Natural Product: NPC609321

Natural Product IDNPC609321
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 HKSUTAKOQIWUKO-WSTYBCKUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL5415409
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 HKSUTAKOQIWUKO-WSTYBCKUSA-N
Standard InCHI InChI=1S/C30H43NO4/c1-18(32)35-25-14-16-29(5)23(28(25,4)15-13-24(33)27(2,3)34)12-11-19-17-21-20-9-7-8-10-22(20)31-26(21)30(19,29)6/h7-10,19,23-25,31,33-34H,11-17H2,1-6H3/t19-,23-,24+,25-,28-,29-,30+/m0/s1
SMILES CC(=O)O[C@H]1CC[C@@]2(C)[C@@H](CC[C@H]3Cc4c([nH]c5ccccc45)[C@@]32C)[C@]1(C)CC[C@@H](O)C(C)(C)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
NPO20987 Penicillium janthinellum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[17555349]
NPO20987 Penicillium janthinellum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[31668073]
NPO20987 Penicillium janthinellum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20987 Penicillium janthinellum Species Aspergillaceae 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
NPT1845 Organism Vibrio alginolyticus Vibrio alginolyticus MIC = 12500.0 nM PMID[37011553]
NPT565 Organism Vibrio parahaemolyticus Vibrio parahaemolyticus MIC = 12500.0 nM PMID[37011553]
NPT29524 Organism Vibrio anguillarum Vibrio anguillarum MIC = 12500.0 nM PMID[37011553]

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 NPC609321 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
0.7397 Intermediate Similarity NPC165201
0.7162 Intermediate Similarity NPC602195
0.6835 Remote Similarity NPC119700
0.6829 Remote Similarity NPC489199
0.6456 Remote Similarity NPC6093
0.6437 Remote Similarity NPC36356
0.6296 Remote Similarity NPC231342
0.6222 Remote Similarity NPC609846
0.6125 Remote Similarity NPC198339
0.5952 Remote Similarity NPC489082
0.5926 Remote Similarity NPC97525
0.5914 Remote Similarity NPC601417
0.5895 Remote Similarity NPC606615
0.5882 Remote Similarity NPC34271
0.5882 Remote Similarity NPC20697
0.5747 Remote Similarity NPC123019
0.5632 Remote Similarity NPC206967
0.557 Remote Similarity NPC302191
0.5506 Remote Similarity NPC18661
0.5495 Remote Similarity NPC600666
0.5455 Remote Similarity NPC224641
0.5432 Remote Similarity NPC99428
0.5222 Remote Similarity NPC487204
0.5222 Remote Similarity NPC235900
0.5222 Remote Similarity NPC487201
0.5172 Remote Similarity NPC487209
0.5098 Remote Similarity NPC607140
0.5057 Remote Similarity NPC487208
0.5055 Remote Similarity NPC487207
0.5055 Remote Similarity NPC484479
0.5054 Remote Similarity NPC471284
0.505 Remote Similarity NPC609845

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC609321 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