Natural Product: NPC303069

Natural Product IDNPC303069
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Parvispinoside A
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL525242
PubChem CID 11693833
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 PYVSHVUPVKOSBE-IYPSILRGSA-N
Standard InCHI InChI=1S/C56H94O29/c1-20(18-75-49-43(71)39(67)36(64)30(14-57)78-49)7-10-56(74)21(2)34-29(85-56)12-25-23-6-5-22-11-28(26(61)13-55(22,4)24(23)8-9-54(25,34)3)77-51-45(73)41(69)46(33(17-60)81-51)82-53-48(84-52-44(72)40(68)37(65)31(15-58)79-52)47(38(66)32(16-59)80-53)83-50-42(70)35(63)27(62)19-76-50/h20-53,57-74H,5-19H2,1-4H3/t20-,21+,22+,23-,24+,25+,26-,27-,28-,29+,30-,31-,32-,33-,34+,35+,36-,37+,38-,39+,40+,41-,42-,43-,44-,45-,46+,47+,48-,49-,50+,51-,52+,53+,54+,55+,56-/m1/s1
SMILES C[C@H](CC[C@@]1([C@@H](C)[C@H]2[C@H](C[C@H]3[C@@H]4CC[C@H]5C[C@H]([C@@H](C[C@]5(C)[C@H]4CC[C@]23C)O)O[C@H]2[C@@H]([C@H]([C@H]([C@@H](CO)O2)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O[C@H]2[C@@H]([C@H]([C@H]([C@@H](CO)O2)O)O)O)O)O)O1)O)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)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
NPO33193 tribulus parvispinus Species n.a. Eukaryota n.a. n.a. n.a. PMID[16252924]

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
NPT83 Cell line MCF7 Homo sapiens IC50 > 100000.0 nM PMID[20634081]
NPT65 Cell line HepG2 Homo sapiens IC50 > 100000.0 nM PMID[18494522]
NPT466 Cell line U-937 Homo sapiens IC50 = 30000.0 nM PMID[17253840]
NPT466 Cell line U-937 Homo sapiens Activity = 28.0 % PMID[15497933]
NPT466 Cell line U-937 Homo sapiens Activity = 32.0 % PMID[19349512]

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 NPC303069 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 NPC51520
0.8788 High Similarity NPC470861
0.8485 Intermediate Similarity NPC98018
0.8485 Intermediate Similarity NPC284104
0.8485 Intermediate Similarity NPC103616
0.7925 Intermediate Similarity NPC84111
0.7925 Intermediate Similarity NPC287483
0.7925 Intermediate Similarity NPC470865
0.7642 Intermediate Similarity NPC232611
0.7524 Intermediate Similarity NPC115165
0.7453 Intermediate Similarity NPC470863
0.7273 Intermediate Similarity NPC92297
0.6838 Remote Similarity NPC273002
0.6792 Remote Similarity NPC473601
0.6726 Remote Similarity NPC470862
0.6637 Remote Similarity NPC218571
0.6637 Remote Similarity NPC487615
0.6637 Remote Similarity NPC92710
0.6607 Remote Similarity NPC473518
0.646 Remote Similarity NPC116756
0.6435 Remote Similarity NPC83137
0.6339 Remote Similarity NPC97700
0.6339 Remote Similarity NPC30856
0.625 Remote Similarity NPC151134
0.6195 Remote Similarity NPC102016
0.6195 Remote Similarity NPC95051
0.6083 Remote Similarity NPC470866
0.6083 Remote Similarity NPC470867
0.6083 Remote Similarity NPC262050
0.6058 Remote Similarity NPC291203
0.6058 Remote Similarity NPC217205
0.5966 Remote Similarity NPC132080
0.5917 Remote Similarity NPC31896
0.5854 Remote Similarity NPC248202
0.5804 Remote Similarity NPC475351
0.5798 Remote Similarity NPC249265
0.5725 Remote Similarity NPC330026
0.5714 Remote Similarity NPC232037
0.5703 Remote Similarity NPC263359
0.5669 Remote Similarity NPC208832
0.5667 Remote Similarity NPC470864
0.5591 Remote Similarity NPC210569
0.5583 Remote Similarity NPC197003
0.5577 Remote Similarity NPC485600
0.5574 Remote Similarity NPC233433
0.5574 Remote Similarity NPC256983
0.5446 Remote Similarity NPC485601
0.5417 Remote Similarity NPC247037
0.5378 Remote Similarity NPC73243
0.5378 Remote Similarity NPC244086
0.5378 Remote Similarity NPC184617
0.5378 Remote Similarity NPC84956
0.537 Remote Similarity NPC485602
0.5366 Remote Similarity NPC23808
0.5366 Remote Similarity NPC87998
0.5339 Remote Similarity NPC51172
0.5339 Remote Similarity NPC49032
0.5304 Remote Similarity NPC485599
0.5299 Remote Similarity NPC481190
0.5276 Remote Similarity NPC190939
0.5271 Remote Similarity NPC220836
0.5242 Remote Similarity NPC476112
0.5242 Remote Similarity NPC307534
0.5227 Remote Similarity NPC244431
0.5217 Remote Similarity NPC195297
0.518 Remote Similarity NPC329820
0.5179 Remote Similarity NPC206003
0.5179 Remote Similarity NPC473610
0.5133 Remote Similarity NPC476538
0.5133 Remote Similarity NPC476539
0.5122 Remote Similarity NPC475625
0.5118 Remote Similarity NPC167183
0.5115 Remote Similarity NPC79900
0.5089 Remote Similarity NPC250393
0.5085 Remote Similarity NPC98696
0.5082 Remote Similarity NPC475319
0.5045 Remote Similarity NPC294686
0.5044 Remote Similarity NPC476540
0.5044 Remote Similarity NPC476541
0.5039 Remote Similarity NPC94086
0.5039 Remote Similarity NPC473817

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC303069 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