Natural Product: NPC262286

Natural Product IDNPC262286
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cowaxanthone
IUPAC Name 2-[(2E)-3,7-dimethylocta-2,6-dienyl]-1,3,6-trihydroxy-7-methoxyxanthen-9-one
Synonyms Cowaxanthone
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL517161
PubChem CID 10386850
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
                • [CHEMONTID:0003517] 2-prenylated 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 VEGUCVDYIMCIAZ-RIYZIHGNSA-N
Standard InCHI InChI=1S/C24H26O6/c1-13(2)6-5-7-14(3)8-9-15-17(25)11-21-22(23(15)27)24(28)16-10-20(29-4)18(26)12-19(16)30-21/h6,8,10-12,25-27H,5,7,9H2,1-4H3/b14-8+
SMILES COc1cc2c(cc1O)oc1c(c2=O)c(O)c(c(c1)O)C/C=C(/CCC=C(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   410.17 Volume:   427.004
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Van der Waals volume.
Dense:   0.961 LogP:   5.934
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.086
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.655
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   19.0
TPSA:   100.13
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.376 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.945 Fsp3:   0.292
MCE-18:   21.0
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.879 Fluc inhibitor:   0.596
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.987
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.755
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.188 Promiscuous compounds:   0.099

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.044 MDCK Permeability:   -4.666
Pgp-inhibitor:   0.995 Pgp-substrate:   0.022
PAMPA:   0.005
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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):   0.014
20% Bioavailability (F20%):   0.169 30% Bioavailability (F30%):   0.691
50% Bioavailability (F50%):   0.992

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.864
Plasma Protein Binding (PPB):   96.815% Volume Distribution (VD):   -0.01
Fu: 3.126%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.892
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.009 CYP1A2-substrate:   0.989
CYP2C19-inhibitor:   0.687 CYP2C19-substrate:   0.231
CYP2C9-inhibitor:   0.61 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.891 CYP2D6-substrate:   0.727
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.881
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.948
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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):  1.922 Half-life (T1/2):  1.502

ADMET: Toxicity

hERG Blockers:  0.063 hERG Blockers (10um):  0.56
Human Hepatotoxicity (H-HT):  0.649 Drug-induced Liver Injury (DILI):  0.872
AMES Toxicity:  0.327 Rat Oral Acute Toxicity:  0.64
Maximum Recommended Daily Dose:  0.699 Skin Sensitization:  0.934
Carcinogencity:  0.622 Eye Corrosion:  0.013
Eye Irritation:  0.971 Respiratory Toxicity:  0.956
Drug-induced Neurotoxicity:  0.051 Ototoxicity:  0.207
Hematotoxicity:  0.181 Drug-induced Nephrotoxicity:  0.136
Genotoxicity:  0.886 RPMI-8226 Immunitoxicity:  0.141
A549 Cytotoxicity:  0.472 Hek293 Cytotoxicity:  0.631
BCF:   2.061
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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:   5.028
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.377
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.929
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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
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. DOI[10.1071/CH03175]
NPO18783 Garcinia fusca Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[12608849]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota twigs n.a. n.a. PMID[20058933]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota young fruits Khokkhon, Tha Bo District, Nong Khai Province, Thailand 2011-Aug PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota flowers Pakook, Muang District, Chiang Rai Province, Thailand 2013-Feb PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota Leaves n.a. n.a. PMID[31860303]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18783 Garcinia fusca Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18783 Garcinia fusca Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22337 Garcinia dulcis Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25472 Garcinia cowa Species Clusiaceae 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
NPT80 Cell line Raji Homo sapiens Activity = 70.0 % PMID[12608849]
NPT80 Cell line Raji Homo sapiens Activity > 80.0 % PMID[12608849]
NPT165 Cell line HeLa Homo sapiens IC50 = 15750.0 nM PMID[30684866]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 1.5 ug.mL-1 PMID[19299148]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC = 128.0 ug.mL-1 PMID[25651042]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 64.0 ug.mL-1 PMID[25651042]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 128.0 ug.mL-1 PMID[25651042]
NPT19 Organism Escherichia coli Escherichia coli MIC > 128.0 ug.mL-1 PMID[25651042]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC = 128.0 ug.mL-1 PMID[25651042]
NPT2 Others Unspecified n.a. Inhibition = 0.0 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 40.6 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 76.6 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 97.5 % PMID[12608849]
NPT2 Others Unspecified n.a. IC50 = 398.0 molar ratio PMID[12608849]
NPT314 Organism Bacillus cereus Bacillus cereus MIC = 64.0 ug.mL-1 PMID[25651042]
NPT2 Others Unspecified n.a. Inhibition > 100.0 % PMID[25651042]
NPT28736 Protein family Alpha-glucosidase Saccharomyces cerevisiae S288c IC50 = 44000.0 nM PMID[30282319]

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 NPC262286 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
0.726 Intermediate Similarity NPC40491
0.726 Intermediate Similarity NPC278052
0.6795 Remote Similarity NPC7483
0.6795 Remote Similarity NPC74766
0.6486 Remote Similarity NPC227337
0.6301 Remote Similarity NPC68093
0.6267 Remote Similarity NPC236796
0.5974 Remote Similarity NPC320359
0.589 Remote Similarity NPC228785
0.5854 Remote Similarity NPC488441
0.5753 Remote Similarity NPC488548
0.5679 Remote Similarity NPC133392
0.5679 Remote Similarity NPC472448
0.5676 Remote Similarity NPC602307
0.557 Remote Similarity NPC61010
0.5542 Remote Similarity NPC479155
0.55 Remote Similarity NPC300727
0.5443 Remote Similarity NPC25152
0.5342 Remote Similarity NPC186397
0.525 Remote Similarity NPC37684
0.525 Remote Similarity NPC212932
0.5185 Remote Similarity NPC310349
0.5128 Remote Similarity NPC217677
0.5114 Remote Similarity NPC39091
0.5063 Remote Similarity NPC236132
0.5059 Remote Similarity NPC206153
0.5059 Remote Similarity NPC271629

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC262286 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