Natural Product: NPC537648

Natural Product IDNPC537648
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(2~{R},3~{R},4~{R},5~{R},6~{R})-6-[2-(3,4-dihydroxyphenyl)ethoxy]-5-hydroxy-4-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-2-[[(2~{S},3~{S},4~{R},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxymethyl]tetrahydropyran-3-yl] (~{E})-3-(3,4-dihydroxyphenyl)prop-2-enoate
IUPAC Name [(2~{R},3~{R},4~{R},5~{R},6~{R})-6-[2-(3,4-dihydroxyphenyl)ethoxy]-5-hydroxy-4-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-2-[[(2~{S},3~{S},4~{R},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxymethyl]tetrahydropyran-3-yl] (~{E})-3-(3,4-dihydroxyphenyl)prop-2-enoate
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 XPLMUADTACCMDJ-SLZARYJYSA-N
Standard InCHI InChI=1S/C34H44O19/c1-14-24(41)26(43)28(45)34(50-14)53-31-29(46)33(47-9-8-16-3-6-18(36)20(38)11-16)51-22(13-49-32-27(44)25(42)21(39)12-48-32)30(31)52-23(40)7-4-15-2-5-17(35)19(37)10-15/h2-7,10-11,14,21-22,24-39,41-46H,8-9,12-13H2,1H3/b7-4+/t14-,21+,22+,24-,25+,26+,27-,28+,29+,30+,31+,32-,33+,34-/m0/s1
SMILES C[C@@H]1O[C@@H](O[C@@H]2[C@@H](O)[C@H](OCCC3=CC=C(O)C(O)=C3)O[C@H](CO[C@@H]3OC[C@@H](O)[C@@H](O)[C@@H]3O)[C@H]2OC(=O)/C=C/C2=CC=C(O)C(O)=C2)[C@H](O)[C@H](O)[C@H]1O

  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
NPO52625 Scrophularia nodosa L. Genus Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC537648 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 NPC205864
1.0 High Similarity NPC247032
0.9114 High Similarity NPC76406
0.8571 High Similarity NPC298257
0.8571 High Similarity NPC175214
0.8537 High Similarity NPC611289
0.8391 Intermediate Similarity NPC300894
0.8391 Intermediate Similarity NPC23845
0.7849 Intermediate Similarity NPC64195
0.7738 Intermediate Similarity NPC472350
0.7738 Intermediate Similarity NPC197316
0.7738 Intermediate Similarity NPC89105
0.7609 Intermediate Similarity NPC106818
0.7423 Intermediate Similarity NPC229505
0.7381 Intermediate Similarity NPC260425
0.7381 Intermediate Similarity NPC81515
0.7292 Intermediate Similarity NPC87403
0.7222 Intermediate Similarity NPC269141
0.7053 Intermediate Similarity NPC476384
0.7021 Intermediate Similarity NPC259347
0.6915 Remote Similarity NPC96795
0.6915 Remote Similarity NPC264632
0.6882 Remote Similarity NPC112
0.6827 Remote Similarity NPC257970
0.6774 Remote Similarity NPC252292
0.6735 Remote Similarity NPC476380
0.6735 Remote Similarity NPC476381
0.6705 Remote Similarity NPC46137
0.6702 Remote Similarity NPC119537
0.6667 Remote Similarity NPC470933
0.6632 Remote Similarity NPC100998
0.6629 Remote Similarity NPC64141
0.66 Remote Similarity NPC470934
0.6374 Remote Similarity NPC483705
0.63 Remote Similarity NPC196063
0.63 Remote Similarity NPC604195
0.6277 Remote Similarity NPC263829
0.6264 Remote Similarity NPC483706
0.6204 Remote Similarity NPC470927
0.6186 Remote Similarity NPC476397
0.6132 Remote Similarity NPC476386
0.6129 Remote Similarity NPC68092
0.604 Remote Similarity NPC476375
0.602 Remote Similarity NPC296954
0.6 Remote Similarity NPC94871
0.5979 Remote Similarity NPC34587
0.596 Remote Similarity NPC34927
0.59 Remote Similarity NPC610636
0.5789 Remote Similarity NPC134405
0.5784 Remote Similarity NPC141455
0.5769 Remote Similarity NPC476378
0.5747 Remote Similarity NPC287597
0.5745 Remote Similarity NPC205195
0.5699 Remote Similarity NPC235294
0.5568 Remote Similarity NPC886
0.5556 Remote Similarity NPC473285
0.5446 Remote Similarity NPC105005
0.5444 Remote Similarity NPC34293
0.5421 Remote Similarity NPC471062
0.5413 Remote Similarity NPC473427
0.537 Remote Similarity NPC476398
0.53 Remote Similarity NPC106677
0.52 Remote Similarity NPC476377
0.52 Remote Similarity NPC476383
0.5149 Remote Similarity NPC476376
0.5104 Remote Similarity NPC475530
0.5096 Remote Similarity NPC600370
0.5045 Remote Similarity NPC306890
0.5044 Remote Similarity NPC188393

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC537648 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
0.7738 Intermediate Similarity NPD7266 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