Natural Product: NPC118900

Natural Product IDNPC118900
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VZYCYPQHUZOSIT-CVYQUFBZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

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 VZYCYPQHUZOSIT-CVYQUFBZSA-N
Standard InCHI InChI=1S/C39H60O16/c1-16(42)21-7-8-22-20-6-5-18-13-19(9-11-38(18,3)23(20)10-12-39(21,22)4)51-37-34(55-35-31(48)29(46)26(43)17(2)50-35)33(28(45)25(15-41)53-37)54-36-32(49)30(47)27(44)24(14-40)52-36/h5,7,17,19-20,22-37,40-41,43-49H,6,8-15H2,1-4H3/t17-,19-,20-,22-,23-,24-,25+,26-,27-,28+,29+,30+,31+,32-,33-,34+,35-,36-,37+,38-,39+/m0/s1
SMILES CC(=O)C1=CC[C@H]2[C@@H]3CC=C4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O[C@H]1[C@H]([C@@H]([C@H]([C@H](CO)O1)O)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)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
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7802 Dacrycarpus vieillardii Species Podocarpaceae 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 NPC118900 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
0.7683 Intermediate Similarity NPC165439
0.6701 Remote Similarity NPC48886
0.6701 Remote Similarity NPC300557
0.6701 Remote Similarity NPC94881
0.6633 Remote Similarity NPC150057
0.6633 Remote Similarity NPC147753
0.6566 Remote Similarity NPC102016
0.6566 Remote Similarity NPC95051
0.6535 Remote Similarity NPC309278
0.6495 Remote Similarity NPC602423
0.625 Remote Similarity NPC218571
0.625 Remote Similarity NPC487615
0.6238 Remote Similarity NPC308459
0.5816 Remote Similarity NPC306991
0.5816 Remote Similarity NPC94272
0.5673 Remote Similarity NPC475182
0.5517 Remote Similarity NPC22140
0.5517 Remote Similarity NPC243728
0.5517 Remote Similarity NPC158088
0.5484 Remote Similarity NPC486114
0.5455 Remote Similarity NPC600456
0.5437 Remote Similarity NPC40440
0.5437 Remote Similarity NPC486388
0.5405 Remote Similarity NPC477811
0.5393 Remote Similarity NPC282669
0.5392 Remote Similarity NPC470748
0.5377 Remote Similarity NPC480555
0.5377 Remote Similarity NPC150372
0.537 Remote Similarity NPC486386
0.5345 Remote Similarity NPC477808
0.5327 Remote Similarity NPC73243
0.5327 Remote Similarity NPC244086
0.5327 Remote Similarity NPC84956
0.5312 Remote Similarity NPC272015
0.5288 Remote Similarity NPC98696
0.5283 Remote Similarity NPC124677
0.5273 Remote Similarity NPC194207
0.5273 Remote Similarity NPC197003
0.5273 Remote Similarity NPC22779
0.5273 Remote Similarity NPC254255
0.5243 Remote Similarity NPC305423
0.5243 Remote Similarity NPC113044
0.5243 Remote Similarity NPC283829
0.5243 Remote Similarity NPC161676
0.5243 Remote Similarity NPC600116
0.5229 Remote Similarity NPC247037
0.5182 Remote Similarity NPC13193
0.5158 Remote Similarity NPC296686
0.5143 Remote Similarity NPC42482
0.5133 Remote Similarity NPC480553
0.5128 Remote Similarity NPC609635
0.5114 Remote Similarity NPC473890
0.5098 Remote Similarity NPC295980
0.5094 Remote Similarity NPC470433
0.5094 Remote Similarity NPC46190
0.5094 Remote Similarity NPC265275
0.5094 Remote Similarity NPC171073
0.5089 Remote Similarity NPC249265
0.5047 Remote Similarity NPC248746
0.5047 Remote Similarity NPC122819
0.5044 Remote Similarity NPC23808
0.5044 Remote Similarity NPC87998
0.5043 Remote Similarity NPC232054

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC118900 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
0.6633 Remote Similarity NPD8450 Suspended
0.5047 Remote Similarity NPD8449 Approved

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