Natural Product: NPC319880

Natural Product IDNPC319880
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Mekongensine
IUPAC Name n.a.
Synonyms mekongensine
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1813068
PubChem CID 56669673
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones

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 ZOOHSIOMIRBBDY-DLKMHDBTSA-N
Standard InCHI InChI=1S/C45H51NO20/c1-22(47)57-21-44-36(61-25(4)50)32(59-23(2)48)31-34(63-38(53)28-14-11-10-12-15-28)45(44)43(9,56)35(33(60-24(3)49)37(44)62-26(5)51)64-40(55)41(7,65-27(6)52)18-17-30-29(16-13-19-46-30)39(54)58-20-42(31,8)66-45/h10-16,19,31-37,56H,17-18,20-21H2,1-9H3/t31-,32-,33+,34-,35+,36-,37+,41+,42+,43+,44+,45+/m1/s1
SMILES CC(=O)OC[C@@]12[C@@H](OC(=O)C)[C@@H](OC(=O)C)[C@H]3[C@]([C@@]42O[C@@]([C@H]([C@H]([C@H]1OC(=O)C)OC(=O)C)[C@H]4OC(=O)c1ccccc1)(C)COC(=O)c1cccnc1CC[C@](C(=O)O3)(C)OC(=O)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
NPO30152 Maytenus mekongensis Species Celastraceae Eukaryota n.a. root n.a. PMID[21634414]

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
NPT91 Cell line KB Homo sapiens IC50 = 28.2 ug.mL-1 PMID[21634414]
NPT485 Organism Plasmodium falciparum (isolate K1 / Thailand) Plasmodium falciparum K1 IC50 = 3100.0 nM PMID[21634414]

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 NPC319880 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 NPC320324
0.9688 High Similarity NPC327904
0.9286 High Similarity NPC38959
0.87 High Similarity NPC244839
0.8571 High Similarity NPC328186
0.83 Intermediate Similarity NPC316841
0.7981 Intermediate Similarity NPC600583
0.7843 Intermediate Similarity NPC122968
0.7843 Intermediate Similarity NPC228377
0.781 Intermediate Similarity NPC601643
0.7767 Intermediate Similarity NPC475631
0.7547 Intermediate Similarity NPC473689
0.7547 Intermediate Similarity NPC292416
0.7524 Intermediate Similarity NPC475596
0.74 Intermediate Similarity NPC250807
0.74 Intermediate Similarity NPC57797
0.7315 Intermediate Similarity NPC475406
0.7273 Intermediate Similarity NPC471979
0.7264 Intermediate Similarity NPC87152
0.7196 Intermediate Similarity NPC476110
0.7156 Intermediate Similarity NPC237702
0.7117 Intermediate Similarity NPC327769
0.7115 Intermediate Similarity NPC146824
0.7103 Intermediate Similarity NPC475600
0.7009 Intermediate Similarity NPC475303
0.6937 Remote Similarity NPC477787
0.6822 Remote Similarity NPC53255
0.6822 Remote Similarity NPC85879
0.6757 Remote Similarity NPC600607
0.6757 Remote Similarity NPC611166
0.6667 Remote Similarity NPC76565
0.6667 Remote Similarity NPC601313
0.6577 Remote Similarity NPC13603
0.6549 Remote Similarity NPC253482
0.6545 Remote Similarity NPC475301
0.6518 Remote Similarity NPC30456
0.6518 Remote Similarity NPC488904
0.6261 Remote Similarity NPC475648
0.6228 Remote Similarity NPC475644
0.6161 Remote Similarity NPC326930
0.6154 Remote Similarity NPC328928
0.6148 Remote Similarity NPC483854
0.6121 Remote Similarity NPC600546
0.6098 Remote Similarity NPC482915
0.6053 Remote Similarity NPC470486
0.6 Remote Similarity NPC600224
0.5963 Remote Similarity NPC473850
0.5929 Remote Similarity NPC475362
0.5913 Remote Similarity NPC328154
0.5862 Remote Similarity NPC604935
0.5776 Remote Similarity NPC471977
0.5702 Remote Similarity NPC483853
0.5702 Remote Similarity NPC608314
0.5676 Remote Similarity NPC35208
0.5641 Remote Similarity NPC477788
0.563 Remote Similarity NPC483893
0.5625 Remote Similarity NPC471016
0.561 Remote Similarity NPC475426
0.5586 Remote Similarity NPC470306
0.55 Remote Similarity NPC483894
0.5424 Remote Similarity NPC475533
0.5391 Remote Similarity NPC483856
0.5391 Remote Similarity NPC475498
0.5351 Remote Similarity NPC475137
0.5333 Remote Similarity NPC471190
0.5333 Remote Similarity NPC324619
0.5294 Remote Similarity NPC607403
0.525 Remote Similarity NPC475315
0.5214 Remote Similarity NPC483892
0.5085 Remote Similarity NPC473833
0.5082 Remote Similarity NPC483895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC319880 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