Natural Product: NPC316029

Natural Product IDNPC316029
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Violapyrone C
IUPAC Name 4-hydroxy-3-methyl-6-(5-methylheptyl)pyran-2-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3087383
PubChem CID 71607046
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000086] Pyrans
        • [CHEMONTID:0000481] Pyranones 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 CWVDWOPGUAUQDD-UHFFFAOYSA-N
Standard InCHI InChI=1S/C14H22O3/c1-4-10(2)7-5-6-8-12-9-13(15)11(3)14(16)17-12/h9-10,15H,4-8H2,1-3H3
SMILES CCC(CCCCc1cc(O)c(c(=O)o1)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   238.16 Volume:   260.605
?
Van der Waals volume.
Dense:   0.914 LogP:   3.674
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.375
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.741
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   7.0
TPSA:   50.44
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.773 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.016 Fsp3:   0.643
MCE-18:   16.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.268 Fluc inhibitor:   0.015
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.013
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.413
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.649 Promiscuous compounds:   0.032

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.894 MDCK Permeability:   -4.627
Pgp-inhibitor:   0.219 Pgp-substrate:   0.018
PAMPA:   0.081
?
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):   0.009
20% Bioavailability (F20%):   0.291 30% Bioavailability (F30%):   0.432
50% Bioavailability (F50%):   0.291

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.507 MRP1:   0.982
Plasma Protein Binding (PPB):   96.706% Volume Distribution (VD):   0.076
Fu: 3.633%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.263
OATP1B3 inhibitor:   0.801 BCRP inhibitor:   0.024
BSEP inhibitor:   0.961

ADMET: Metabolism

CYP1A2-inhibitor:   0.787 CYP1A2-substrate:   0.541
CYP2C19-inhibitor:   0.902 CYP2C19-substrate:   0.997
CYP2C9-inhibitor:   0.528 CYP2C9-substrate:   0.054
CYP2D6-inhibitor:   0.06 CYP2D6-substrate:   0.868
CYP3A4-inhibitor:   0.974 CYP3A4-substrate:   0.713
CYP2B6-substrate:   0.059 CYP2C8-inhibitor:   1.0
HLM stability:   0.923
?
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):  4.816 Half-life (T1/2):  0.585

ADMET: Toxicity

hERG Blockers:  0.125 hERG Blockers (10um):  0.606
Human Hepatotoxicity (H-HT):  0.49 Drug-induced Liver Injury (DILI):  0.108
AMES Toxicity:  0.301 Rat Oral Acute Toxicity:  0.33
Maximum Recommended Daily Dose:  0.249 Skin Sensitization:  0.83
Carcinogencity:  0.468 Eye Corrosion:  0.966
Eye Irritation:  0.996 Respiratory Toxicity:  0.82
Drug-induced Neurotoxicity:  0.095 Ototoxicity:  0.212
Hematotoxicity:  0.237 Drug-induced Nephrotoxicity:  0.073
Genotoxicity:  0.009 RPMI-8226 Immunitoxicity:  0.072
A549 Cytotoxicity:  0.225 Hek293 Cytotoxicity:  0.248
BCF:   1.839
?
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:   4.567
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.594
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.253
?
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
NPO11517 Streptomyces violascens Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[24182355]
NPO11517 Streptomyces violascens Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[28206772]
NPO11517 Streptomyces violascens Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]

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
NPT393 Cell line HCT-116 Homo sapiens IC50 > 200000.0 nM PMID[24182355]
NPT165 Cell line HeLa Homo sapiens IC50 > 200000.0 nM PMID[24182355]
NPT65 Cell line HepG2 Homo sapiens IC50 > 200000.0 nM PMID[24182355]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 16.0 ug.mL-1 PMID[24182355]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 200000.0 nM PMID[24182355]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 16.0 ug.mL-1 PMID[24182355]

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 NPC316029 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
0.8537 High Similarity NPC313444
0.7778 Intermediate Similarity NPC316324
0.7778 Intermediate Similarity NPC315394
0.7619 Intermediate Similarity NPC315115
0.75 Intermediate Similarity NPC315597
0.6098 Remote Similarity NPC601792
0.5833 Remote Similarity NPC485077
0.5833 Remote Similarity NPC265050
0.5833 Remote Similarity NPC485078
0.5833 Remote Similarity NPC294618
0.5833 Remote Similarity NPC485079
0.5745 Remote Similarity NPC485076
0.5385 Remote Similarity NPC485069
0.5319 Remote Similarity NPC485075
0.5294 Remote Similarity NPC485068
0.5283 Remote Similarity NPC485070
0.5283 Remote Similarity NPC485071
0.5283 Remote Similarity NPC485072

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC316029 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