Natural Product: NPC485734

Natural Product IDNPC485734
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HEFYFGPAOZVJLU-DBEPFEEWSA-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]

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 HEFYFGPAOZVJLU-DBEPFEEWSA-N
Standard InCHI InChI=1S/C38H58O7/c1-7-8-9-10-11-12-13-14-15-16-17-18-19-20-32(41)44-35-26(3)37(43)30-21-25(2)33(42)29(30)22-28(24-39)23-31(37)34-36(5,6)38(34,35)45-27(4)40/h21,23-24,26,29-31,34-35,43H,7-20,22H2,1-6H3/t26-,29-,30-,31+,34-,35-,37+,38-/m1/s1
SMILES CCCCCCCCCCCCCCCC(=O)O[C@@H]1[C@@H](C)[C@@]2([C@@H]3C=C(C)C(=O)[C@@H]3CC(=C[C@H]2[C@@H]2C(C)(C)[C@]12OC(=O)C)C=O)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
NPO40934 Stillingia loranthacea Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[31599155]

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
NPT189 Cell line Vero Chlorocebus aethiops CC50 = 24600.0 nM PMID[31599155]

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 NPC485734 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
0.8182 Intermediate Similarity NPC485737
0.7 Intermediate Similarity NPC482405
0.6806 Remote Similarity NPC481528
0.6757 Remote Similarity NPC10721
0.625 Remote Similarity NPC154363
0.6197 Remote Similarity NPC482406
0.6133 Remote Similarity NPC488610
0.6053 Remote Similarity NPC90814
0.6053 Remote Similarity NPC189393
0.6027 Remote Similarity NPC472757
0.5921 Remote Similarity NPC476111
0.5921 Remote Similarity NPC5991
0.5921 Remote Similarity NPC196500
0.5921 Remote Similarity NPC471108
0.5921 Remote Similarity NPC5989
0.5897 Remote Similarity NPC236918
0.5897 Remote Similarity NPC156745
0.5844 Remote Similarity NPC608501
0.5811 Remote Similarity NPC481522
0.5769 Remote Similarity NPC484252
0.575 Remote Similarity NPC472759
0.5733 Remote Similarity NPC481520
0.5696 Remote Similarity NPC488611
0.5658 Remote Similarity NPC234858
0.5658 Remote Similarity NPC179207
0.5542 Remote Similarity NPC482219
0.5541 Remote Similarity NPC600179
0.5541 Remote Similarity NPC602150
0.5513 Remote Similarity NPC471127
0.5513 Remote Similarity NPC19464
0.5513 Remote Similarity NPC481525
0.5513 Remote Similarity NPC481531
0.5385 Remote Similarity NPC275696
0.5385 Remote Similarity NPC255081
0.5366 Remote Similarity NPC482221
0.5301 Remote Similarity NPC482220
0.5135 Remote Similarity NPC481529
0.5125 Remote Similarity NPC486561
0.5059 Remote Similarity NPC482222

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC485734 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