Natural Product: NPC307164

Natural Product IDNPC307164
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Tubiferolide Methyl Ester
IUPAC Name n.a.
Synonyms Tubiferolide Methyl Ester; Turbiferolide Methyl Ester
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL557930
PubChem CID 516547
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 CLKPXYYJFFVZSE-NOYYCYTFSA-N
Standard InCHI InChI=1S/C31H46O4/c1-19(2)9-8-10-20(3)22-11-13-29(6)24-17-23-26(21(4)27(33)35-23)31(14-12-25(32)34-7)18-30(24,31)16-15-28(22,29)5/h9,20,22-24,26H,4,8,10-18H2,1-3,5-7H3/t20-,22-,23-,24+,26-,28-,29+,30+,31-/m1/s1
SMILES CC(=CCC[C@@H](C)[C@H]1CC[C@@]2(C)[C@@H]3C[C@@H]4[C@@H](C(=C)C(=O)O4)[C@@]4(CCC(=O)OC)C[C@@]34CC[C@]12C)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
NPO11647 Gardenia sootepensis Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[19456120]
NPO33315 gardenia spp. Species Rubiaceae Eukaryota n.a. Thai n.a. PMID[22142538]
NPO11647 Gardenia sootepensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11647 Gardenia sootepensis Species Rubiaceae 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
NPT65 Cell line HepG2 Homo sapiens IC50 = 3.41 ug.mL-1 PMID[22642560]
NPT845 Cell line BT-474 Homo sapiens IC50 = 5.33 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT323 Cell line SW-620 Homo sapiens IC50 = 5.78 ug.mL-1 PMID[22037378]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 4.08 ug.mL-1 PMID[19456120]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 4.9 ug.mL-1 PMID[19456120]
NPT177 Tissue Aorta Rattus norvegicus Inhibition = 40.0 % PMID[7528786]

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 NPC307164 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
0.8871 High Similarity NPC470906
0.8871 High Similarity NPC603020
0.8594 High Similarity NPC476237
0.7969 Intermediate Similarity NPC252295
0.7353 Intermediate Similarity NPC476303
0.7206 Intermediate Similarity NPC147473
0.7051 Intermediate Similarity NPC470278
0.6901 Remote Similarity NPC470277
0.68 Remote Similarity NPC470273
0.6707 Remote Similarity NPC470279
0.6622 Remote Similarity NPC470275
0.6575 Remote Similarity NPC176883
0.6282 Remote Similarity NPC470276
0.6087 Remote Similarity NPC283733
0.6044 Remote Similarity NPC470280
0.5949 Remote Similarity NPC56731
0.5867 Remote Similarity NPC245284
0.573 Remote Similarity NPC470274
0.5571 Remote Similarity NPC33473
0.5522 Remote Similarity NPC139206
0.5405 Remote Similarity NPC476187
0.5135 Remote Similarity NPC66344

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC307164 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