Natural Product: NPC159623

Natural Product IDNPC159623
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Knerachelin A
IUPAC Name 1-(2,6-dihydroxy-4-methoxyphenyl)-5-phenylpentan-1-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL456302
PubChem CID 197624
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003670] Aryl ketones
              • [CHEMONTID:0004296] Phenylketones
                • [CHEMONTID:0004298] Alkyl-phenylketones

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 ICBQRENZQVXEPH-UHFFFAOYSA-N
Standard InCHI InChI=1S/C18H20O4/c1-22-14-11-16(20)18(17(21)12-14)15(19)10-6-5-9-13-7-3-2-4-8-13/h2-4,7-8,11-12,20-21H,5-6,9-10H2,1H3
SMILES COc1cc(c(C(=O)CCCCc2ccccc2)c(c1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   300.14 Volume:   319.477
?
Van der Waals volume.
Dense:   0.939 LogP:   4.98
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.71
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.476
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   13.0
TPSA:   66.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.604 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   1.995 Fsp3:   0.278
MCE-18:   12.0
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.263 Fluc inhibitor:   0.682
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.233
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.523
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.341 Promiscuous compounds:   0.132

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.809 MDCK Permeability:   -4.64
Pgp-inhibitor:   0.958 Pgp-substrate:   0.054
PAMPA:   0.052
?
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):   0.004
20% Bioavailability (F20%):   0.01 30% Bioavailability (F30%):   0.249
50% Bioavailability (F50%):   0.87

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.38 MRP1:   0.256
Plasma Protein Binding (PPB):   98.649% Volume Distribution (VD):   0.121
Fu: 0.741%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.884
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.981 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.107 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.932 CYP2C9-substrate:   0.999
CYP2D6-inhibitor:   0.161 CYP2D6-substrate:   0.879
CYP3A4-inhibitor:   0.805 CYP3A4-substrate:   0.021
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
?
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):  5.193 Half-life (T1/2):  0.589

ADMET: Toxicity

hERG Blockers:  0.374 hERG Blockers (10um):  0.824
Human Hepatotoxicity (H-HT):  0.425 Drug-induced Liver Injury (DILI):  0.139
AMES Toxicity:  0.334 Rat Oral Acute Toxicity:  0.313
Maximum Recommended Daily Dose:  0.446 Skin Sensitization:  0.803
Carcinogencity:  0.189 Eye Corrosion:  0.066
Eye Irritation:  0.975 Respiratory Toxicity:  0.91
Drug-induced Neurotoxicity:  0.316 Ototoxicity:  0.171
Hematotoxicity:  0.234 Drug-induced Nephrotoxicity:  0.434
Genotoxicity:  0.039 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.693 Hek293 Cytotoxicity:  0.703
BCF:   2.153
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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:   4.646
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.073
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.46
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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
NPO5326 Knema furfuracea Species Myristicaceae Eukaryota n.a. n.a. n.a. PMID[8254357]
NPO5326 Knema furfuracea Species Myristicaceae 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
NPT174 Organism Streptococcus Streptococcus MIC = 8.0 ug.mL-1 PMID[9584401]
NPT1118 Organism Streptococcus pneumoniae Streptococcus pneumoniae MIC = 8.0 ug.mL-1 PMID[9584401]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT173 Organism Klebsiella pneumoniae Klebsiella pneumoniae MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 8.0 ug.mL-1 PMID[9584401]
NPT175 Organism Enterococcus faecalis Enterococcus faecalis MIC = 32.0 ug.mL-1 PMID[9584401]
NPT19 Organism Escherichia coli Escherichia coli MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT1531 Organism Enterococcus faecium Enterococcus faecium MIC = 32.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT720 Organism Enterobacter aerogenes Enterobacter aerogenes MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology
NPT1248 Organism Serratia marcescens Serratia marcescens MIC > 128.0 ug.mL-1 DrugMatrix in vivo data: Pathology

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 NPC159623 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
0.7273 Intermediate Similarity NPC195262
0.7273 Intermediate Similarity NPC294593
0.6596 Remote Similarity NPC188814
0.6596 Remote Similarity NPC608141
0.5957 Remote Similarity NPC204960
0.5918 Remote Similarity NPC485643
0.5714 Remote Similarity NPC82225
0.5686 Remote Similarity NPC28753
0.549 Remote Similarity NPC196976
0.537 Remote Similarity NPC475008
0.5357 Remote Similarity NPC475009
0.5192 Remote Similarity NPC475017
0.5185 Remote Similarity NPC194949
0.5088 Remote Similarity NPC186097

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC159623 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