Natural Product: NPC472759

Natural Product IDNPC472759
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NOBRZUCGXCJOPI-CZBHJNBTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3582006
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0002875] Tigliane and ingenane diterpenoids

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 NOBRZUCGXCJOPI-CZBHJNBTSA-N
Standard InCHI InChI=1S/C33H44O7/c1-7-9-10-11-12-13-15-26(35)39-30-21(4)32(38)24-16-20(3)28(37)23(24)17-22(19-34)18-25(32)29-31(5,6)33(29,30)40-27(36)14-8-2/h9-13,15-16,18,21,23-25,29-30,34,38H,7-8,14,17,19H2,1-6H3/b10-9+,12-11+,15-13-/t21-,23-,24-,25+,29-,30-,32+,33-/m1/s1
SMILES CC/C=C/C=C/C=CC(=O)O[C@@H]1[C@@H](C)[C@]2(O)[C@@H]3C=C(C(=O)[C@@H]3CC(=C[C@H]2[C@H]2[C@]1(OC(=O)CCC)C2(C)C)CO)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
NPO33329 stillingia lineata Species Euphorbiaceae Eukaryota Leaves Langevin, La Reunion, France 2009-Nov PMID[25946116]
NPO33329 stillingia lineata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT393 Cell line HCT-116 Homo sapiens Inhibition < 40.0 % PMID[17844994]
NPT83 Cell line MCF7 Homo sapiens Inhibition < 40.0 % PMID[23398362]
NPT306 Cell line PC-3 Homo sapiens Inhibition < 40.0 % PubChem BioAssay data set
NPT189 Cell line Vero Chlorocebus aethiops CC50 = 7100.0 nM DrugMatrix in vivo data: Biochemistry
NPT25 Cell line MT4 Homo sapiens CC50 = 8400.0 nM PMID[20805391]
NPT856 Organism Semliki forest virus Semliki forest virus EC50 > 177000.0 nM PMID[17190442]
NPT332 Organism Human immunodeficiency virus type 2 (ISOLATE ROD) Human immunodeficiency virus type 2 (ISOLATE ROD) EC50 = 174.0 nM PMID[18302336]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. EC50 = 1400.0 nM PMID[25946116]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 EC50 = 233.0 nM PMID[18809945]
NPT338 Organism Sindbis virus Sindbis virus EC50 = 5000.0 nM PMID[19029333]
NPT2 Others Unspecified n.a. Ratio CC50/EC50 = 36.0 n.a. PMID[18500841]
NPT2 Others Unspecified n.a. Ratio CC50/EC50 = 33.0 n.a. PMID[17181158]
NPT2 Others Unspecified n.a. Ratio CC50/EC50 = 5.1 n.a. PMID[14738378]
NPT2 Others Unspecified n.a. Ratio CC50/EC50 = 1.4 n.a. PMID[23398362]

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 NPC472759 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
0.9104 High Similarity NPC608501
0.8571 High Similarity NPC236918
0.8571 High Similarity NPC156745
0.8219 Intermediate Similarity NPC482220
0.8082 Intermediate Similarity NPC482221
0.7867 Intermediate Similarity NPC482222
0.7763 Intermediate Similarity NPC482219
0.7027 Intermediate Similarity NPC485737
0.6883 Remote Similarity NPC10721
0.6849 Remote Similarity NPC154363
0.6806 Remote Similarity NPC482406
0.6711 Remote Similarity NPC476111
0.6622 Remote Similarity NPC472757
0.6622 Remote Similarity NPC481522
0.6533 Remote Similarity NPC481520
0.6447 Remote Similarity NPC234858
0.6447 Remote Similarity NPC179207
0.641 Remote Similarity NPC90814
0.641 Remote Similarity NPC189393
0.6341 Remote Similarity NPC329080
0.6296 Remote Similarity NPC145238
0.6282 Remote Similarity NPC471127
0.6282 Remote Similarity NPC481525
0.6282 Remote Similarity NPC481531
0.5949 Remote Similarity NPC475885
0.575 Remote Similarity NPC485734
0.5663 Remote Similarity NPC478999
0.5632 Remote Similarity NPC482199
0.5632 Remote Similarity NPC482197
0.5568 Remote Similarity NPC140021
0.5506 Remote Similarity NPC482198
0.5465 Remote Similarity NPC481523
0.5444 Remote Similarity NPC479001
0.5444 Remote Similarity NPC479002
0.5443 Remote Similarity NPC171905
0.5412 Remote Similarity NPC484333
0.5341 Remote Similarity NPC611138
0.5275 Remote Similarity NPC112752
0.5275 Remote Similarity NPC311054
0.5244 Remote Similarity NPC482405
0.5119 Remote Similarity NPC481528

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472759 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