Natural Product: NPC137252

Natural Product IDNPC137252
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OLMIQOIPLQDJFU-KGLIPLIRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102322865
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001969] Dibenzylbutane lignans

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 OLMIQOIPLQDJFU-KGLIPLIRSA-N
Standard InCHI InChI=1S/C20H24O4/c1-13(8-15-4-6-18(22-3)17(21)10-15)14(2)9-16-5-7-19-20(11-16)24-12-23-19/h4-7,10-11,13-14,21H,8-9,12H2,1-3H3/t13-,14+/m1/s1
SMILES C[C@H](Cc1ccc(c(c1)O)OC)[C@@H](C)Cc1ccc2c(c1)OCO2

  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
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. DOI[10.1002/cjoc.20010190319]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. DOI[10.1016/j.tet.2008.10.079]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. PMID[11395273]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. PMID[18536373]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota aerial parts Erlang Mountain area of Sichuan Province, China 2007-SEP PMID[19413342]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[20681569]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7374 Seseli montanum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7374 Seseli montanum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11167 Prunus ssiori Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9834 Veronica austriaca Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6903 Lecanora straminea Species Lecanoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7128 Cynthia savignyi n.a. n.a. n.a. 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 NPC137252 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
0.7708 Intermediate Similarity NPC274356
0.7708 Intermediate Similarity NPC101748
0.7273 Intermediate Similarity NPC344161
0.7143 Intermediate Similarity NPC80241
0.7143 Intermediate Similarity NPC301641
0.7143 Intermediate Similarity NPC485483
0.6875 Remote Similarity NPC249788
0.66 Remote Similarity NPC485480
0.6545 Remote Similarity NPC487677
0.6545 Remote Similarity NPC487675
0.6545 Remote Similarity NPC46880
0.64 Remote Similarity NPC232275
0.6316 Remote Similarity NPC106739
0.6207 Remote Similarity NPC471505
0.6102 Remote Similarity NPC487679
0.6102 Remote Similarity NPC487678
0.6 Remote Similarity NPC227217
0.6 Remote Similarity NPC117780
0.5882 Remote Similarity NPC485482
0.5862 Remote Similarity NPC487681
0.5818 Remote Similarity NPC28398
0.5763 Remote Similarity NPC161249
0.5714 Remote Similarity NPC284464
0.5682 Remote Similarity NPC165106
0.566 Remote Similarity NPC104077
0.566 Remote Similarity NPC219671
0.566 Remote Similarity NPC147616
0.5625 Remote Similarity NPC470626
0.5625 Remote Similarity NPC40352
0.5625 Remote Similarity NPC213711
0.5577 Remote Similarity NPC196937
0.5536 Remote Similarity NPC135777
0.5532 Remote Similarity NPC76451
0.537 Remote Similarity NPC63574
0.5306 Remote Similarity NPC298757
0.5238 Remote Similarity NPC282291
0.5238 Remote Similarity NPC166137
0.5238 Remote Similarity NPC169973
0.5217 Remote Similarity NPC31279
0.5208 Remote Similarity NPC165133
0.5208 Remote Similarity NPC242885
0.5208 Remote Similarity NPC95614
0.5208 Remote Similarity NPC232316
0.5208 Remote Similarity NPC477886
0.5192 Remote Similarity NPC56214
0.5192 Remote Similarity NPC476748
0.5179 Remote Similarity NPC143895
0.5161 Remote Similarity NPC145569
0.5102 Remote Similarity NPC604144
0.5098 Remote Similarity NPC600801
0.5091 Remote Similarity NPC30951
0.5091 Remote Similarity NPC192255
0.5091 Remote Similarity NPC474288
0.5088 Remote Similarity NPC165128
0.5085 Remote Similarity NPC6369

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC137252 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
0.5682 Remote Similarity NPD5283 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