Natural Product: NPC585468

Natural Product IDNPC585468
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[4-(5,7-dihydroxy-4-oxo-chromen-3-yl)phenyl] 2-hydroxy-6-methyl-benzoate
IUPAC Name [4-(5,7-dihydroxy-4-oxo-chromen-3-yl)phenyl] 2-hydroxy-6-methyl-benzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 PFDFQVZVAQCSHC-UHFFFAOYSA-N
Standard InCHI InChI=1S/C23H16O7/c1-12-3-2-4-17(25)20(12)23(28)30-15-7-5-13(6-8-15)16-11-29-19-10-14(24)9-18(26)21(19)22(16)27/h2-11,24-26H,1H3
SMILES CC1=CC=CC(O)=C1C(=O)OC1=CC=C(C2=COC3=CC(O)=CC(O)=C3C2=O)C=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   404.09 Volume:   402.032
?
Van der Waals volume.
Dense:   1.005 LogP:   3.74
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.198
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.745
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   25.0
TPSA:   117.2
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.347 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.504 Fsp3:   0.043
MCE-18:   24.0
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.949 Fluc inhibitor:   0.97
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.909
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.828
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.44 Promiscuous compounds:   0.422

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.162 MDCK Permeability:   -4.851
Pgp-inhibitor:   0.112 Pgp-substrate:   0.117
PAMPA:   0.509
?
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):   0.018
20% Bioavailability (F20%):   0.222 30% Bioavailability (F30%):   0.802
50% Bioavailability (F50%):   0.962

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.047 MRP1:   0.408
Plasma Protein Binding (PPB):   97.768% Volume Distribution (VD):   -0.566
Fu: 1.225%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.82
OATP1B3 inhibitor:   0.969 BCRP inhibitor:   0.861
BSEP inhibitor:   0.868

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.963
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.665
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.984
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.91
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.986
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.259
?
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):  1.418 Half-life (T1/2):  1.306

ADMET: Toxicity

hERG Blockers:  0.075 hERG Blockers (10um):  0.533
Human Hepatotoxicity (H-HT):  0.33 Drug-induced Liver Injury (DILI):  0.928
AMES Toxicity:  0.563 Rat Oral Acute Toxicity:  0.486
Maximum Recommended Daily Dose:  0.764 Skin Sensitization:  0.637
Carcinogencity:  0.518 Eye Corrosion:  0.008
Eye Irritation:  0.984 Respiratory Toxicity:  0.902
Drug-induced Neurotoxicity:  0.105 Ototoxicity:  0.195
Hematotoxicity:  0.066 Drug-induced Nephrotoxicity:  0.198
Genotoxicity:  0.954 RPMI-8226 Immunitoxicity:  0.084
A549 Cytotoxicity:  0.48 Hek293 Cytotoxicity:  0.649
BCF:   1.448
?
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:   4.675
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.644
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.394
?
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
NPO60656 Streptomyces sp. GW39/1530 Genus 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

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 NPC585468 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
0.6875 Remote Similarity NPC294409
0.6875 Remote Similarity NPC490701
0.5942 Remote Similarity NPC200316
0.5938 Remote Similarity NPC39426
0.5938 Remote Similarity NPC608554
0.5857 Remote Similarity NPC194653
0.5694 Remote Similarity NPC104728
0.5634 Remote Similarity NPC279668
0.5634 Remote Similarity NPC278323
0.5556 Remote Similarity NPC254702
0.5526 Remote Similarity NPC233918
0.5522 Remote Similarity NPC38065
0.5513 Remote Similarity NPC107838
0.5507 Remote Similarity NPC78341
0.5493 Remote Similarity NPC309154
0.5385 Remote Similarity NPC474052
0.5366 Remote Similarity NPC156457
0.5316 Remote Similarity NPC303197
0.5303 Remote Similarity NPC193792
0.5263 Remote Similarity NPC213659
0.5263 Remote Similarity NPC326109
0.5256 Remote Similarity NPC479305
0.5205 Remote Similarity NPC481044
0.5139 Remote Similarity NPC239363
0.5135 Remote Similarity NPC142876
0.5135 Remote Similarity NPC483637
0.5135 Remote Similarity NPC264550
0.5128 Remote Similarity NPC475705
0.5128 Remote Similarity NPC268059
0.5125 Remote Similarity NPC231763
0.5072 Remote Similarity NPC87545
0.507 Remote Similarity NPC116632
0.507 Remote Similarity NPC35763

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC585468 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
0.5938 Remote Similarity NPD1510 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