Natural Product: NPC151473

Natural Product IDNPC151473
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
1,3,5,6-Tetrahydroxy-8-Methylxanthone
IUPAC Name 3,4,6,8-tetrahydroxy-1-methylxanthen-9-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465184
PubChem CID 10401107
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0002817] Dibenzopyrans
            • [CHEMONTID:0000200] Xanthenes
              • [CHEMONTID:0000204] Xanthones

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 REMPMEBGVJJOHV-UHFFFAOYSA-N
Standard InCHI InChI=1S/C14H10O6/c1-5-2-8(17)12(18)14-10(5)13(19)11-7(16)3-6(15)4-9(11)20-14/h2-4,15-18H,1H3
SMILES Cc1cc(c(c2c1c(=O)c1c(cc(cc1o2)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   274.05 Volume:   259.317
?
Van der Waals volume.
Dense:   1.057 LogP:   1.465
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.673
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.001
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   17.0
TPSA:   111.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.369 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.72 Fsp3:   0.071
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:   1 PAINS Alert:   1
Colloidal aggregators:   0.796 Fluc inhibitor:   0.486
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.855
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.328
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.505 Promiscuous compounds:   0.539

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.465 MDCK Permeability:   -4.861
Pgp-inhibitor:   0.021 Pgp-substrate:   0.59
PAMPA:   0.447
?
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):   0.046
20% Bioavailability (F20%):   0.543 30% Bioavailability (F30%):   0.96
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.018 MRP1:   0.775
Plasma Protein Binding (PPB):   97.131% Volume Distribution (VD):   -0.684
Fu: 2.481%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.719
OATP1B3 inhibitor:   0.892 BCRP inhibitor:   0.955
BSEP inhibitor:   0.347

ADMET: Metabolism

CYP1A2-inhibitor:   0.42 CYP1A2-substrate:   0.085
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.656
CYP2C9-inhibitor:   0.566 CYP2C9-substrate:   0.019
CYP2D6-inhibitor:   0.972 CYP2D6-substrate:   0.989
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.942
?
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):  6.278 Half-life (T1/2):  1.476

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.437
Human Hepatotoxicity (H-HT):  0.409 Drug-induced Liver Injury (DILI):  0.849
AMES Toxicity:  0.727 Rat Oral Acute Toxicity:  0.538
Maximum Recommended Daily Dose:  0.775 Skin Sensitization:  0.797
Carcinogencity:  0.687 Eye Corrosion:  0.34
Eye Irritation:  0.998 Respiratory Toxicity:  0.729
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.098
Hematotoxicity:  0.052 Drug-induced Nephrotoxicity:  0.014
Genotoxicity:  0.979 RPMI-8226 Immunitoxicity:  0.034
A549 Cytotoxicity:  0.419 Hek293 Cytotoxicity:  0.554
BCF:   1.237
?
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:   3.924
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.727
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.29
?
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
NPO1865 Penicillium raistrickii Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[9748377]
NPO1865 Penicillium raistrickii Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6825 Clethra barbinervis Species Clethraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1865 Penicillium raistrickii Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO556 Hypericum attenuatum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4553 Oxycorynia fascicularis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO5580 Alstonia glaucescens Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4265 Trichocereus pachanoi Species Cactaceae 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 IZ = 12.0 mm PMID[9748377]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus IZ = 11.0 mm PMID[9748377]

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 NPC151473 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
0.7021 Intermediate Similarity NPC275734
0.6296 Remote Similarity NPC486841
0.6078 Remote Similarity NPC202157
0.6078 Remote Similarity NPC196277
0.5593 Remote Similarity NPC274730
0.549 Remote Similarity NPC61620
0.549 Remote Similarity NPC194856
0.5357 Remote Similarity NPC202595
0.5246 Remote Similarity NPC329091
0.5185 Remote Similarity NPC272721
0.5167 Remote Similarity NPC89474
0.5135 Remote Similarity NPC120102
0.5094 Remote Similarity NPC169479
0.5094 Remote Similarity NPC276930
0.5085 Remote Similarity NPC487785

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC151473 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