Natural Product: NPC295885

Natural Product IDNPC295885
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Yadanzioside C
IUPAC Name n.a.
Synonyms Yadanzioside C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL499465
PubChem CID 44584515
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0002119] Quassinoids

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 HOEZNQMKHRGGTI-HLPBMULKSA-N
Standard InCHI InChI=1S/C34H46O17/c1-12(31(3,4)45)7-18(36)51-24-26-33-11-47-34(26,30(44)46-6)27(42)23(41)25(33)32(5)9-15(19(37)13(2)14(32)8-17(33)50-28(24)43)48-29-22(40)21(39)20(38)16(10-35)49-29/h7,9,13-14,16-17,20-27,29,35,38-42,45H,8,10-11H2,1-6H3/b12-7+/t13-,14-,16+,17+,20+,21-,22+,23+,24+,25+,26+,27-,29+,32-,33+,34+/m0/s1
SMILES OC[C@H]1O[C@@H](OC2=C[C@@]3(C)[C@H]([C@@H](C2=O)C)C[C@@H]2[C@@]45[C@@H]3[C@@H](O)[C@H](O)[C@@]([C@@H]5[C@H](C(=O)O2)OC(=O)/C=C(/C(O)(C)C)C)(OC4)C(=O)OC)[C@@H]([C@H]([C@@H]1O)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
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. seed n.a. DOI[10.1016/0031-9422(96)00258-0]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. fruit n.a. DOI[10.1016/S1383-5769(99)00023-9]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[10086989]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[1512598]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[15165151]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota fruit Indonesia n.a. PMID[17896817]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. Vietnam n.a. PMID[19026551]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota seeds n.a. n.a. PMID[20050684]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[22506620]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[6481366]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[7561896]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14948 Brucea javanica Species Simaroubaceae 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
NPT759 Cell line H9 Homo sapiens IC50 = 55000.0 nM DOI[10.1016/0960-894X(96)00096-0]

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 NPC295885 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
0.9294 High Similarity NPC190065
0.9205 High Similarity NPC140045
0.908 High Similarity NPC141215
0.8977 High Similarity NPC479019
0.8706 High Similarity NPC475636
0.8587 High Similarity NPC471089
0.8523 High Similarity NPC602216
0.8065 Intermediate Similarity NPC54614
0.73 Intermediate Similarity NPC102465
0.7172 Intermediate Similarity NPC251998
0.7143 Intermediate Similarity NPC480779
0.6863 Remote Similarity NPC480778
0.6837 Remote Similarity NPC596
0.6735 Remote Similarity NPC309096
0.66 Remote Similarity NPC262813
0.6471 Remote Similarity NPC480789
0.6147 Remote Similarity NPC480790
0.61 Remote Similarity NPC87662
0.5905 Remote Similarity NPC295220
0.5714 Remote Similarity NPC476729
0.5684 Remote Similarity NPC476008
0.567 Remote Similarity NPC67251
0.5521 Remote Similarity NPC146432
0.5521 Remote Similarity NPC470778
0.5484 Remote Similarity NPC213084
0.5474 Remote Similarity NPC479018
0.5354 Remote Similarity NPC480787
0.5312 Remote Similarity NPC89929
0.52 Remote Similarity NPC480785
0.52 Remote Similarity NPC480784
0.5152 Remote Similarity NPC18945
0.5152 Remote Similarity NPC152301
0.5149 Remote Similarity NPC94509
0.5146 Remote Similarity NPC470779
0.51 Remote Similarity NPC190185

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC295885 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