Natural Product: NPC197272

Natural Product IDNPC197272
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.
Petrotriyndiol A
IUPAC Name (3S,4E,14R,15Z,21Z,27Z,43Z)-hexatetraconta-4,15,21,27,43-pentaen-1,12,45-triyne-3,14-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL447320
PubChem CID 10818083
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols

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 RWNBIJPLTYHBMT-AFOSVNONSA-N
Standard InCHI InChI=1S/C46H72O2/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24-25-26-27-28-29-30-34-37-40-43-46(48)44-41-38-35-32-31-33-36-39-42-45(47)4-2/h1-2,5-6,21-22,27-28,39-40,42-43,45-48H,7-20,23-26,29-38H2/b6-5-,22-21-,28-27-,42-39+,43-40-/t45-,46-/m1/s1
SMILES C#C/C=CCCCCCCCCCCCCCC/C=CCCCC/C=CCCCC/C=C[C@H](C#CCCCCCC/C=C/[C@@H](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
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. (15-25 m depth) off Komun Island, Korea 1995-JUL PMID[10217707]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[10346968]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11170665]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11754614]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Indonesia 1996 PMID[18327911]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Miyako sea-knoll, southwestern Japan (2525.64' N, 12542.48' E), at a depth of 415 m 2009-OCT PMID[21534590]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. American Samoa n.a. PMID[23368996]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[26821210]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[9917297]
NPO32667 Petrosia sp. Species Petrosiidae 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
NPT81 Cell line A549 Homo sapiens ED50 = 1.8 ug ml-1 PMID[20192242]
NPT146 Cell line SK-OV-3 Homo sapiens ED50 = 0.8 ug ml-1 PMID[25338277]
NPT147 Cell line SK-MEL-2 Homo sapiens ED50 = 0.6 ug ml-1 PMID[16038541]
NPT574 Cell line XF498 Homo sapiens ED50 = 1.3 ug ml-1 PMID[18411326]
NPT148 Cell line HCT-15 Homo sapiens ED50 = 0.8 ug ml-1 PMID[22037378]
NPT6068 Organism Simian virus 40 Simian virus 40 Inhibition = 62.0 % PMID[17552563]
NPT6068 Organism Simian virus 40 Simian virus 40 Inhibition = 90.0 % PMID[17567121]
NPT6068 Organism Simian virus 40 Simian virus 40 Inhibition = 100.0 % PMID[22769561]

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 NPC197272 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
0.8611 High Similarity NPC89824
0.8611 High Similarity NPC475477
0.8611 High Similarity NPC256656
0.8611 High Similarity NPC294278
0.8611 High Similarity NPC477723
0.8235 Intermediate Similarity NPC55383
0.7561 Intermediate Similarity NPC473896
0.7561 Intermediate Similarity NPC473735
0.7561 Intermediate Similarity NPC329608
0.7381 Intermediate Similarity NPC473847
0.7381 Intermediate Similarity NPC473721
0.7381 Intermediate Similarity NPC473725
0.7381 Intermediate Similarity NPC473910
0.7381 Intermediate Similarity NPC475384
0.7381 Intermediate Similarity NPC473532
0.725 Intermediate Similarity NPC48058
0.7045 Intermediate Similarity NPC473652
0.6905 Remote Similarity NPC224148
0.6596 Remote Similarity NPC168407
0.6579 Remote Similarity NPC477727
0.6364 Remote Similarity NPC170776
0.6364 Remote Similarity NPC9273
0.6364 Remote Similarity NPC165447
0.6364 Remote Similarity NPC471959
0.6364 Remote Similarity NPC199286
0.6364 Remote Similarity NPC489046
0.6364 Remote Similarity NPC76198
0.6364 Remote Similarity NPC610719
0.6341 Remote Similarity NPC26102
0.6341 Remote Similarity NPC477724
0.6176 Remote Similarity NPC607242
0.6136 Remote Similarity NPC477725
0.6061 Remote Similarity NPC125122
0.6061 Remote Similarity NPC471276
0.6061 Remote Similarity NPC471280
0.6061 Remote Similarity NPC471281
0.5897 Remote Similarity NPC161838
0.5833 Remote Similarity NPC474642
0.5833 Remote Similarity NPC473913
0.566 Remote Similarity NPC48968
0.5556 Remote Similarity NPC249670
0.5532 Remote Similarity NPC311648
0.5435 Remote Similarity NPC477726
0.54 Remote Similarity NPC470967
0.54 Remote Similarity NPC470968
0.537 Remote Similarity NPC594
0.5366 Remote Similarity NPC471960
0.5319 Remote Similarity NPC470969
0.5294 Remote Similarity NPC474513
0.5294 Remote Similarity NPC601905
0.5294 Remote Similarity NPC603973
0.5238 Remote Similarity NPC187361
0.52 Remote Similarity NPC470964
0.5135 Remote Similarity NPC62779
0.5128 Remote Similarity NPC329762
0.5128 Remote Similarity NPC474644
0.5102 Remote Similarity NPC152668

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC197272 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