Natural Product: NPC103356

Natural Product IDNPC103356
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Stipulin
IUPAC Name (E)-1-[2,4-dihydroxy-5-(3-methylbut-2-enyl)phenyl]-3-[4-hydroxy-3-(3-methylbut-2-enyl)phenyl]prop-2-en-1-one
Synonyms Stipulin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1169874
PubChem CID 10069091
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003467] Linear 1,3-diarylpropanoids
        • [CHEMONTID:0001630] Chalcones and dihydrochalcones
          • [CHEMONTID:0003509] 3-prenylated chalcones

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 UENVXGIVHQSJHZ-XYOKQWHBSA-N
Standard InCHI InChI=1S/C25H28O4/c1-16(2)5-9-19-13-18(7-11-22(19)26)8-12-23(27)21-14-20(10-6-17(3)4)24(28)15-25(21)29/h5-8,11-15,26,28-29H,9-10H2,1-4H3/b12-8+
SMILES CC(=CCc1cc(ccc1O)/C=C/C(=O)c1cc(CC=C(C)C)c(cc1O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   392.2 Volume:   432.639
?
Van der Waals volume.
Dense:   0.907 LogP:   6.019
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.977
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.85
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   16.0
TPSA:   77.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.32 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.865 Fsp3:   0.24
MCE-18:   16.0
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.999 Fluc inhibitor:   0.99
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.669
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.578
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.665 Promiscuous compounds:   0.203

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.001 MDCK Permeability:   -4.73
Pgp-inhibitor:   0.41 Pgp-substrate:   0.004
PAMPA:   0.379
?
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):   0.105
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.065
Plasma Protein Binding (PPB):   96.223% Volume Distribution (VD):   0.273
Fu: 3.229%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.785
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   1.0
BSEP inhibitor:   0.834

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.59 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.046 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.148
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  6.106 Half-life (T1/2):  1.169

ADMET: Toxicity

hERG Blockers:  0.107 hERG Blockers (10um):  0.561
Human Hepatotoxicity (H-HT):  0.663 Drug-induced Liver Injury (DILI):  0.626
AMES Toxicity:  0.632 Rat Oral Acute Toxicity:  0.59
Maximum Recommended Daily Dose:  0.602 Skin Sensitization:  0.99
Carcinogencity:  0.173 Eye Corrosion:  0.0
Eye Irritation:  0.7 Respiratory Toxicity:  0.951
Drug-induced Neurotoxicity:  0.69 Ototoxicity:  0.534
Hematotoxicity:  0.15 Drug-induced Nephrotoxicity:  0.889
Genotoxicity:  0.922 RPMI-8226 Immunitoxicity:  0.124
A549 Cytotoxicity:  0.703 Hek293 Cytotoxicity:  0.759
BCF:   1.837
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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:   5.361
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.785
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.293
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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
NPO12044.1 Dorstenia barteri var. subtriangularis Varieties Moraceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO15317 Desmos cochinchinensis Species Annonaceae Eukaryota Leaf; Twig n.a. n.a. PMID[30835120]
NPO15317 Desmos cochinchinensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO507 Diplophyllum taxifolium Species Scapaniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10832 Pseudocalymma elegans n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO7173 Armillaria matsutake Species Physalacriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3225 Streptomyces garyphalus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO12044.1 Dorstenia barteri var. subtriangularis Varieties Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12044.1 Dorstenia barteri var. subtriangularis Varieties Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15399 Phyllanthus meghalayensis Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15317 Desmos cochinchinensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12044.1 Dorstenia barteri var. subtriangularis Varieties Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7173 Armillaria matsutake Species Physalacriaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15317 Desmos cochinchinensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15317 Desmos cochinchinensis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16095 Euryspongia rosea Species Dysideidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10832 Pseudocalymma elegans n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO12845 Podocarpus urbanii Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12256 Meconopsis quintuplinervia Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15399 Phyllanthus meghalayensis Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3225 Streptomyces garyphalus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO10520 Thunbergia fragrans Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7173 Armillaria matsutake Species Physalacriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15426 Artemisia atrata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO507 Diplophyllum taxifolium Species Scapaniaceae 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
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 5130.0 nM PMID[19299148]

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 NPC103356 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
0.8511 High Similarity NPC30501
0.8302 Intermediate Similarity NPC40524
0.8163 Intermediate Similarity NPC194764
0.78 Intermediate Similarity NPC169250
0.7308 Intermediate Similarity NPC100067
0.6415 Remote Similarity NPC190043
0.6129 Remote Similarity NPC6118
0.6111 Remote Similarity NPC221777
0.5965 Remote Similarity NPC65005
0.5849 Remote Similarity NPC471954
0.5849 Remote Similarity NPC75272
0.5818 Remote Similarity NPC72158
0.58 Remote Similarity NPC128723
0.569 Remote Similarity NPC269694
0.5614 Remote Similarity NPC130899
0.5614 Remote Similarity NPC59319
0.5536 Remote Similarity NPC62952
0.5439 Remote Similarity NPC98254
0.5439 Remote Similarity NPC601405
0.5417 Remote Similarity NPC242136
0.5333 Remote Similarity NPC131039
0.5283 Remote Similarity NPC165770
0.5098 Remote Similarity NPC19174
0.5098 Remote Similarity NPC115159
0.5091 Remote Similarity NPC303141
0.5085 Remote Similarity NPC162612
0.5085 Remote Similarity NPC283590
0.5082 Remote Similarity NPC485637
0.5082 Remote Similarity NPC477244

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC103356 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