Natural Product: NPC295384

Natural Product IDNPC295384
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-Trihydroxy-6,8-Dimethylisoflavone
IUPAC Name 5,7-dihydroxy-3-(4-hydroxyphenyl)-6,8-dimethylchromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL512579
PubChem CID 637048
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002901] Isoflav-2-enes
          • [CHEMONTID:0000494] Isoflavones

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 VSEIMGCATUFLSE-UHFFFAOYSA-N
Standard InCHI InChI=1S/C17H14O5/c1-8-14(19)9(2)17-13(15(8)20)16(21)12(7-22-17)10-3-5-11(18)6-4-10/h3-7,18-20H,1-2H3
SMILES Oc1ccc(cc1)c1coc2c(c1=O)c(O)c(c(c2C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   298.08 Volume:   299.778
?
Van der Waals volume.
Dense:   0.994 LogP:   2.131
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.021
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.413
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   18.0
TPSA:   90.9
?
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:   0.642 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.518 Fsp3:   0.118
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:   0.689 Fluc inhibitor:   0.922
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.88
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.531
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.439 Promiscuous compounds:   0.25

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.055 MDCK Permeability:   -4.756
Pgp-inhibitor:   0.051 Pgp-substrate:   0.042
PAMPA:   0.92
?
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):   0.003
20% Bioavailability (F20%):   0.192 30% Bioavailability (F30%):   0.164
50% Bioavailability (F50%):   0.727

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.188 MRP1:   0.963
Plasma Protein Binding (PPB):   96.669% Volume Distribution (VD):   -0.36
Fu: 3.66%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.948
OATP1B3 inhibitor:   0.437 BCRP inhibitor:   0.175
BSEP inhibitor:   0.879

ADMET: Metabolism

CYP1A2-inhibitor:   0.984 CYP1A2-substrate:   0.933
CYP2C19-inhibitor:   0.119 CYP2C19-substrate:   0.888
CYP2C9-inhibitor:   0.979 CYP2C9-substrate:   0.125
CYP2D6-inhibitor:   0.98 CYP2D6-substrate:   0.935
CYP3A4-inhibitor:   0.008 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.958
HLM stability:   0.052
?
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):  5.43 Half-life (T1/2):  1.007

ADMET: Toxicity

hERG Blockers:  0.077 hERG Blockers (10um):  0.512
Human Hepatotoxicity (H-HT):  0.533 Drug-induced Liver Injury (DILI):  0.47
AMES Toxicity:  0.483 Rat Oral Acute Toxicity:  0.638
Maximum Recommended Daily Dose:  0.665 Skin Sensitization:  0.686
Carcinogencity:  0.577 Eye Corrosion:  0.054
Eye Irritation:  0.986 Respiratory Toxicity:  0.883
Drug-induced Neurotoxicity:  0.285 Ototoxicity:  0.254
Hematotoxicity:  0.149 Drug-induced Nephrotoxicity:  0.127
Genotoxicity:  0.9 RPMI-8226 Immunitoxicity:  0.074
A549 Cytotoxicity:  0.32 Hek293 Cytotoxicity:  0.581
BCF:   1.176
?
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:   4.13
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.77
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.442
?
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
NPO32723 henriettella fascicularis Species Melastomataceae Eukaryota n.a. n.a. n.a. PMID[12502307]

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
NPT248 Individual protein Estrogen receptor beta Homo sapiens IC50 = 880.0 nM DrugMatrix in vitro pharmacology data
NPT108 Individual protein Estrogen receptor alpha Homo sapiens IC50 = 10200.0 nM PMID[17524651]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2738 Cell line Ishikawa Homo sapiens IC50 > 20000.0 nM DrugMatrix in vitro pharmacology data
NPT2738 Cell line Ishikawa Homo sapiens IC50 = 10500.0 nM DrugMatrix in vitro pharmacology data

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 NPC295384 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
0.6607 Remote Similarity NPC483565
0.6066 Remote Similarity NPC204985
0.5441 Remote Similarity NPC117836
0.5441 Remote Similarity NPC51887
0.5424 Remote Similarity NPC131266
0.5424 Remote Similarity NPC269451
0.5397 Remote Similarity NPC144118
0.5373 Remote Similarity NPC6511
0.5357 Remote Similarity NPC39426
0.5345 Remote Similarity NPC487222
0.5283 Remote Similarity NPC250057
0.5231 Remote Similarity NPC222298
0.5231 Remote Similarity NPC604003
0.5217 Remote Similarity NPC237635
0.5211 Remote Similarity NPC327269
0.5156 Remote Similarity NPC259166
0.5152 Remote Similarity NPC24673
0.5082 Remote Similarity NPC216769
0.5082 Remote Similarity NPC303644
0.507 Remote Similarity NPC31627
0.507 Remote Similarity NPC201731

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC295384 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
0.5357 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