Natural Product: NPC566536

Natural Product IDNPC566536
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{R},5~{R},7~{S},8~{S},18~{R})-7-hydroxy-5,7,8-trimethyl-2,10,19-trioxa-15-azatetracyclo[10.5.1.1^{5,8}.0^{15,18}]nonadec-12-ene-3,9-dione
IUPAC Name (1~{R},5~{R},7~{S},8~{S},18~{R})-7-hydroxy-5,7,8-trimethyl-2,10,19-trioxa-15-azatetracyclo[10.5.1.1^{5,8}.0^{15,18}]nonadec-12-ene-3,9-dione
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000147] Macrolides and analogues

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 GWTBIOYPNDRFRJ-XGNQHNIGSA-N
Standard InCHI InChI=1S/C18H25NO6/c1-16-8-13(20)24-12-5-7-19-6-4-11(14(12)19)9-23-15(21)18(3,25-16)17(2,22)10-16/h4,12,14,22H,5-10H2,1-3H3/t12-,14-,16+,17+,18-/m1/s1
SMILES C[C@@]12CC(=O)O[C@@H]3CCN4CC=C(COC(=O)[C@@](C)(O1)[C@@](C)(O)C2)[C@H]34

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   351.17 Volume:   341.487
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Van der Waals volume.
Dense:   1.028 LogP:   0.65
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.084
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.759
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   24.0
TPSA:   85.3
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.504 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.122 Fsp3:   0.778
MCE-18:   72.562
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.017 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.039
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.204
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.005 Promiscuous compounds:   0.669

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.106 MDCK Permeability:   -4.867
Pgp-inhibitor:   0.001 Pgp-substrate:   0.919
PAMPA:   0.99
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.0
20% Bioavailability (F20%):   0.11 30% Bioavailability (F30%):   0.066
50% Bioavailability (F50%):   0.887

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.459 MRP1:   0.979
Plasma Protein Binding (PPB):   24.42% Volume Distribution (VD):   0.026
Fu: 73.78%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.98
OATP1B3 inhibitor:   0.937 BCRP inhibitor:   0.003
BSEP inhibitor:   0.909

ADMET: Metabolism

CYP1A2-inhibitor:   0.967 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.942 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.049 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.225
CYP3A4-inhibitor:   0.965 CYP3A4-substrate:   0.139
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.062
HLM stability:   0.389
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Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  8.727 Half-life (T1/2):  2.712

ADMET: Toxicity

hERG Blockers:  0.051 hERG Blockers (10um):  0.175
Human Hepatotoxicity (H-HT):  0.658 Drug-induced Liver Injury (DILI):  0.3
AMES Toxicity:  0.77 Rat Oral Acute Toxicity:  0.466
Maximum Recommended Daily Dose:  0.862 Skin Sensitization:  0.998
Carcinogencity:  0.946 Eye Corrosion:  0.005
Eye Irritation:  0.34 Respiratory Toxicity:  0.08
Drug-induced Neurotoxicity:  0.488 Ototoxicity:  0.28
Hematotoxicity:  0.347 Drug-induced Nephrotoxicity:  0.96
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.141
A549 Cytotoxicity:  0.021 Hek293 Cytotoxicity:  0.265
BCF:   0.402
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.039
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.425
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.672
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO45517 Senecio bracteatum Genus Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25227 Senecio roseus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO48946 Syncrossus helodes Species Botiidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25227 Senecio roseus Species Asteraceae 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 NPC566536 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
0.7258 Intermediate Similarity NPC610562
0.5821 Remote Similarity NPC30911
0.5821 Remote Similarity NPC608092
0.5714 Remote Similarity NPC23963
0.5694 Remote Similarity NPC600980
0.5571 Remote Similarity NPC609037
0.5507 Remote Similarity NPC130124
0.5507 Remote Similarity NPC193471
0.5507 Remote Similarity NPC608663
0.5493 Remote Similarity NPC316984
0.5493 Remote Similarity NPC608959
0.5429 Remote Similarity NPC608751
0.5352 Remote Similarity NPC47857
0.5352 Remote Similarity NPC181510
0.5352 Remote Similarity NPC168758
0.5352 Remote Similarity NPC602310
0.5278 Remote Similarity NPC201889
0.5278 Remote Similarity NPC106791
0.5278 Remote Similarity NPC607716

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC566536 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
0.5821 Remote Similarity NPD2204 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