Natural Product: NPC488782

Natural Product IDNPC488782
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MIBQGVWGYOOZBJ-VQNUZOFZSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44559886
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 MIBQGVWGYOOZBJ-VQNUZOFZSA-N
Standard InCHI InChI=1S/C53H88O21/c1-23-32(57)36(61)39(64)43(68-23)74-42-38(63)34(59)25(20-55)70-46(42)71-26-21-66-45(41(35(26)60)73-44-40(65)37(62)33(58)24(19-54)69-44)72-31-11-12-49(6)27(48(31,4)5)9-13-50(7)28(49)10-14-53-29-17-47(2,3)15-16-52(29,22-67-53)30(56)18-51(50,53)8/h23-46,54-65H,9-22H2,1-8H3/t23-,24-,25-,26+,27+,28-,29-,30-,31+,32-,33-,34-,35+,36+,37+,38+,39+,40-,41-,42-,43+,44+,45+,46+,49+,50-,51+,52-,53+/m1/s1
SMILES C[C@@H]1[C@H]([C@@H]([C@@H]([C@@H](O1)O[C@@H]1[C@H]([C@@H]([C@@H](CO)O[C@H]1O[C@H]1CO[C@H]([C@@H]([C@H]1O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O[C@H]1CC[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC[C@]24[C@@H]5CC(C)(C)CC[C@]5(CO4)[C@@H](C[C@@]32C)O)C1(C)C)O)O)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
NPO30884 Myrsine australis Species Primulaceae Eukaryota n.a. twig n.a. PMID[7807121]
NPO30884 Myrsine australis Species Primulaceae Eukaryota n.a. leaf n.a. PMID[7807121]
NPO30884 Myrsine australis Species Primulaceae Eukaryota Leaves n.a. n.a. PMID[8676128]

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
NPT2 Others Unspecified n.a. IC50 = 2000.0 nM PMID[8676128]
NPT2 Others Unspecified n.a. IC50 = 24000.0 nM PMID[8676128]

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 NPC488782 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 NPC253611
0.9184 High Similarity NPC209798
0.9062 High Similarity NPC267238
0.9062 High Similarity NPC77717
0.8969 High Similarity NPC40716
0.8913 High Similarity NPC18724
0.8646 High Similarity NPC171741
0.84 Intermediate Similarity NPC148593
0.8381 Intermediate Similarity NPC471425
0.8235 Intermediate Similarity NPC138219
0.8235 Intermediate Similarity NPC475234
0.8095 Intermediate Similarity NPC126753
0.8041 Intermediate Similarity NPC224003
0.8039 Intermediate Similarity NPC471373
0.8 Intermediate Similarity NPC471424
0.7961 Intermediate Similarity NPC184805
0.7959 Intermediate Similarity NPC158051
0.7843 Intermediate Similarity NPC158367
0.781 Intermediate Similarity NPC473688
0.7767 Intermediate Similarity NPC470623
0.7727 Intermediate Similarity NPC471429
0.7679 Intermediate Similarity NPC471426
0.7658 Intermediate Similarity NPC231566
0.7636 Intermediate Similarity NPC189575
0.7624 Intermediate Similarity NPC323231
0.7547 Intermediate Similarity NPC475630
0.7522 Intermediate Similarity NPC471427
0.7477 Intermediate Similarity NPC471375
0.7434 Intermediate Similarity NPC106701
0.7429 Intermediate Similarity NPC207693
0.7407 Intermediate Similarity NPC51579
0.7364 Intermediate Similarity NPC205129
0.7358 Intermediate Similarity NPC157571
0.7297 Intermediate Similarity NPC262567
0.7241 Intermediate Similarity NPC471626
0.7222 Intermediate Similarity NPC273189
0.7119 Intermediate Similarity NPC471428
0.7094 Intermediate Similarity NPC471431
0.6916 Remote Similarity NPC119628
0.6847 Remote Similarity NPC471374
0.6842 Remote Similarity NPC470622
0.6283 Remote Similarity NPC87393
0.623 Remote Similarity NPC471430
0.6148 Remote Similarity NPC22709
0.5877 Remote Similarity NPC123796
0.5664 Remote Similarity NPC157474
0.5614 Remote Similarity NPC600293
0.5603 Remote Similarity NPC476305
0.5528 Remote Similarity NPC477465
0.5508 Remote Similarity NPC78034
0.5495 Remote Similarity NPC285253
0.547 Remote Similarity NPC267637
0.5462 Remote Similarity NPC606145
0.5447 Remote Similarity NPC151543
0.5366 Remote Similarity NPC607904
0.5285 Remote Similarity NPC185466
0.5246 Remote Similarity NPC609281
0.5242 Remote Similarity NPC610204
0.5242 Remote Similarity NPC610461
0.5221 Remote Similarity NPC80640
0.5214 Remote Similarity NPC204392
0.521 Remote Similarity NPC257468
0.5197 Remote Similarity NPC66513
0.5169 Remote Similarity NPC148603
0.5118 Remote Similarity NPC603137
0.5081 Remote Similarity NPC470915
0.5042 Remote Similarity NPC173859
0.5041 Remote Similarity NPC471435
0.5041 Remote Similarity NPC471434

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488782 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