Natural Product: NPC70236

Natural Product IDNPC70236
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(3S,8S,9R,10R,12R,13R,14R,17S)-8,14,17-Trihydroxy-17-[(1S)-1-Hydroxyethyl]-3-[(2R,4S,5R,6R)-5-[(2S,4S,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,3R,4S,5R,6R)-3-Hydroxy-4-Methoxy-6-Methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(Hydroxymethyl)Oxan-2-Yl]Oxyoxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-4-Methoxy-6-Methyloxan-2-Yl]Oxy-10,13-Dimethyl-1,2,3,4,7,9,11,12,15,16-Decahydrocyclopenta[A]Phenanthren-12-Yl] (E)-3-Phenylprop-2-Enoate
IUPAC Name [(3S,8S,9R,10R,12R,13R,14R,17S)-8,14,17-trihydroxy-17-[(1S)-1-hydroxyethyl]-3-[(2R,4S,5R,6R)-5-[(2S,4S,5R,6R)-5-[(2S,4R,5R,6R)-5-[(2S,3R,4S,5R,6R)-3-hydroxy-4-methoxy-6-methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-4-methoxy-6-methyloxan-2-yl]oxy-10,13-dimethyl-1,2,3,4,7,9,11,12,15,16-decahydrocyclopenta[a]phenanthren-12-yl] (E)-3-phenylprop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL509848
PubChem CID 44566880
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal 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 BEAJFYKIOOQNTB-WTLBFJGFSA-N
Standard InCHI InChI=1S/C64H98O25/c1-31-53(86-47-27-40(76-9)54(32(2)80-47)87-48-28-41(77-10)55(33(3)81-48)88-59-52(71)57(78-11)56(34(4)82-59)89-58-51(70)50(69)49(68)42(30-65)84-58)39(75-8)26-46(79-31)83-38-20-21-60(6)37(25-38)19-22-63(73)43(60)29-44(85-45(67)18-17-36-15-13-12-14-16-36)61(7)62(72,35(5)66)23-24-64(61,63)74/h12-19,31-35,38-44,46-59,65-66,68-74H,20-30H2,1-11H3/b18-17+/t31-,32-,33-,34-,35+,38+,39+,40+,41-,42-,43-,44-,46+,47+,48+,49-,50+,51-,52-,53-,54-,55-,56-,57+,58+,59+,60+,61-,62-,63+,64-/m1/s1
SMILES CO[C@H]1C[C@H](O[C@H]2CC[C@]3(C(=CC[C@@]4([C@@H]3C[C@@H](OC(=O)/C=C/c3ccccc3)[C@]3([C@]4(O)CC[C@@]3(O)[C@@H](O)C)C)O)C2)C)O[C@@H]([C@H]1O[C@H]1C[C@H](OC)[C@@H]([C@H](O1)C)O[C@H]1C[C@@H](OC)[C@@H]([C@H](O1)C)O[C@@H]1O[C@H](C)[C@H]([C@H]([C@H]1O)OC)O[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)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
NPO33108 leptadenia hastata Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[7623046]
NPO33108 leptadenia hastata Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[8786361]

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
NPT80 Cell line Raji Homo sapiens Activity = 59.0 % PMID[24941130]
NPT80 Cell line Raji Homo sapiens Activity = 33.0 % PMID[24992075]
NPT80 Cell line Raji Homo sapiens Activity = 16.0 % PMID[24992075]
NPT80 Cell line Raji Homo sapiens Activity = 18.0 % PMID[24992075]
NPT80 Cell line Raji Homo sapiens Activity = 10.0 % PMID[24992075]

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 NPC70236 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
0.9346 High Similarity NPC475447
0.9048 High Similarity NPC473641
0.9048 High Similarity NPC475300
0.8879 High Similarity NPC476092
0.8482 Intermediate Similarity NPC473797
0.8333 Intermediate Similarity NPC475175
0.8257 Intermediate Similarity NPC475218
0.8137 Intermediate Similarity NPC475358
0.8137 Intermediate Similarity NPC473566
0.8036 Intermediate Similarity NPC475437
0.8036 Intermediate Similarity NPC475464
0.8017 Intermediate Similarity NPC475531
0.8017 Intermediate Similarity NPC475198
0.7963 Intermediate Similarity NPC474564
0.7724 Intermediate Similarity NPC476090
0.7589 Intermediate Similarity NPC475613
0.729 Intermediate Similarity NPC102015
0.7168 Intermediate Similarity NPC475536
0.7054 Intermediate Similarity NPC165234
0.7054 Intermediate Similarity NPC481659
0.7054 Intermediate Similarity NPC271687
0.6695 Remote Similarity NPC481654
0.6667 Remote Similarity NPC481661
0.6667 Remote Similarity NPC481655
0.6667 Remote Similarity NPC481650
0.6639 Remote Similarity NPC475567
0.6172 Remote Similarity NPC481660
0.5614 Remote Similarity NPC473519
0.5484 Remote Similarity NPC473468
0.5462 Remote Similarity NPC473805
0.5439 Remote Similarity NPC481657
0.5424 Remote Similarity NPC481658
0.5424 Remote Similarity NPC79250
0.5424 Remote Similarity NPC290746
0.542 Remote Similarity NPC478508
0.542 Remote Similarity NPC478510
0.542 Remote Similarity NPC478509
0.5414 Remote Similarity NPC481648
0.536 Remote Similarity NPC481662
0.5267 Remote Similarity NPC473557
0.5042 Remote Similarity NPC479287

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC70236 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
NPD

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