Natural Product: NPC610511

Natural Product IDNPC610511
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GJFHZVPRFLHEBR-KETROQBRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL4173326
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 GJFHZVPRFLHEBR-KETROQBRSA-N
Standard InCHI InChI=1S/C25H28O6/c1-14(2)5-4-6-15(3)7-8-16-9-18(20(28)12-19(16)27)23-13-22(30)25-21(29)10-17(26)11-24(25)31-23/h5,7,9-12,23,26-29H,4,6,8,13H2,1-3H3/b15-7+/t23-/m0/s1
SMILES CC(C)=CCC/C(C)=C/Cc1cc([C@@H]2CC(=O)c3c(O)cc(O)cc3O2)c(O)cc1O

  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
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. PMID[20815207]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. bark n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[22207282]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[23806866]
NPO28265 Morus alba Species Moraceae Eukaryota root bark University of Veterinary and Pharmaceutical Sciences Brno (UVPS Brno), Brno, Czech Republic 2011-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. Konya, Turkey 2007-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota leaves Chungbuk, Korea n.a. PMID[25935644]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[25981820]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. latex n.a. PMID[27294120]
NPO28265 Morus alba Species Moraceae Eukaryota Root barks n.a. n.a. PMID[3097265]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28265 Morus alba Species Moraceae 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
NPT1464 Individual protein Phosphodiesterase 4D Homo sapiens IC50 = 1260.0 nM PMID[29291443]
NPT6571 Individual protein Sarcoplasmic/endoplasmic reticulum calcium ATPase 1 Rattus norvegicus Inhibition n.a. n.a. % PMID[32435418]
NPT6571 Individual protein Sarcoplasmic/endoplasmic reticulum calcium ATPase 1 Rattus norvegicus IC50 = 28650.0 nM PMID[32435418]
NPT5536 Individual protein Sarcoplasmic/endoplasmic reticulum calcium ATP-ase Oryctolagus cuniculus Activity n.a. n.a. n.a. PMID[32435418]
NPT5536 Individual protein Sarcoplasmic/endoplasmic reticulum calcium ATP-ase Oryctolagus cuniculus IC50 = 29430.0 nM PMID[32435418]

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 NPC610511 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 NPC96408
0.803 Intermediate Similarity NPC279650
0.7286 Intermediate Similarity NPC58805
0.6712 Remote Similarity NPC67396
0.6471 Remote Similarity NPC166689
0.6364 Remote Similarity NPC258630
0.6324 Remote Similarity NPC109223
0.6324 Remote Similarity NPC10937
0.6 Remote Similarity NPC106976
0.5946 Remote Similarity NPC290133
0.5921 Remote Similarity NPC185276
0.5915 Remote Similarity NPC85121
0.5857 Remote Similarity NPC17170
0.5844 Remote Similarity NPC74924
0.5753 Remote Similarity NPC470890
0.5753 Remote Similarity NPC200761
0.5733 Remote Similarity NPC228504
0.5676 Remote Similarity NPC24136
0.5641 Remote Similarity NPC298692
0.5625 Remote Similarity NPC295261
0.5625 Remote Similarity NPC296490
0.56 Remote Similarity NPC166934
0.5493 Remote Similarity NPC267846
0.5455 Remote Similarity NPC64915
0.5455 Remote Similarity NPC213896
0.5385 Remote Similarity NPC470328
0.5385 Remote Similarity NPC209614
0.5385 Remote Similarity NPC164272
0.5385 Remote Similarity NPC470327
0.5342 Remote Similarity NPC116513
0.5342 Remote Similarity NPC223500
0.5325 Remote Similarity NPC474021
0.5309 Remote Similarity NPC24640
0.525 Remote Similarity NPC226025
0.525 Remote Similarity NPC278778
0.5224 Remote Similarity NPC107586
0.5185 Remote Similarity NPC474024
0.5185 Remote Similarity NPC474023
0.5139 Remote Similarity NPC324436
0.5139 Remote Similarity NPC78
0.5125 Remote Similarity NPC227579
0.5125 Remote Similarity NPC214166
0.5122 Remote Similarity NPC45849
0.5122 Remote Similarity NPC472626
0.5122 Remote Similarity NPC210459
0.5122 Remote Similarity NPC195796
0.5109 Remote Similarity NPC195136
0.5063 Remote Similarity NPC470802
0.5062 Remote Similarity NPC111786

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC610511 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