Natural Product: NPC272429

Natural Product IDNPC272429
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MPCHZOWHCQRJSL-GQYKADHISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101590882
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000175] Glycerolipids
        • [CHEMONTID:0000637] Glycosylglycerols
          • [CHEMONTID:0003822] Glycosyldiradylglycerols
            • [CHEMONTID:0003067] Glycosyldiacylglycerols
              • [CHEMONTID:0003259] 1,2-diacyl-3-O-beta-D-galactosyl-sn-glycerols

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 MPCHZOWHCQRJSL-GQYKADHISA-N
Standard InCHI InChI=1S/C41H74O10/c1-3-5-7-9-11-13-15-16-17-18-20-21-23-25-27-29-36(43)48-32-34(33-49-41-40(47)39(46)38(45)35(31-42)51-41)50-37(44)30-28-26-24-22-19-14-12-10-8-6-4-2/h11,13,16-17,34-35,38-42,45-47H,3-10,12,14-15,18-33H2,1-2H3/b13-11-,17-16-/t34-,35-,38+,39+,40-,41-/m1/s1
SMILES CCCCC/C=CC/C=CCCCCCCCC(=O)OC[C@H](CO[C@H]1[C@@H]([C@H]([C@H]([C@@H](CO)O1)O)O)O)OC(=O)CCCCCCCCCCCCC

  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
NPO15967 Penicillium urticae Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[836020]
NPO14701 Monodora angolensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8155 Lepidonia jonesii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15967 Penicillium urticae Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14701 Monodora angolensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15967 Penicillium urticae Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8155 Lepidonia jonesii Species Asteraceae 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

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 NPC272429 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 NPC21693
0.9455 High Similarity NPC488689
0.9298 High Similarity NPC236649
0.8983 High Similarity NPC110813
0.8871 High Similarity NPC470313
0.8871 High Similarity NPC473500
0.8871 High Similarity NPC611497
0.8667 High Similarity NPC156089
0.8548 High Similarity NPC38295
0.8364 Intermediate Similarity NPC488690
0.8361 Intermediate Similarity NPC133377
0.7681 Intermediate Similarity NPC22558
0.7576 Intermediate Similarity NPC488692
0.7121 Intermediate Similarity NPC488694
0.6545 Remote Similarity NPC54925
0.6508 Remote Similarity NPC83839
0.6389 Remote Similarity NPC476612
0.6389 Remote Similarity NPC476613
0.6308 Remote Similarity NPC489083
0.6212 Remote Similarity NPC488693
0.6119 Remote Similarity NPC331437
0.6102 Remote Similarity NPC473559
0.6102 Remote Similarity NPC324981
0.5974 Remote Similarity NPC476611
0.5902 Remote Similarity NPC206601
0.5789 Remote Similarity NPC330426
0.5789 Remote Similarity NPC127091
0.5789 Remote Similarity NPC22101
0.5625 Remote Similarity NPC285003
0.5606 Remote Similarity NPC469469
0.5593 Remote Similarity NPC48218
0.5593 Remote Similarity NPC141481
0.5593 Remote Similarity NPC464342
0.5526 Remote Similarity NPC488691
0.5469 Remote Similarity NPC12040
0.5345 Remote Similarity NPC321919
0.5263 Remote Similarity NPC104537
0.5254 Remote Similarity NPC271921
0.5217 Remote Similarity NPC163812
0.5135 Remote Similarity NPC282705
0.5135 Remote Similarity NPC263545
0.5135 Remote Similarity NPC242503
0.5135 Remote Similarity NPC182632
0.5135 Remote Similarity NPC473950
0.5135 Remote Similarity NPC111567
0.5135 Remote Similarity NPC186840
0.5135 Remote Similarity NPC144916
0.5135 Remote Similarity NPC486421
0.5135 Remote Similarity NPC309898
0.5135 Remote Similarity NPC273493
0.5135 Remote Similarity NPC475125
0.5135 Remote Similarity NPC486419
0.5135 Remote Similarity NPC15851
0.5135 Remote Similarity NPC115448
0.5135 Remote Similarity NPC20819
0.5135 Remote Similarity NPC486418
0.5135 Remote Similarity NPC473604
0.5135 Remote Similarity NPC486420
0.5135 Remote Similarity NPC479188
0.5135 Remote Similarity NPC81468
0.5085 Remote Similarity NPC475443
0.5085 Remote Similarity NPC473829
0.5072 Remote Similarity NPC250619
0.5068 Remote Similarity NPC43074
0.5068 Remote Similarity NPC139782
0.5068 Remote Similarity NPC74672
0.5068 Remote Similarity NPC61894
0.5068 Remote Similarity NPC209047
0.5068 Remote Similarity NPC297079

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC272429 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
0.5068 Remote Similarity NPD8522 Clinical (unspecified phase)

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