Natural Product: NPC99020

Natural Product IDNPC99020
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YJVMDLQSCPBESM-ZZAAMMQTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21578112
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 YJVMDLQSCPBESM-ZZAAMMQTSA-N
Standard InCHI InChI=1S/C30H48O3/c1-25(2)14-15-30(18-31)20(16-25)19-8-9-22-27(5)12-11-23(32)26(3,4)21(27)10-13-28(22,6)29(19,7)17-24(30)33/h8,20-23,31-32H,9-18H2,1-7H3/t20-,21-,22+,23-,27-,28+,29+,30+/m0/s1
SMILES CC1(C)CC[C@@]2(CO)[C@@H](C1)C1=CC[C@@H]3[C@@]4(C)CC[C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)CC2=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
NPO21437 Rhododendron aureum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20080 Lepisorus thunbergianus Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21437 Rhododendron aureum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20080 Lepisorus thunbergianus Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20080 Lepisorus thunbergianus Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21437 Rhododendron aureum Species Ericaceae 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 NPC99020 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
0.7167 Intermediate Similarity NPC101475
0.7049 Intermediate Similarity NPC235341
0.7049 Intermediate Similarity NPC253807
0.7049 Intermediate Similarity NPC158662
0.6949 Remote Similarity NPC290598
0.6949 Remote Similarity NPC30590
0.6719 Remote Similarity NPC246708
0.6613 Remote Similarity NPC311078
0.6613 Remote Similarity NPC34177
0.6418 Remote Similarity NPC488519
0.6349 Remote Similarity NPC196753
0.6269 Remote Similarity NPC213412
0.6269 Remote Similarity NPC2539
0.625 Remote Similarity NPC480924
0.6154 Remote Similarity NPC470588
0.6056 Remote Similarity NPC294360
0.5938 Remote Similarity NPC474989
0.5909 Remote Similarity NPC159168
0.5854 Remote Similarity NPC480937
0.5758 Remote Similarity NPC475862
0.5714 Remote Similarity NPC480934
0.5672 Remote Similarity NPC238992
0.5672 Remote Similarity NPC3915
0.5641 Remote Similarity NPC167383
0.5571 Remote Similarity NPC480946
0.5571 Remote Similarity NPC130577
0.5571 Remote Similarity NPC142415
0.5571 Remote Similarity NPC102683
0.5556 Remote Similarity NPC164349
0.5479 Remote Similarity NPC480919
0.5441 Remote Similarity NPC230295
0.5441 Remote Similarity NPC53744
0.5441 Remote Similarity NPC98386
0.5395 Remote Similarity NPC283343
0.5385 Remote Similarity NPC27765
0.5385 Remote Similarity NPC122418
0.5385 Remote Similarity NPC491014
0.5373 Remote Similarity NPC237344
0.5362 Remote Similarity NPC480950
0.5352 Remote Similarity NPC198664
0.5342 Remote Similarity NPC49776
0.5342 Remote Similarity NPC63118
0.5342 Remote Similarity NPC474436
0.5325 Remote Similarity NPC473160
0.5303 Remote Similarity NPC142754
0.5294 Remote Similarity NPC40394
0.5278 Remote Similarity NPC7260
0.5278 Remote Similarity NPC182797
0.5278 Remote Similarity NPC210037
0.5278 Remote Similarity NPC120968
0.5278 Remote Similarity NPC171203
0.5278 Remote Similarity NPC307426
0.5278 Remote Similarity NPC98442
0.5278 Remote Similarity NPC242468
0.5278 Remote Similarity NPC227467
0.5278 Remote Similarity NPC273621
0.5278 Remote Similarity NPC52169
0.5278 Remote Similarity NPC488562
0.5256 Remote Similarity NPC480920
0.5217 Remote Similarity NPC95594
0.5195 Remote Similarity NPC273668
0.5152 Remote Similarity NPC120098
0.5139 Remote Similarity NPC187722
0.5139 Remote Similarity NPC191965
0.5139 Remote Similarity NPC136313
0.5135 Remote Similarity NPC228784
0.5135 Remote Similarity NPC324341
0.5135 Remote Similarity NPC601810
0.5122 Remote Similarity NPC237503
0.5072 Remote Similarity NPC478657
0.507 Remote Similarity NPC40552
0.5068 Remote Similarity NPC51700
0.5068 Remote Similarity NPC88716
0.5068 Remote Similarity NPC68160
0.5068 Remote Similarity NPC112866
0.5063 Remote Similarity NPC480921

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC99020 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
0.5493 Remote Similarity NPD7645 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