Natural Product: NPC145957

Natural Product IDNPC145957
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ABEPLDYBWOKMCT-PUWSOPCHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44258792
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-O-glycosides

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 ABEPLDYBWOKMCT-PUWSOPCHSA-N
Standard InCHI InChI=1S/C38H48O19/c1-13(2)5-10-18-20(53-37-31(50)28(47)25(44)21(12-39)54-37)11-19(41)22-26(45)34(32(55-33(18)22)16-6-8-17(40)9-7-16)56-38-35(29(48)24(43)15(4)52-38)57-36-30(49)27(46)23(42)14(3)51-36/h5-9,11,14-15,21,23-25,27-31,35-44,46-50H,10,12H2,1-4H3/t14?,15?,21?,23-,24-,25+,27?,28-,29?,30-,31?,35-,36-,37+,38-/m0/s1
SMILES CC(=CCc1c(cc(c2c(=O)c(c(c3ccc(cc3)O)oc12)O[C@H]1[C@H](C([C@H](C(C)O1)O)O)O[C@H]1[C@H](C([C@H](C(C)O1)O)O)O)O)O[C@H]1C([C@H]([C@@H](C(CO)O1)O)O)O)C

  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
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. aerial part n.a. PMID[1442064]
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. n.a. n.a. PMID[36300020]
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10214 Epimedium wanshanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10214 Epimedium wanshanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10214 Epimedium wanshanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28569 Epimedium acuminatum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10214 Epimedium wanshanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28569 Epimedium acuminatum Species Berberidaceae 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
NPO28569 Epimedium acuminatum n.a. n.a. 205.579 n.a. n.a. μg/g PMID[36300020]
NPO28569 Epimedium acuminatum n.a. n.a. 354.095 n.a. n.a. μg/g PMID[36300020]
NPO28569 Epimedium acuminatum n.a. n.a. 1,461.200 n.a. n.a. μg/g PMID[36300020]
NPO28569 Epimedium acuminatum n.a. n.a. 65.928 n.a. n.a. μg/g PMID[36300020]

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 NPC145957 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
0.7449 Intermediate Similarity NPC5319
0.6667 Remote Similarity NPC32641
0.6667 Remote Similarity NPC256188
0.6667 Remote Similarity NPC35119
0.6422 Remote Similarity NPC25523
0.6311 Remote Similarity NPC240306
0.6176 Remote Similarity NPC163242
0.6176 Remote Similarity NPC272068
0.61 Remote Similarity NPC476215
0.61 Remote Similarity NPC66087
0.5905 Remote Similarity NPC470444
0.5905 Remote Similarity NPC131745
0.5842 Remote Similarity NPC116458
0.5842 Remote Similarity NPC246943
0.5841 Remote Similarity NPC480441
0.5818 Remote Similarity NPC602448
0.5784 Remote Similarity NPC170052
0.5784 Remote Similarity NPC135846
0.5766 Remote Similarity NPC14187
0.5701 Remote Similarity NPC64425
0.566 Remote Similarity NPC155877
0.5577 Remote Similarity NPC95866
0.5545 Remote Similarity NPC142142
0.5524 Remote Similarity NPC473682
0.5514 Remote Similarity NPC183672
0.55 Remote Similarity NPC297987
0.5431 Remote Similarity NPC164704
0.5377 Remote Similarity NPC278419
0.5377 Remote Similarity NPC179198
0.537 Remote Similarity NPC65003
0.5364 Remote Similarity NPC12013
0.5364 Remote Similarity NPC11432
0.5364 Remote Similarity NPC477613
0.5357 Remote Similarity NPC220173
0.5285 Remote Similarity NPC480443
0.5283 Remote Similarity NPC254855
0.5283 Remote Similarity NPC94610
0.5278 Remote Similarity NPC470405
0.5248 Remote Similarity NPC249281
0.5248 Remote Similarity NPC77672
0.5248 Remote Similarity NPC133671
0.5248 Remote Similarity NPC135391
0.5248 Remote Similarity NPC78263
0.5248 Remote Similarity NPC250069
0.5238 Remote Similarity NPC605784
0.5196 Remote Similarity NPC8573
0.5169 Remote Similarity NPC470715
0.5161 Remote Similarity NPC192539
0.5146 Remote Similarity NPC46420
0.5091 Remote Similarity NPC304741
0.5088 Remote Similarity NPC76831
0.5088 Remote Similarity NPC473071
0.5083 Remote Similarity NPC255799
0.5081 Remote Similarity NPC209550
0.5048 Remote Similarity NPC168584
0.5046 Remote Similarity NPC480466
0.5046 Remote Similarity NPC139320
0.5045 Remote Similarity NPC186816
0.5043 Remote Similarity NPC292929
0.5043 Remote Similarity NPC221342
0.5043 Remote Similarity NPC476470
0.5041 Remote Similarity NPC470717

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC145957 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
0.7449 Intermediate Similarity NPD7804 Clinical (unspecified phase)

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