Natural Product: NPC222718

Natural Product IDNPC222718
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MBEWFQBRZYAFPE-YLHQKFOPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 52931423
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 MBEWFQBRZYAFPE-YLHQKFOPSA-N
Standard InCHI InChI=1S/C53H88O23/c1-8-28-32(69-23(3)31(67-7)15-22(2)21-68-48-43(64)41(62)37(58)33(18-54)72-48)17-30-27-10-9-25-16-26(11-13-52(25,5)29(27)12-14-53(28,30)6)71-51-47(76-49-44(65)40(61)36(57)24(4)70-49)46(39(60)35(20-56)74-51)75-50-45(66)42(63)38(59)34(19-55)73-50/h9,22,24,26-51,54-66H,3,8,10-21H2,1-2,4-7H3/t22-,24?,26+,27-,28+,29+,30+,31+,32+,33?,34?,35?,36+,37-,38-,39-,40?,41+,42+,43?,44+,45?,46+,47?,48-,49+,50+,51-,52+,53-/m1/s1
SMILES CC[C@H]1[C@H](C[C@H]2[C@@H]3CC=C4C[C@H](CC[C@]4(C)[C@H]3CC[C@]12C)O[C@H]1C([C@H]([C@@H](C(CO)O1)O)O[C@H]1C([C@H]([C@@H](C(CO)O1)O)O)O)O[C@H]1[C@H](C([C@H](C(C)O1)O)O)O)OC(=C)[C@H](C[C@@H](C)CO[C@H]1C([C@H]([C@@H](C(CO)O1)O)O)O)OC

  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
NPO17650 Dioscorea septemloba Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17650 Dioscorea septemloba Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17650 Dioscorea septemloba Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17650 Dioscorea septemloba Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17650 Dioscorea septemloba Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17650 Dioscorea septemloba Species Dioscoreaceae 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

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 NPC222718 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
0.7547 Intermediate Similarity NPC102016
0.7547 Intermediate Similarity NPC95051
0.7207 Intermediate Similarity NPC218571
0.7207 Intermediate Similarity NPC487615
0.7182 Intermediate Similarity NPC309278
0.6727 Remote Similarity NPC300557
0.6545 Remote Similarity NPC602423
0.6316 Remote Similarity NPC73243
0.6316 Remote Similarity NPC244086
0.6316 Remote Similarity NPC84956
0.6306 Remote Similarity NPC98696
0.6228 Remote Similarity NPC150057
0.6228 Remote Similarity NPC475182
0.6228 Remote Similarity NPC147753
0.6207 Remote Similarity NPC247037
0.605 Remote Similarity NPC249265
0.6 Remote Similarity NPC23808
0.6 Remote Similarity NPC87998
0.5966 Remote Similarity NPC194207
0.5966 Remote Similarity NPC22779
0.5902 Remote Similarity NPC308140
0.5862 Remote Similarity NPC48886
0.5862 Remote Similarity NPC94881
0.5726 Remote Similarity NPC232054
0.5565 Remote Similarity NPC477811
0.5546 Remote Similarity NPC480555
0.5546 Remote Similarity NPC150372
0.5526 Remote Similarity NPC94272
0.5504 Remote Similarity NPC477808
0.547 Remote Similarity NPC486388
0.5462 Remote Similarity NPC6806
0.5431 Remote Similarity NPC113044
0.5431 Remote Similarity NPC283829
0.5431 Remote Similarity NPC161676
0.541 Remote Similarity NPC486386
0.5391 Remote Similarity NPC306991
0.5323 Remote Similarity NPC254255
0.5317 Remote Similarity NPC480553
0.5303 Remote Similarity NPC208832
0.5299 Remote Similarity NPC305423
0.5294 Remote Similarity NPC470433
0.5294 Remote Similarity NPC46190
0.5294 Remote Similarity NPC171073
0.525 Remote Similarity NPC248746
0.5242 Remote Similarity NPC475333
0.5242 Remote Similarity NPC224098
0.5242 Remote Similarity NPC208383
0.5231 Remote Similarity NPC248202
0.5169 Remote Similarity NPC14704
0.5159 Remote Similarity NPC480554
0.5156 Remote Similarity NPC31896
0.5135 Remote Similarity NPC181845
0.5128 Remote Similarity NPC470432
0.5128 Remote Similarity NPC230507
0.5115 Remote Similarity NPC480556
0.5111 Remote Similarity NPC263359
0.5089 Remote Similarity NPC272015
0.5082 Remote Similarity NPC42171
0.5042 Remote Similarity NPC470748
0.504 Remote Similarity NPC269297
0.504 Remote Similarity NPC222202

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC222718 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
0.6228 Remote Similarity NPD8450 Suspended

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