Natural Product: NPC500919

Natural Product IDNPC500919
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(25R)-3beta-{O-alpha-L-Rhamnopyranosyl-(1→2)-[O-beta-D-glucopyranosyl-(1→4)-O-alpha-L-rhamnopyranosyl-(1→4)]-beta-D-glucopyranosyl}-22alpha-N-spirosol-5-ene
IUPAC Name (3~{S},4~{S},5~{S},6~{R})-2-[(3~{R},4~{S},5~{S},6~{R})-5-[(3~{S},4~{R},5~{S},6~{R})-3,4-dihydroxy-6-methyl-5-[(3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-4-hydroxy-6-(hydroxymethyl)-2-(5',7,9,13-tetramethylspiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icos-18-ene-6,2'-piperidine]-16-yl)oxy-tetrahydropyran-3-yl]oxy-6-methyl-tetrahydropyran-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 MJTVVRUDYJNHJC-SZAVSVHQSA-N
Standard InCHI InChI=1S/C51H83NO20/c1-20-9-14-51(52-17-20)21(2)32-29(72-51)16-28-26-8-7-24-15-25(10-12-49(24,5)27(26)11-13-50(28,32)6)66-48-44(71-45-38(60)35(57)33(55)22(3)64-45)41(63)43(31(19-54)68-48)70-46-40(62)37(59)42(23(4)65-46)69-47-39(61)36(58)34(56)30(18-53)67-47/h7,20-23,25-48,52-63H,8-19H2,1-6H3/t20?,21?,22-,23-,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?/m1/s1
SMILES CC1CCC2(NC1)OC1CC3C4CC=C5CC(OC6O[C@H](CO)[C@@H](OC7O[C@H](C)[C@@H](OC8O[C@H](CO)[C@@H](O)[C@H](O)[C@H]8O)[C@H](O)[C@@H]7O)[C@H](O)[C@H]6OC6O[C@H](C)[C@@H](O)[C@H](O)[C@@H]6O)CCC5(C)C4CCC3(C)C1C2C

  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
NPO24724 Solanum aculeastrum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24724 Solanum aculeastrum Species Solanaceae 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 NPC500919 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
0.9072 High Similarity NPC122819
0.8148 Intermediate Similarity NPC287885
0.8081 Intermediate Similarity NPC15249
0.8081 Intermediate Similarity NPC25455
0.781 Intermediate Similarity NPC150057
0.781 Intermediate Similarity NPC147753
0.7168 Intermediate Similarity NPC23808
0.7168 Intermediate Similarity NPC87998
0.6887 Remote Similarity NPC94272
0.6814 Remote Similarity NPC269297
0.6814 Remote Similarity NPC222202
0.6752 Remote Similarity NPC308140
0.6667 Remote Similarity NPC247037
0.6637 Remote Similarity NPC73243
0.6637 Remote Similarity NPC244086
0.6637 Remote Similarity NPC84956
0.6549 Remote Similarity NPC480555
0.6549 Remote Similarity NPC150372
0.6356 Remote Similarity NPC249265
0.6341 Remote Similarity NPC224314
0.6283 Remote Similarity NPC470433
0.6283 Remote Similarity NPC46190
0.6283 Remote Similarity NPC171073
0.6271 Remote Similarity NPC194207
0.6271 Remote Similarity NPC22779
0.6261 Remote Similarity NPC475182
0.625 Remote Similarity NPC480553
0.6228 Remote Similarity NPC248746
0.6174 Remote Similarity NPC42171
0.6083 Remote Similarity NPC480554
0.6016 Remote Similarity NPC232054
0.5943 Remote Similarity NPC165439
0.5917 Remote Similarity NPC475333
0.5917 Remote Similarity NPC32361
0.5917 Remote Similarity NPC224098
0.5917 Remote Similarity NPC208383
0.5763 Remote Similarity NPC6806
0.5748 Remote Similarity NPC480556
0.5738 Remote Similarity NPC254255
0.5702 Remote Similarity NPC486386
0.5641 Remote Similarity NPC98696
0.5593 Remote Similarity NPC265275
0.5565 Remote Similarity NPC470432
0.5565 Remote Similarity NPC230507
0.5546 Remote Similarity NPC477809
0.5537 Remote Similarity NPC102016
0.5537 Remote Similarity NPC95051
0.547 Remote Similarity NPC305423
0.547 Remote Similarity NPC113044
0.547 Remote Similarity NPC283829
0.547 Remote Similarity NPC161676
0.5437 Remote Similarity NPC485606
0.5413 Remote Similarity NPC486114
0.5403 Remote Similarity NPC13193
0.5372 Remote Similarity NPC300557
0.5323 Remote Similarity NPC475550
0.5317 Remote Similarity NPC218571
0.5317 Remote Similarity NPC487615
0.5246 Remote Similarity NPC124677
0.5243 Remote Similarity NPC147835
0.5243 Remote Similarity NPC253645
0.5243 Remote Similarity NPC85001
0.5243 Remote Similarity NPC95920
0.5207 Remote Similarity NPC602423
0.5188 Remote Similarity NPC477808
0.5159 Remote Similarity NPC309278
0.5116 Remote Similarity NPC477811
0.5083 Remote Similarity NPC470748
0.5042 Remote Similarity NPC6295

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC500919 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
0.9072 High Similarity NPD8449 Approved
0.781 Intermediate Similarity NPD8450 Suspended

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