Natural Product: NPC486126

Natural Product IDNPC486126
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZDVIABVNEDLARA-VWCMKLTGSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 127026640
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 ZDVIABVNEDLARA-VWCMKLTGSA-N
Standard InCHI InChI=1S/C29H44O8/c1-15-24(31)26(34-3)25(32)27(36-15)37-18-5-6-19-16(12-18)4-7-22-20(19)8-10-28(2)21(9-11-29(22,28)33)17-13-23(30)35-14-17/h13,15-16,18-22,24-27,31-33H,4-12,14H2,1-3H3/t15-,16+,18-,19-,20+,21+,22+,24-,25-,26+,27-,28+,29-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@@H]([C@@H](O1)O[C@H]1CC[C@H]2[C@H](CC[C@@H]3[C@@H]2CC[C@]2(C)[C@H](CC[C@]32O)C2=CC(=O)OC2)C1)O)OC)O

  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
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[26714048]
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[39027575]
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8402 Thevetia peruviana Species Apocynaceae 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
NPT1312 Cell line SW1990 Homo sapiens IC50 = 530.0 nM PMID[26714048]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 210.0 nM PMID[26714048]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 570.0 nM PMID[26714048]
NPT27 Others Unspecified n.a. IC50 > 10000.0 nM PMID[26714048]

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 NPC486126 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
0.7564 Intermediate Similarity NPC486129
0.7375 Intermediate Similarity NPC199428
0.7375 Intermediate Similarity NPC109448
0.7375 Intermediate Similarity NPC310341
0.7284 Intermediate Similarity NPC250556
0.7195 Intermediate Similarity NPC305574
0.7011 Intermediate Similarity NPC486127
0.6705 Remote Similarity NPC486151
0.6559 Remote Similarity NPC486128
0.6374 Remote Similarity NPC55532
0.6047 Remote Similarity NPC479356
0.6047 Remote Similarity NPC479355
0.5789 Remote Similarity NPC469749
0.5747 Remote Similarity NPC309034
0.5652 Remote Similarity NPC5883
0.5632 Remote Similarity NPC99620
0.5618 Remote Similarity NPC84949
0.5618 Remote Similarity NPC480562
0.5618 Remote Similarity NPC74945
0.5618 Remote Similarity NPC31354
0.5618 Remote Similarity NPC69576
0.5506 Remote Similarity NPC6108
0.5506 Remote Similarity NPC469750
0.5506 Remote Similarity NPC89514
0.5495 Remote Similarity NPC483822
0.5495 Remote Similarity NPC93883
0.5474 Remote Similarity NPC480910
0.5474 Remote Similarity NPC480909
0.5444 Remote Similarity NPC76572
0.5444 Remote Similarity NPC193382
0.5385 Remote Similarity NPC180079
0.5333 Remote Similarity NPC17896
0.5333 Remote Similarity NPC469755
0.5333 Remote Similarity NPC284406
0.5333 Remote Similarity NPC34390
0.5333 Remote Similarity NPC197707
0.5333 Remote Similarity NPC251866
0.5312 Remote Similarity NPC486130
0.5281 Remote Similarity NPC479351
0.5281 Remote Similarity NPC99728
0.5281 Remote Similarity NPC87250
0.5281 Remote Similarity NPC244402
0.5281 Remote Similarity NPC479352
0.5281 Remote Similarity NPC50305
0.5222 Remote Similarity NPC196429
0.5208 Remote Similarity NPC27363
0.5204 Remote Similarity NPC486143
0.5204 Remote Similarity NPC486135
0.5204 Remote Similarity NPC486142
0.5204 Remote Similarity NPC486137
0.5204 Remote Similarity NPC486149
0.5165 Remote Similarity NPC5311
0.5165 Remote Similarity NPC157376
0.5165 Remote Similarity NPC77299
0.5165 Remote Similarity NPC480906
0.5165 Remote Similarity NPC142066
0.5165 Remote Similarity NPC603972
0.5152 Remote Similarity NPC232785
0.5152 Remote Similarity NPC486139
0.5111 Remote Similarity NPC471633
0.5109 Remote Similarity NPC10823
0.5109 Remote Similarity NPC480914
0.5055 Remote Similarity NPC219085

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486126 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
0.7284 Intermediate Similarity NPD7507 Pre-clinical
0.5333 Remote Similarity NPD7319 Approved

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