Natural Product: NPC610133

Natural Product IDNPC610133
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WWFVAIXZPACOBJ-NRFANRHFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3787270
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 WWFVAIXZPACOBJ-NRFANRHFSA-N
Standard InCHI InChI=1S/C25H28O6/c1-13(2)5-8-16-23(29)17(9-6-14(3)4)25-22(24(16)30)20(28)12-21(31-25)15-7-10-18(26)19(27)11-15/h5-7,10-11,21,26-27,29-30H,8-9,12H2,1-4H3/t21-/m0/s1
SMILES CC(C)=CCc1c(O)c(CC=C(C)C)c2c(c1O)C(=O)C[C@@H](c1ccc(O)c(O)c1)O2

  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
NPO8046 Muntingia calabura Species Muntingiaceae Eukaryota Roots n.a. n.a. PMID[2045815]
NPO8046 Muntingia calabura Species Muntingiaceae Eukaryota n.a. root n.a. PMID[2045815]
NPO19912 Vellozia nanuzae Species Velloziaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19487 Dorstenia mannii Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8046 Muntingia calabura Species Muntingiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO50053 Vellozia coronata Genus Velloziaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8046 Muntingia calabura Species Muntingiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8046 Muntingia calabura Species Muntingiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19487 Dorstenia mannii Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19487 Dorstenia mannii Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19912 Vellozia nanuzae Species Velloziaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8046 Muntingia calabura Species Muntingiaceae 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
NPT28438 Unchecked Unchecked n.a. Ratio CC50/IC50 = 1.58 n.a. PMID[26906638]
NPT634 Organism Leishmania amazonensis Leishmania amazonensis IC50 = 29200.0 nM PMID[26906638]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. CC50 = 46270.0 nM PMID[26906638]

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 NPC610133 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
0.8393 Intermediate Similarity NPC265040
0.7966 Intermediate Similarity NPC608140
0.7759 Intermediate Similarity NPC187282
0.7213 Intermediate Similarity NPC285555
0.6364 Remote Similarity NPC473078
0.6324 Remote Similarity NPC484416
0.619 Remote Similarity NPC107572
0.619 Remote Similarity NPC32739
0.6 Remote Similarity NPC66515
0.6 Remote Similarity NPC213896
0.6 Remote Similarity NPC192083
0.5942 Remote Similarity NPC246948
0.5846 Remote Similarity NPC250214
0.5846 Remote Similarity NPC75049
0.5821 Remote Similarity NPC291878
0.5811 Remote Similarity NPC283234
0.5781 Remote Similarity NPC76372
0.5781 Remote Similarity NPC37496
0.5758 Remote Similarity NPC197252
0.5758 Remote Similarity NPC254412
0.5753 Remote Similarity NPC192686
0.5672 Remote Similarity NPC125855
0.5652 Remote Similarity NPC138288
0.5616 Remote Similarity NPC261063
0.5606 Remote Similarity NPC69674
0.5606 Remote Similarity NPC148757
0.5541 Remote Similarity NPC321779
0.5538 Remote Similarity NPC164980
0.5522 Remote Similarity NPC480990
0.5467 Remote Similarity NPC119209
0.5455 Remote Similarity NPC1089
0.5455 Remote Similarity NPC324436
0.5455 Remote Similarity NPC78
0.5455 Remote Similarity NPC236766
0.5455 Remote Similarity NPC150408
0.5455 Remote Similarity NPC306829
0.5405 Remote Similarity NPC228779
0.5405 Remote Similarity NPC483811
0.5373 Remote Similarity NPC95936
0.5352 Remote Similarity NPC35038
0.5333 Remote Similarity NPC284820
0.5294 Remote Similarity NPC220998
0.5294 Remote Similarity NPC310130
0.5286 Remote Similarity NPC161506
0.5278 Remote Similarity NPC166934
0.5278 Remote Similarity NPC142405
0.527 Remote Similarity NPC214774
0.5217 Remote Similarity NPC223500
0.5217 Remote Similarity NPC76338
0.5217 Remote Similarity NPC250242
0.5147 Remote Similarity NPC149026
0.5143 Remote Similarity NPC182852
0.5075 Remote Similarity NPC1486
0.507 Remote Similarity NPC36217
0.5065 Remote Similarity NPC312273

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC610133 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
0.6 Remote Similarity NPD2393 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