Natural Product: NPC278787

Natural Product IDNPC278787
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-Hydroxyxanthen-9-One
IUPAC Name 2-hydroxyxanthen-9-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL185960
PubChem CID 74708
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 WSACHQJPCNOREV-UHFFFAOYSA-N
Standard InCHI InChI=1S/C13H8O3/c14-8-5-6-12-10(7-8)13(15)9-3-1-2-4-11(9)16-12/h1-7,14H
SMILES Oc1ccc2c(c1)c(=O)c1c(o2)cccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   212.05 Volume:   215.65
?
Van der Waals volume.
Dense:   0.983 LogP:   2.667
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.808
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.357
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   17.0
TPSA:   50.44
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.583 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   1.854 Fsp3:   0.0
MCE-18:   15.0
?
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:   0.274 Fluc inhibitor:   0.989
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.811
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.336
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.808 Promiscuous compounds:   0.809

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.836 MDCK Permeability:   -4.738
Pgp-inhibitor:   0.289 Pgp-substrate:   0.115
PAMPA:   0.674
?
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):   0.042
20% Bioavailability (F20%):   0.197 30% Bioavailability (F30%):   0.461
50% Bioavailability (F50%):   0.829

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.191 MRP1:   0.539
Plasma Protein Binding (PPB):   86.835% Volume Distribution (VD):   0.049
Fu: 12.373%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.659
OATP1B3 inhibitor:   0.941 BCRP inhibitor:   0.737
BSEP inhibitor:   0.926

ADMET: Metabolism

CYP1A2-inhibitor:   0.911 CYP1A2-substrate:   0.3
CYP2C19-inhibitor:   0.096 CYP2C19-substrate:   0.305
CYP2C9-inhibitor:   0.822 CYP2C9-substrate:   0.872
CYP2D6-inhibitor:   0.716 CYP2D6-substrate:   0.1
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   0.707
CYP2B6-substrate:   0.093 CYP2C8-inhibitor:   0.936
HLM stability:   0.513
?
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):  7.092 Half-life (T1/2):  1.166

ADMET: Toxicity

hERG Blockers:  0.115 hERG Blockers (10um):  0.486
Human Hepatotoxicity (H-HT):  0.524 Drug-induced Liver Injury (DILI):  0.711
AMES Toxicity:  0.672 Rat Oral Acute Toxicity:  0.5
Maximum Recommended Daily Dose:  0.54 Skin Sensitization:  0.507
Carcinogencity:  0.823 Eye Corrosion:  0.594
Eye Irritation:  0.994 Respiratory Toxicity:  0.72
Drug-induced Neurotoxicity:  0.243 Ototoxicity:  0.119
Hematotoxicity:  0.195 Drug-induced Nephrotoxicity:  0.098
Genotoxicity:  0.72 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.121 Hek293 Cytotoxicity:  0.334
BCF:   1.333
?
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:   4.147
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.905
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.607
?
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
NPO18656 Iphigenia indica Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18656 Iphigenia indica Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18656 Iphigenia indica Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18656 Iphigenia indica Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18656 Iphigenia indica Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19688 Mangifera odorata Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27687 Peliosanthes sinica Species Asparagaceae 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
NPT261 Individual protein Monoamine oxidase A Homo sapiens IC50 = 3800.0 nM PMID[15482934]
NPT741 Individual protein Tyrosinase Homo sapiens IC50 = 5600.0 nM PMID[33242700]
NPT741 Individual protein Tyrosinase Homo sapiens Inhibition = 89.32 % PMID[33242700]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT520 Cell line 3T3-L1 Mus musculus Activity = 0.0 % PMID[29626799]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT617 Organism Danio rerio Danio rerio EC50 = 760.0 nM PMID[29626799]
NPT617 Organism Danio rerio Danio rerio Activity = 0.0 % PMID[29626799]





 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 NPC278787 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
0.8 Intermediate Similarity NPC141549
0.7317 Intermediate Similarity NPC159855
0.7073 Intermediate Similarity NPC601623
0.6857 Remote Similarity NPC475269
0.6857 Remote Similarity NPC35744
0.6744 Remote Similarity NPC18457
0.6667 Remote Similarity NPC606736
0.6364 Remote Similarity NPC600210
0.6279 Remote Similarity NPC602252
0.617 Remote Similarity NPC145673
0.587 Remote Similarity NPC239495
0.587 Remote Similarity NPC169479
0.5833 Remote Similarity NPC200221
0.551 Remote Similarity NPC292214
0.551 Remote Similarity NPC17055
0.54 Remote Similarity NPC206238
0.54 Remote Similarity NPC608745
0.5294 Remote Similarity NPC271779
0.5294 Remote Similarity NPC88645
0.52 Remote Similarity NPC610896
0.5192 Remote Similarity NPC188167

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC278787 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