Natural Product: NPC310275

Natural Product IDNPC310275
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KZEYDXDZMDUSMZ-YXGXWJJMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5316961
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 KZEYDXDZMDUSMZ-YXGXWJJMSA-N
Standard InCHI InChI=1S/C55H90O26/c1-21-7-12-55(72-18-21)22(2)34-30(81-55)14-27-25-6-5-23-13-24(8-10-53(23,3)26(25)9-11-54(27,34)4)73-50-42(68)39(65)45(33(17-58)76-50)78-52-47(46(37(63)32(16-57)75-52)79-51-41(67)38(64)36(62)31(15-56)74-51)80-49-43(69)44(29(60)20-71-49)77-48-40(66)35(61)28(59)19-70-48/h21-52,56-69H,5-20H2,1-4H3/t21-,22?,23?,24+,25?,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+,54+,55?/m1/s1
SMILES C[C@@H]1CCC2(C(C)C3C(CC4C5CCC6C[C@H](CC[C@]6(C)C5CC[C@]34C)O[C@H]3C([C@H]([C@H]([C@@H](CO)O3)O[C@H]3C([C@H](C([C@@H](CO)O3)O)O[C@H]3C([C@H](C([C@@H](CO)O3)O)O)O)O[C@H]3C([C@H](C(CO3)O)O[C@H]3C([C@H](C(CO3)O)O)O)O)O)O)O2)OC1

  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
NPO7928 Agave east-one Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7928 Agave east-one Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7928 Agave east-one Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]

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 NPC310275 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
0.9223 High Similarity NPC132080
0.91 High Similarity NPC97700
0.91 High Similarity NPC30856
0.8932 High Similarity NPC232037
0.8544 High Similarity NPC184617
0.844 Intermediate Similarity NPC470866
0.8317 Intermediate Similarity NPC475351
0.8302 Intermediate Similarity NPC116756
0.7982 Intermediate Similarity NPC220836
0.7982 Intermediate Similarity NPC470864
0.7963 Intermediate Similarity NPC475625
0.7909 Intermediate Similarity NPC476112
0.7909 Intermediate Similarity NPC307534
0.7838 Intermediate Similarity NPC233433
0.7778 Intermediate Similarity NPC115165
0.7719 Intermediate Similarity NPC94086
0.7719 Intermediate Similarity NPC473817
0.77 Intermediate Similarity NPC250393
0.7624 Intermediate Similarity NPC206003
0.7624 Intermediate Similarity NPC473610
0.76 Intermediate Similarity NPC481189
0.75 Intermediate Similarity NPC329807
0.7402 Intermediate Similarity NPC329727
0.74 Intermediate Similarity NPC325828
0.7339 Intermediate Similarity NPC51172
0.7339 Intermediate Similarity NPC49032
0.7222 Intermediate Similarity NPC473601
0.7168 Intermediate Similarity NPC473518
0.7143 Intermediate Similarity NPC475319
0.7105 Intermediate Similarity NPC232611
0.7075 Intermediate Similarity NPC107962
0.7069 Intermediate Similarity NPC84111
0.7069 Intermediate Similarity NPC287483
0.7069 Intermediate Similarity NPC470865
0.7025 Intermediate Similarity NPC210569
0.699 Remote Similarity NPC234352
0.6903 Remote Similarity NPC98018
0.6903 Remote Similarity NPC284104
0.6903 Remote Similarity NPC103616
0.6864 Remote Similarity NPC31896
0.685 Remote Similarity NPC330026
0.6846 Remote Similarity NPC329820
0.6838 Remote Similarity NPC83137
0.6838 Remote Similarity NPC470862
0.6729 Remote Similarity NPC107188
0.6721 Remote Similarity NPC473505
0.6697 Remote Similarity NPC125324
0.6667 Remote Similarity NPC128572
0.6638 Remote Similarity NPC470863
0.6587 Remote Similarity NPC305771
0.6587 Remote Similarity NPC94072
0.6587 Remote Similarity NPC169816
0.6512 Remote Similarity NPC481190
0.65 Remote Similarity NPC477811
0.6475 Remote Similarity NPC262050
0.6457 Remote Similarity NPC263359
0.6396 Remote Similarity NPC6295
0.6379 Remote Similarity NPC151134
0.6349 Remote Similarity NPC15918
0.6333 Remote Similarity NPC108072
0.6293 Remote Similarity NPC471464
0.6283 Remote Similarity NPC160426
0.627 Remote Similarity NPC273002
0.6262 Remote Similarity NPC297348
0.6262 Remote Similarity NPC249204
0.6262 Remote Similarity NPC48339
0.6262 Remote Similarity NPC177834
0.6262 Remote Similarity NPC141769
0.6262 Remote Similarity NPC477547
0.621 Remote Similarity NPC470867
0.6202 Remote Similarity NPC244431
0.6126 Remote Similarity NPC211354
0.6126 Remote Similarity NPC19400
0.6098 Remote Similarity NPC92297
0.6094 Remote Similarity NPC79900
0.6068 Remote Similarity NPC92890
0.6063 Remote Similarity NPC477807
0.6017 Remote Similarity NPC300557
0.6 Remote Similarity NPC477451
0.5929 Remote Similarity NPC264101
0.5868 Remote Similarity NPC51520
0.5868 Remote Similarity NPC303069
0.5859 Remote Similarity NPC480556
0.5847 Remote Similarity NPC602423
0.5814 Remote Similarity NPC224314
0.5714 Remote Similarity NPC475643
0.5667 Remote Similarity NPC477809
0.5649 Remote Similarity NPC477808
0.5645 Remote Similarity NPC470861
0.5645 Remote Similarity NPC309278
0.563 Remote Similarity NPC202898
0.5556 Remote Similarity NPC470432
0.5556 Remote Similarity NPC230507
0.5546 Remote Similarity NPC485605
0.552 Remote Similarity NPC475333
0.552 Remote Similarity NPC224098
0.552 Remote Similarity NPC208383
0.5508 Remote Similarity NPC195297
0.5495 Remote Similarity NPC485594
0.5492 Remote Similarity NPC6806
0.5487 Remote Similarity NPC485591
0.5469 Remote Similarity NPC480553
0.5448 Remote Similarity NPC32707
0.5433 Remote Similarity NPC92710
0.5424 Remote Similarity NPC485595
0.5403 Remote Similarity NPC294129
0.5379 Remote Similarity NPC248202
0.5351 Remote Similarity NPC294686
0.5349 Remote Similarity NPC256983
0.5339 Remote Similarity NPC215408
0.5333 Remote Similarity NPC14704
0.5312 Remote Similarity NPC480554
0.5267 Remote Similarity NPC167183
0.5267 Remote Similarity NPC232054
0.5242 Remote Similarity NPC274200
0.5221 Remote Similarity NPC208832
0.5214 Remote Similarity NPC121453
0.52 Remote Similarity NPC480555
0.52 Remote Similarity NPC150372
0.5175 Remote Similarity NPC181845
0.5128 Remote Similarity NPC222731
0.5044 Remote Similarity NPC24960

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC310275 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
0.74 Intermediate Similarity NPD8171 Phase 2
0.6396 Remote Similarity NPD8170 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