0 ug.mL-1 PMID[20030343]
NPT329 Organism Trichophyton rubrum Trichophyton rubrum MIC = 200.0 ug.mL-1 DOI[10.1007/s00044-009-9214-8]
NPT20 Organism Candida albicans Candida albicans MIC = 200.0 ug.mL-1 PMID[12036352]

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 NPC473851 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 NPC179859
0.8659 High Similarity NPC291547
0.8659 High Similarity NPC485593
0.8659 High Similarity NPC174024
0.8072 Intermediate Similarity NPC131693
0.8072 Intermediate Similarity NPC475436
0.6988 Remote Similarity NPC144790
0.6988 Remote Similarity NPC149400
0.6889 Remote Similarity NPC312678
0.6889 Remote Similarity NPC253268
0.6364 Remote Similarity NPC485603
0.6136 Remote Similarity NPC277715
0.5789 Remote Similarity NPC485591
0.5743 Remote Similarity NPC485599
0.5667 Remote Similarity NPC88962
0.5577 Remote Similarity NPC485598
0.5534 Remote Similarity NPC485597
0.55 Remote Similarity NPC485590
0.5481 Remote Similarity NPC485596
0.5385 Remote Similarity NPC485605
0.5312 Remote Similarity NPC485594
0.5143 Remote Similarity NPC14704
0.5138 Remote Similarity NPC485604

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473851 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