Natural Product: NPC286253

Natural Product IDNPC286253
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DLKOUKNODPCIHZ-HYFCQFJYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000296] Benzodioxoles

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 DLKOUKNODPCIHZ-HYFCQFJYSA-N
Standard InCHI InChI=1S/C19H21NO3/c21-19(20-12-6-3-7-13-20)9-5-2-1-4-8-16-10-11-17-18(14-16)23-15-22-17/h1-2,4-5,8-11,14H,3,6-7,12-13,15H2/b2-1-,8-4+,9-5-
SMILES C(=CC=C/C(=O)N1CCCCC1)C=Cc1ccc2c(c1)OCO2

  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
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. PMID[16872768]
NPO26237 Piper longum Species Piperaceae Eukaryota fruits n.a. n.a. PMID[20839888]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. PMID[23434420]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26237 Piper longum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO26237 Piper longum Species Piperaceae 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

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 NPC286253 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 NPC205178
1.0 High Similarity NPC227218
0.9167 High Similarity NPC255817
0.9167 High Similarity NPC136330
0.8958 High Similarity NPC94280
0.7818 Intermediate Similarity NPC73883
0.7818 Intermediate Similarity NPC251454
0.7636 Intermediate Similarity NPC103947
0.7636 Intermediate Similarity NPC45783
0.7368 Intermediate Similarity NPC220923
0.7368 Intermediate Similarity NPC196609
0.7255 Intermediate Similarity NPC167096
0.7255 Intermediate Similarity NPC605721
0.7193 Intermediate Similarity NPC328419
0.7091 Intermediate Similarity NPC159150
0.7059 Intermediate Similarity NPC217574
0.6842 Remote Similarity NPC230698
0.6842 Remote Similarity NPC99078
0.6842 Remote Similarity NPC96406
0.6667 Remote Similarity NPC193673
0.6182 Remote Similarity NPC470707
0.5932 Remote Similarity NPC194359
0.5932 Remote Similarity NPC28641
0.5932 Remote Similarity NPC145446
0.5932 Remote Similarity NPC180647
0.5932 Remote Similarity NPC137172
0.5932 Remote Similarity NPC225745
0.5714 Remote Similarity NPC95366
0.5636 Remote Similarity NPC199209
0.5593 Remote Similarity NPC252107
0.5484 Remote Similarity NPC318862
0.5254 Remote Similarity NPC469808
0.52 Remote Similarity NPC127326
0.5161 Remote Similarity NPC248505
0.5156 Remote Similarity NPC251466

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC286253 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
0.9167 High Similarity NPD2492 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