Natural Product: NPC60014

Natural Product IDNPC60014
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WDPGVNDSNNDCOT-CRIWHUKNSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 52952751
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene 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 WDPGVNDSNNDCOT-CRIWHUKNSA-N
Standard InCHI InChI=1S/C36H56O10/c1-31(2)11-13-36(30(44)46-29-28(43)27(42)26(41)21(17-37)45-29)14-12-33(4)19(20(36)16-31)7-8-23-34(33,5)10-9-22-32(3,18-38)24(39)15-25(40)35(22,23)6/h7,20-24,26-29,37-39,41-43H,8-18H2,1-6H3/t20-,21+,22-,23-,24-,26+,27-,28+,29-,32-,33+,34+,35-,36-/m0/s1
SMILES CC1(C)CC[C@@]2(CC[C@]3(C)C(=CC[C@H]4[C@@]3(C)CC[C@H]3[C@](C)(CO)[C@H](CC(=O)[C@]43C)O)[C@@H]2C1)C(=O)O[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
NPO6515 Juglans sinensis Species Juglandaceae Eukaryota n.a. twig n.a. PMID[21309591]
NPO6515 Juglans sinensis Species Juglandaceae Eukaryota n.a. leaf n.a. PMID[21309591]
NPO941 Tiliacora triandra Species Menispermaceae Eukaryota n.a. n.a. n.a. PMID[22418278]
NPO26573 Artemisia umbelliformis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO941 Tiliacora triandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28 Cutleria multifida Species Cutleriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4636 Onopordum anatolicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3731 Salix japonica Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5560 Castor fiber Species Castoridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26573 Artemisia umbelliformis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28 Cutleria multifida Species Cutleriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO941 Tiliacora triandra Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26307 Viburnum ayavacense Species Adoxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6515 Juglans sinensis Species Juglandaceae 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 NPC60014 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
0.7875 Intermediate Similarity NPC237503
0.7407 Intermediate Similarity NPC167383
0.7079 Intermediate Similarity NPC29069
0.6744 Remote Similarity NPC306746
0.6552 Remote Similarity NPC199457
0.6489 Remote Similarity NPC235405
0.6477 Remote Similarity NPC68419
0.6421 Remote Similarity NPC249848
0.6421 Remote Similarity NPC107966
0.6413 Remote Similarity NPC214484
0.6374 Remote Similarity NPC209894
0.6354 Remote Similarity NPC295371
0.6354 Remote Similarity NPC473884
0.6277 Remote Similarity NPC48499
0.625 Remote Similarity NPC150400
0.618 Remote Similarity NPC37739
0.6162 Remote Similarity NPC30735
0.6146 Remote Similarity NPC475516
0.6122 Remote Similarity NPC469946
0.6111 Remote Similarity NPC604133
0.6061 Remote Similarity NPC223301
0.6061 Remote Similarity NPC171544
0.604 Remote Similarity NPC235438
0.602 Remote Similarity NPC39211
0.602 Remote Similarity NPC157868
0.5941 Remote Similarity NPC40775
0.5941 Remote Similarity NPC10607
0.5941 Remote Similarity NPC102439
0.5934 Remote Similarity NPC137917
0.5918 Remote Similarity NPC473373
0.59 Remote Similarity NPC192791
0.59 Remote Similarity NPC242840
0.59 Remote Similarity NPC112352
0.5895 Remote Similarity NPC90856
0.5795 Remote Similarity NPC191763
0.5784 Remote Similarity NPC251768
0.5784 Remote Similarity NPC159309
0.5784 Remote Similarity NPC473459
0.5784 Remote Similarity NPC46665
0.5784 Remote Similarity NPC86222
0.5778 Remote Similarity NPC46388
0.5755 Remote Similarity NPC481030
0.5728 Remote Similarity NPC475591
0.5728 Remote Similarity NPC63159
0.5728 Remote Similarity NPC236870
0.5714 Remote Similarity NPC281148
0.5714 Remote Similarity NPC116794
0.5714 Remote Similarity NPC104372
0.5699 Remote Similarity NPC271138
0.5699 Remote Similarity NPC110139
0.5699 Remote Similarity NPC108709
0.5686 Remote Similarity NPC109588
0.5686 Remote Similarity NPC104071
0.5673 Remote Similarity NPC222580
0.5673 Remote Similarity NPC297263
0.5657 Remote Similarity NPC139894
0.5644 Remote Similarity NPC473343
0.5607 Remote Similarity NPC80986
0.5566 Remote Similarity NPC114484
0.5534 Remote Similarity NPC309714
0.5532 Remote Similarity NPC102914
0.5514 Remote Similarity NPC301449
0.5514 Remote Similarity NPC601290
0.5487 Remote Similarity NPC100639
0.5474 Remote Similarity NPC220984
0.5463 Remote Similarity NPC241909
0.5455 Remote Similarity NPC475208
0.5435 Remote Similarity NPC605954
0.5426 Remote Similarity NPC310014
0.5426 Remote Similarity NPC269315
0.5417 Remote Similarity NPC256798
0.5413 Remote Similarity NPC31838
0.5413 Remote Similarity NPC481078
0.5413 Remote Similarity NPC187290
0.5408 Remote Similarity NPC189884
0.5408 Remote Similarity NPC138334
0.5377 Remote Similarity NPC475504
0.5377 Remote Similarity NPC609763
0.5333 Remote Similarity NPC11551
0.5333 Remote Similarity NPC480475
0.5321 Remote Similarity NPC96641
0.5321 Remote Similarity NPC163183
0.5319 Remote Similarity NPC479080
0.5268 Remote Similarity NPC76972
0.5268 Remote Similarity NPC469782
0.5268 Remote Similarity NPC204414
0.5263 Remote Similarity NPC7870
0.5263 Remote Similarity NPC75747
0.5263 Remote Similarity NPC135904
0.5229 Remote Similarity NPC481079
0.5225 Remote Similarity NPC75287
0.5221 Remote Similarity NPC192600
0.5221 Remote Similarity NPC79643
0.5217 Remote Similarity NPC475160
0.5217 Remote Similarity NPC470218
0.5217 Remote Similarity NPC473714
0.521 Remote Similarity NPC65105
0.52 Remote Similarity NPC1046
0.5192 Remote Similarity NPC475171
0.5182 Remote Similarity NPC295823
0.5182 Remote Similarity NPC174720
0.5182 Remote Similarity NPC475467
0.5182 Remote Similarity NPC480474
0.5181 Remote Similarity NPC246708
0.5175 Remote Similarity NPC481031
0.5152 Remote Similarity NPC47063
0.5149 Remote Similarity NPC179434
0.513 Remote Similarity NPC155410
0.513 Remote Similarity NPC123199
0.5128 Remote Similarity NPC481080
0.5124 Remote Similarity NPC298034
0.5124 Remote Similarity NPC71065
0.5104 Remote Similarity NPC48249
0.5102 Remote Similarity NPC128925
0.51 Remote Similarity NPC204458
0.5085 Remote Similarity NPC476068
0.5083 Remote Similarity NPC293330
0.5053 Remote Similarity NPC190837
0.5047 Remote Similarity NPC305267
0.5045 Remote Similarity NPC480473
0.5043 Remote Similarity NPC475899

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC60014 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