Natural Product: NPC102822

Natural Product IDNPC102822
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MOCOVNGOINOTNW-XXJDAYKBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3317744
PubChem CID n.a.
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 MOCOVNGOINOTNW-XXJDAYKBSA-N
Standard InCHI InChI=1S/C20H24O10/c1-7-3-9(21)11(22)16(2)8(7)4-10-17-5-29-19(26,14(16)17)15(25)18(6-28-18)20(17,27)12(23)13(24)30-10/h3,8,10-12,14-15,22-23,25-27H,4-6H2,1-2H3/t8-,10+,11+,12-,14+,15+,16+,17+,18-,19-,20-/m0/s1
SMILES CC1=CC(=O)[C@H]([C@]2([C@H]1C[C@H]1OC(=O)[C@@H]([C@@]3([C@]41[C@@H]2[C@](O)(OC4)[C@@H]([C@]13CO1)O)O)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
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota Roots n.a. n.a. PMID[14575431]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. root n.a. PMID[1800638]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota roots n.a. n.a. PMID[19299148]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[19919052]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[24467387]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota roots n.a. n.a. PMID[25066952]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[25905468]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9965 Eurycoma longifolia Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9965 Eurycoma longifolia 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
NPT81 Cell line A549 Homo sapiens Activity = 96.21 % PMID[19715321]
NPT81 Cell line A549 Homo sapiens Activity = 102.0 % PMID[19761234]
NPT81 Cell line A549 Homo sapiens Activity = 99.1 % PMID[9134742]
NPT165 Cell line HeLa Homo sapiens Activity = 101.0 % PMID[19124664]
NPT165 Cell line HeLa Homo sapiens Activity = 61.66 % PubChem BioAssay data set
NPT180 Cell line HCT-8 Homo sapiens Activity = 100.88 % PMID[36399766]
NPT2311 Cell line Calu-3 Homo sapiens CC50 > 100000.0 nM PMID[36399766]
NPT171 Cell line MRC5 Homo sapiens CC50 > 100000.0 nM PMID[36399766]
NPT180 Cell line HCT-8 Homo sapiens CC50 > 100000.0 nM PMID[36399766]
NPT65 Cell line HepG2 Homo sapiens CC50 > 100000.0 nM PMID[36399766]
NPT20555 Organism SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 IC50 = 9390.0 nM PMID[36399766]
NPT28438 Unchecked Unchecked n.a. Activity = 61.73 % PMID[36399766]
NPT20555 Organism SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 IC50 = 3.98 ug.mL-1 PMID[36399766]
NPT28438 Unchecked Unchecked n.a. IC50 = 5880.0 nM PMID[36399766]
NPT30043 Cell line Vero Chlorocebus sabaeus CC50 > 100000.0 nM PMID[36399766]

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 NPC102822 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
0.7188 Intermediate Similarity NPC188667
0.7188 Intermediate Similarity NPC204552
0.7188 Intermediate Similarity NPC482434
0.7188 Intermediate Similarity NPC610747
0.7077 Intermediate Similarity NPC112038
0.6324 Remote Similarity NPC97908
0.6232 Remote Similarity NPC287343
0.6232 Remote Similarity NPC474654
0.5714 Remote Similarity NPC11252
0.5714 Remote Similarity NPC289312
0.5694 Remote Similarity NPC482435
0.5652 Remote Similarity NPC604470
0.5507 Remote Similarity NPC201992
0.5429 Remote Similarity NPC51978
0.5417 Remote Similarity NPC485622
0.5417 Remote Similarity NPC604056
0.5352 Remote Similarity NPC469488
0.5263 Remote Similarity NPC485625
0.5195 Remote Similarity NPC235539
0.5072 Remote Similarity NPC208998
0.5065 Remote Similarity NPC18547
0.5065 Remote Similarity NPC474906
0.5063 Remote Similarity NPC297179

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC102822 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