Natural Product: NPC243528

Natural Product IDNPC243528
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 Anguvetin
IUPAC Name 1-[2,4-dihydroxy-3-[(2-hydroxyphenyl)methyl]-6-methoxy-5-methylphenyl]-3-phenylpropan-1-one
Synonyms Anguvetin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL452756
PubChem CID 158308
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids

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 AJLNIEILVUYJPG-UHFFFAOYSA-N
Standard InCHI InChI=1S/C24H24O5/c1-15-22(27)18(14-17-10-6-7-11-19(17)25)23(28)21(24(15)29-2)20(26)13-12-16-8-4-3-5-9-16/h3-11,25,27-28H,12-14H2,1-2H3
SMILES COc1c(C(=O)CCc2ccccc2)c(O)c(c(c1C)O)Cc1ccccc1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   392.16 Volume:   415.577
?
Van der Waals volume.
Dense:   0.944 LogP:   3.992
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.235
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -3.516
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   19.0
TPSA:   86.99
?
Topological Polar Surface Area.
 H-Bond Acceptor:   5.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.515 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.428 Fsp3:   0.208
MCE-18:   19.0
?
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:   0.931 Fluc inhibitor:   0.074
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.545
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.445
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.337 Promiscuous compounds:   0.04

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.095 MDCK Permeability:   -4.732
Pgp-inhibitor:   0.984 Pgp-substrate:   0.001
PAMPA:   0.704
?
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):   0.031
20% Bioavailability (F20%):   0.086 30% Bioavailability (F30%):   0.796
50% Bioavailability (F50%):   0.931

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.009 MRP1:   0.945
Plasma Protein Binding (PPB):   98.276% Volume Distribution (VD):   0.173
Fu: 1.444%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.778
OATP1B3 inhibitor:   0.796 BCRP inhibitor:   0.005
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   0.967
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   0.999
CYP2C9-inhibitor:   0.589 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.528 CYP2D6-substrate:   0.722
CYP3A4-inhibitor:   0.977 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   0.805
?
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):  7.136 Half-life (T1/2):  0.685

ADMET: Toxicity

hERG Blockers:  0.096 hERG Blockers (10um):  0.809
Human Hepatotoxicity (H-HT):  0.601 Drug-induced Liver Injury (DILI):  0.024
AMES Toxicity:  0.24 Rat Oral Acute Toxicity:  0.207
Maximum Recommended Daily Dose:  0.371 Skin Sensitization:  0.88
Carcinogencity:  0.199 Eye Corrosion:  0.116
Eye Irritation:  0.974 Respiratory Toxicity:  0.965
Drug-induced Neurotoxicity:  0.254 Ototoxicity:  0.104
Hematotoxicity:  0.099 Drug-induced Nephrotoxicity:  0.124
Genotoxicity:  0.315 RPMI-8226 Immunitoxicity:  0.06
A549 Cytotoxicity:  0.373 Hek293 Cytotoxicity:  0.657
BCF:   1.409
?
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:   4.754
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.84
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   5.458
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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
NPO12116 Anabasis brevifolia Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17722 Athroisma gracile Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15901 Pentanema indicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18174 Rinodina lepida Species Physciaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8708 Vibrio cholerae Species Vibrionaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO8708 Vibrio cholerae Species Vibrionaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO12116 Anabasis brevifolia Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18174 Rinodina lepida Species Physciaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15901 Pentanema indicum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17722 Athroisma gracile 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
NPT79 Organism Bacillus subtilis Bacillus subtilis Activity = 0.2 ug ml-1 DOI[10.1021/np50021a016]
NPT602 Organism Mycobacterium smegmatis Mycobacterium smegmatis Activity = 1.5 ug ml-1 DOI[10.1021/np50021a016]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus Activity = 1.5 ug ml-1 DOI[10.1021/np50021a016]

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 NPC243528 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
0.8214 Intermediate Similarity NPC26238
0.7414 Intermediate Similarity NPC251681
0.678 Remote Similarity NPC183870
0.6727 Remote Similarity NPC103842
0.5424 Remote Similarity NPC28753
0.5246 Remote Similarity NPC194949
0.5224 Remote Similarity NPC122894
0.5091 Remote Similarity NPC608363

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC243528 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