Natural Product: NPC125106

Natural Product IDNPC125106
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OVQQPOHQLNLSCP-HHATXKITSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL499498
PubChem CID 25016918
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002051] Agarofurans

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 OVQQPOHQLNLSCP-HHATXKITSA-N
Standard InCHI InChI=1S/C35H40O10/c1-21(36)41-25-19-20-33(5,40)35-29(42-22(2)37)27(32(3,4)45-35)28(43-26(38)18-17-23-13-9-7-10-14-23)30(34(25,35)6)44-31(39)24-15-11-8-12-16-24/h7-18,25,27-30,40H,19-20H2,1-6H3/b18-17+/t25-,27+,28-,29+,30-,33-,34-,35-/m0/s1
SMILES CC(=O)O[C@H]1CC[C@@](C)([C@@]23[C@@H]([C@@H]([C@@H]([C@@H]([C@]12C)OC(=O)c1ccccc1)OC(=O)/C=C/c1ccccc1)C(C)(C)O3)OC(=O)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
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18616221]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota stems Montecristo National Park, province of Santa Ana, El Salvador 2004-JUN PMID[20873773]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[21419633]
NPO15653 Celastrus vulcanicola Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[25695368]
NPO15653 Celastrus vulcanicola Species Celastraceae 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
NPT668 Individual protein P-glycoprotein 1 Homo sapiens Ki = 290.0 nM PMID[22245048]
NPT668 Individual protein P-glycoprotein 1 Homo sapiens Activity = 83.0 % PMID[21420296]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 12.5 ug.mL-1 PMID[17883259]
NPT790 Organism Mycobacterium tuberculosis H37Rv Mycobacterium tuberculosis H37Rv MIC > 25.0 ug.mL-1 PubChem BioAssay data set

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 NPC125106 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 NPC472573
0.7639 Intermediate Similarity NPC163719
0.7639 Intermediate Similarity NPC95810
0.7125 Intermediate Similarity NPC70403
0.7125 Intermediate Similarity NPC177940
0.6548 Remote Similarity NPC301368
0.6548 Remote Similarity NPC84815
0.6386 Remote Similarity NPC603877
0.6375 Remote Similarity NPC57628
0.6322 Remote Similarity NPC253738
0.6304 Remote Similarity NPC6981
0.6265 Remote Similarity NPC29704
0.6265 Remote Similarity NPC470157
0.6163 Remote Similarity NPC188865
0.6163 Remote Similarity NPC184817
0.6154 Remote Similarity NPC483886
0.6145 Remote Similarity NPC481050
0.6 Remote Similarity NPC470159
0.5952 Remote Similarity NPC609221
0.5949 Remote Similarity NPC281717
0.5875 Remote Similarity NPC291599
0.5875 Remote Similarity NPC200471
0.5875 Remote Similarity NPC472575
0.5862 Remote Similarity NPC610927
0.5814 Remote Similarity NPC472571
0.5775 Remote Similarity NPC470154
0.5699 Remote Similarity NPC476975
0.5647 Remote Similarity NPC476970
0.5604 Remote Similarity NPC476974
0.557 Remote Similarity NPC66761
0.557 Remote Similarity NPC483843
0.5567 Remote Similarity NPC483880
0.5567 Remote Similarity NPC156941
0.5556 Remote Similarity NPC87448
0.5529 Remote Similarity NPC210591
0.5506 Remote Similarity NPC483865
0.5455 Remote Similarity NPC488917
0.5455 Remote Similarity NPC483878
0.5455 Remote Similarity NPC476971
0.5444 Remote Similarity NPC483859
0.5417 Remote Similarity NPC471980
0.5375 Remote Similarity NPC211137
0.5341 Remote Similarity NPC481486
0.5287 Remote Similarity NPC473085
0.5287 Remote Similarity NPC473112
0.5233 Remote Similarity NPC472569
0.5233 Remote Similarity NPC16912
0.5227 Remote Similarity NPC470153
0.5227 Remote Similarity NPC481489
0.5222 Remote Similarity NPC25768
0.5185 Remote Similarity NPC476094
0.5176 Remote Similarity NPC471104
0.5176 Remote Similarity NPC171207
0.5169 Remote Similarity NPC481488
0.5165 Remote Similarity NPC174982
0.5114 Remote Similarity NPC607428
0.5109 Remote Similarity NPC171525
0.5059 Remote Similarity NPC472572
0.5057 Remote Similarity NPC11685
0.5055 Remote Similarity NPC483866
0.5053 Remote Similarity NPC476973

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125106 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