Natural Product: NPC479184

Natural Product IDNPC479184
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PRSNJXPAQBUJBL-DXKHDLERSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101676777
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0000676] Taxanes and derivatives

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 PRSNJXPAQBUJBL-DXKHDLERSA-N
Standard InCHI InChI=1S/C51H65NO18/c1-8-9-12-21-35(56)52-37(29-17-13-10-14-18-29)39(58)46(62)67-32-23-51(63)44(69-45(61)30-19-15-11-16-20-30)42-49(7,43(60)41(66-27(3)53)36(26(32)2)48(51,5)6)33(22-34-50(42,25-65-34)70-28(4)54)68-47-40(59)38(57)31(55)24-64-47/h10-11,13-20,31-34,37-42,44,47,55,57-59,63H,8-9,12,21-25H2,1-7H3,(H,52,56)/t31-,32+,33+,34-,37+,38+,39-,40-,41-,42+,44+,47+,49-,50+,51-/m1/s1
SMILES CCCCCC(=N[C@@H](c1ccccc1)[C@H](C(=O)O[C@H]1C[C@]2([C@H]([C@H]3[C@@](C)([C@H](C[C@@H]4[C@]3(CO4)OC(=O)C)O[C@H]3[C@@H]([C@H]([C@@H](CO3)O)O)O)C(=O)[C@@H](C(=C1C)C2(C)C)OC(=O)C)OC(=O)c1ccccc1)O)O)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
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota needles Himalayan n.a. PMID[16480866]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota Stem Bark n.a. n.a. PMID[28240909]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota Roots n.a. n.a. PMID[28581744]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7264680]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23720 Taxus wallichiana Species Taxaceae 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
NPT165 Cell line HeLa Homo sapiens IC50 = 1.5 nM PMID[28240909]
NPT2 Others Unspecified n.a. IC50 = 94100.0 nM PMID[28240909]

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 NPC479184 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
0.8807 High Similarity NPC472391
0.8727 High Similarity NPC479185
0.8482 Intermediate Similarity NPC472375
0.8455 Intermediate Similarity NPC116862
0.7568 Intermediate Similarity NPC471629
0.7568 Intermediate Similarity NPC306001
0.7521 Intermediate Similarity NPC479173
0.7373 Intermediate Similarity NPC479186
0.7321 Intermediate Similarity NPC324251
0.7321 Intermediate Similarity NPC206211
0.713 Intermediate Similarity NPC275170
0.7119 Intermediate Similarity NPC289383
0.6724 Remote Similarity NPC33372
0.6724 Remote Similarity NPC67246
0.6667 Remote Similarity NPC487360
0.6667 Remote Similarity NPC479182
0.6667 Remote Similarity NPC479180
0.6667 Remote Similarity NPC471493
0.6581 Remote Similarity NPC471754
0.65 Remote Similarity NPC486061
0.65 Remote Similarity NPC486060
0.6496 Remote Similarity NPC208553
0.6496 Remote Similarity NPC181964
0.6496 Remote Similarity NPC307628
0.6446 Remote Similarity NPC487361
0.6356 Remote Similarity NPC471623
0.6134 Remote Similarity NPC473490
0.6111 Remote Similarity NPC472392
0.6 Remote Similarity NPC478328
0.595 Remote Similarity NPC453583
0.5868 Remote Similarity NPC327699
0.5854 Remote Similarity NPC478329
0.5772 Remote Similarity NPC479183
0.5772 Remote Similarity NPC479181
0.561 Remote Similarity NPC321072
0.561 Remote Similarity NPC215892
0.561 Remote Similarity NPC242662
0.5565 Remote Similarity NPC191193
0.5484 Remote Similarity NPC102167
0.5484 Remote Similarity NPC488127
0.544 Remote Similarity NPC453588
0.544 Remote Similarity NPC473400
0.5403 Remote Similarity NPC36607
0.5378 Remote Similarity NPC603140
0.5197 Remote Similarity NPC603171

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC479184 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
0.693 Remote Similarity NPD8435 Phase 4
0.6496 Remote Similarity NPD8485 Phase 4
0.6134 Remote Similarity NPD8424 Phase 3
0.5887 Remote Similarity NPD8486 Phase 1
0.5484 Remote Similarity NPD8360 Approved
0.5484 Remote Similarity NPD8361 Phase 4
0.5145 Remote Similarity NPD8462 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