Natural Product: NPC469431

Natural Product IDNPC469431
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YEKZYRCPUZIPAI-AWJWSBBDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 46883014
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 YEKZYRCPUZIPAI-AWJWSBBDSA-N
Standard InCHI InChI=1S/C39H62O14/c1-17-7-10-39(48-16-17)18(2)28-24(53-39)12-23-21-6-5-19-11-20(8-9-37(19,3)22(21)13-27(42)38(23,28)4)49-35-33(47)31(45)34(26(15-41)51-35)52-36-32(46)30(44)29(43)25(14-40)50-36/h17-26,28-36,40-41,43-47H,5-16H2,1-4H3/t17-,18+,19-,20+,21-,22+,23+,24+,25-,26-,28+,29-,30+,31-,32-,33-,34-,35-,36+,37+,38-,39-/m1/s1
SMILES CC1CCC2(C(C3C(O2)CC4C3(C(=O)CC5C4CCC6C5(CCC(C6)OC7C(C(C(C(O7)CO)OC8C(C(C(C(O8)CO)O)O)O)O)O)C)C)C)OC1

  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
NPO16699 Agave utahensis Species Asparagaceae Eukaryota n.a. n.a. n.a. PMID[19645463]
NPO16699 Agave utahensis Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16699 Agave utahensis Species Asparagaceae 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 NPC469431 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
0.8989 High Similarity NPC92890
0.8265 Intermediate Similarity NPC233433
0.8235 Intermediate Similarity NPC325828
0.7714 Intermediate Similarity NPC220836
0.7475 Intermediate Similarity NPC475319
0.7429 Intermediate Similarity NPC94086
0.7429 Intermediate Similarity NPC473817
0.7419 Intermediate Similarity NPC107962
0.7396 Intermediate Similarity NPC202898
0.7234 Intermediate Similarity NPC215408
0.7174 Intermediate Similarity NPC250393
0.7021 Intermediate Similarity NPC107188
0.6863 Remote Similarity NPC97700
0.6863 Remote Similarity NPC184617
0.6863 Remote Similarity NPC30856
0.6832 Remote Similarity NPC249553
0.6633 Remote Similarity NPC6295
0.6596 Remote Similarity NPC234352
0.6562 Remote Similarity NPC206003
0.6562 Remote Similarity NPC473610
0.6542 Remote Similarity NPC108072
0.6489 Remote Similarity NPC297348
0.6489 Remote Similarity NPC249204
0.6489 Remote Similarity NPC48339
0.6489 Remote Similarity NPC141769
0.6489 Remote Similarity NPC477547
0.6422 Remote Similarity NPC132080
0.6327 Remote Similarity NPC19400
0.6204 Remote Similarity NPC475625
0.6204 Remote Similarity NPC116756
0.619 Remote Similarity NPC182900
0.6186 Remote Similarity NPC477451
0.6176 Remote Similarity NPC160426
0.6162 Remote Similarity NPC211354
0.6147 Remote Similarity NPC232037
0.6139 Remote Similarity NPC470432
0.6139 Remote Similarity NPC230507
0.6126 Remote Similarity NPC92297
0.6117 Remote Similarity NPC475351
0.6102 Remote Similarity NPC305771
0.6102 Remote Similarity NPC94072
0.6102 Remote Similarity NPC169816
0.6091 Remote Similarity NPC470864
0.5943 Remote Similarity NPC477809
0.5938 Remote Similarity NPC485594
0.5909 Remote Similarity NPC161035
0.5909 Remote Similarity NPC170438
0.5847 Remote Similarity NPC15918
0.5833 Remote Similarity NPC128572
0.5826 Remote Similarity NPC470866
0.5816 Remote Similarity NPC177834
0.5763 Remote Similarity NPC273002
0.5741 Remote Similarity NPC6806
0.5727 Remote Similarity NPC115165
0.5714 Remote Similarity NPC181845
0.5702 Remote Similarity NPC477811
0.5673 Remote Similarity NPC125324
0.5619 Remote Similarity NPC195297
0.5614 Remote Similarity NPC83137
0.5607 Remote Similarity NPC161738
0.5588 Remote Similarity NPC121453
0.5556 Remote Similarity NPC475643
0.5524 Remote Similarity NPC485595
0.5455 Remote Similarity NPC471464
0.5446 Remote Similarity NPC294686
0.5417 Remote Similarity NPC473505
0.5408 Remote Similarity NPC24960
0.5405 Remote Similarity NPC480555
0.5405 Remote Similarity NPC150372
0.5345 Remote Similarity NPC476112
0.5345 Remote Similarity NPC307534
0.5315 Remote Similarity NPC51172
0.5315 Remote Similarity NPC49032
0.5263 Remote Similarity NPC475550
0.5217 Remote Similarity NPC473518
0.5192 Remote Similarity NPC222731
0.5189 Remote Similarity NPC264101
0.5182 Remote Similarity NPC473601
0.5179 Remote Similarity NPC300557
0.5172 Remote Similarity NPC232611
0.5164 Remote Similarity NPC477807
0.5135 Remote Similarity NPC470433
0.5135 Remote Similarity NPC46190
0.5135 Remote Similarity NPC171073
0.513 Remote Similarity NPC269297
0.513 Remote Similarity NPC222202
0.5126 Remote Similarity NPC31896
0.5102 Remote Similarity NPC277715
0.5088 Remote Similarity NPC98018
0.5088 Remote Similarity NPC284104
0.5088 Remote Similarity NPC103616
0.5085 Remote Similarity NPC470862
0.5048 Remote Similarity NPC474399
0.5042 Remote Similarity NPC480553

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469431 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
0.8235 Intermediate Similarity NPD8171 Phase 2
0.7717 Intermediate Similarity NPD8170 Phase 2

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