Natural Product: NPC7483

Natural Product IDNPC7483
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Cowanol
IUPAC Name 1-[(2E)-3,7-dimethylocta-2,6-dienyl]-3,6,8-trihydroxy-7-[(Z)-4-hydroxy-3-methylbut-2-enyl]-2-methoxyxanthen-9-one
Synonyms Cowanol
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL463408
PubChem CID 10480887
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:0003519] 8-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 BXFCPUCGPCDZKT-XXGRXQMWSA-N
Standard InCHI InChI=1S/C29H34O7/c1-16(2)7-6-8-17(3)9-12-20-25-23(14-22(32)29(20)35-5)36-24-13-21(31)19(11-10-18(4)15-30)27(33)26(24)28(25)34/h7,9-10,13-14,30-33H,6,8,11-12,15H2,1-5H3/b17-9+,18-10-
SMILES CC(=CCC/C(=C/Cc1c2c(cc(c1OC)O)oc1cc(c(C/C=C(/C)CO)c(c1c2=O)O)O)/C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   494.23 Volume:   519.638
?
Van der Waals volume.
Dense:   0.951 LogP:   6.168
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.241
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.911
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   20.0
TPSA:   120.36
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.22 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.436 Fsp3:   0.345
MCE-18:   23.0
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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:   0.982 Fluc inhibitor:   0.39
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.964
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.797
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.232 Promiscuous compounds:   0.135

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.172 MDCK Permeability:   -4.731
Pgp-inhibitor:   0.998 Pgp-substrate:   0.104
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):   0.019
20% Bioavailability (F20%):   0.708 30% Bioavailability (F30%):   0.984
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.917
Plasma Protein Binding (PPB):   97.485% Volume Distribution (VD):   0.106
Fu: 2.358%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.991 BCRP inhibitor:   0.982
BSEP inhibitor:   0.983

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.942
CYP2C19-inhibitor:   0.277 CYP2C19-substrate:   0.533
CYP2C9-inhibitor:   0.932 CYP2C9-substrate:   0.069
CYP2D6-inhibitor:   0.982 CYP2D6-substrate:   0.575
CYP3A4-inhibitor:   0.199 CYP3A4-substrate:   0.991
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.988
?
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):  2.649 Half-life (T1/2):  1.367

ADMET: Toxicity

hERG Blockers:  0.037 hERG Blockers (10um):  0.484
Human Hepatotoxicity (H-HT):  0.645 Drug-induced Liver Injury (DILI):  0.845
AMES Toxicity:  0.21 Rat Oral Acute Toxicity:  0.509
Maximum Recommended Daily Dose:  0.707 Skin Sensitization:  0.978
Carcinogencity:  0.525 Eye Corrosion:  0.0
Eye Irritation:  0.708 Respiratory Toxicity:  0.976
Drug-induced Neurotoxicity:  0.024 Ototoxicity:  0.332
Hematotoxicity:  0.117 Drug-induced Nephrotoxicity:  0.106
Genotoxicity:  0.794 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.311 Hek293 Cytotoxicity:  0.66
BCF:   2.227
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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:   5.27
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.796
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.33
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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]
NPO25472 Garcinia cowa 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[HerDing]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18783 Garcinia fusca 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]
NPT91 Cell line KB Homo sapiens IC50 = 11980.0 nM PMID[30684866]
NPT2 Others Unspecified n.a. Inhibition = 0.0 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 30.5 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 69.6 % PMID[12608849]
NPT2 Others Unspecified n.a. Inhibition = 93.1 % PMID[12608849]
NPT2 Others Unspecified n.a. IC50 = 310.0 molar ratio PMID[12608849]

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 NPC7483 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
1.0 High Similarity NPC74766
0.9 High Similarity NPC40491
0.9 High Similarity NPC278052
0.7571 Intermediate Similarity NPC228785
0.7013 Intermediate Similarity NPC300727
0.7 Intermediate Similarity NPC479155
0.6883 Remote Similarity NPC310349
0.6883 Remote Similarity NPC61010
0.6795 Remote Similarity NPC262286
0.6753 Remote Similarity NPC236796
0.6471 Remote Similarity NPC39091
0.6463 Remote Similarity NPC206153
0.6463 Remote Similarity NPC271629
0.6329 Remote Similarity NPC25152
0.5974 Remote Similarity NPC602307
0.5909 Remote Similarity NPC479158
0.5854 Remote Similarity NPC320359
0.5833 Remote Similarity NPC476242
0.5769 Remote Similarity NPC14353
0.575 Remote Similarity NPC236132
0.575 Remote Similarity NPC68093
0.5641 Remote Similarity NPC241904
0.5542 Remote Similarity NPC227337
0.5476 Remote Similarity NPC189473
0.5455 Remote Similarity NPC142339
0.5443 Remote Similarity NPC488548
0.5432 Remote Similarity NPC217677
0.5412 Remote Similarity NPC236521
0.5402 Remote Similarity NPC133392
0.5393 Remote Similarity NPC488441
0.5385 Remote Similarity NPC479159
0.5349 Remote Similarity NPC117854
0.5349 Remote Similarity NPC170245
0.5269 Remote Similarity NPC150977
0.5244 Remote Similarity NPC479160
0.5233 Remote Similarity NPC275780
0.5119 Remote Similarity NPC220313
0.5116 Remote Similarity NPC248638
0.5114 Remote Similarity NPC479164
0.5057 Remote Similarity NPC152659

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC7483 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