Natural Product: NPC474565

Natural Product IDNPC474565
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.
Rhapontigenin
IUPAC Name 5-[(E)-2-(3,4-dimethoxyphenyl)ethenyl]benzene-1,3-diol
Synonyms Rhapontigenin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL473518
PubChem CID 44563762
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000253] Stilbenes

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 WHKSEHKYYXHCTA-ONEGZZNKSA-N
Standard InCHI InChI=1S/C16H16O4/c1-19-15-6-5-11(9-16(15)20-2)3-4-12-7-13(17)10-14(18)8-12/h3-10,17-18H,1-2H3/b4-3+
SMILES COC1=C(C=C(C=C1)C=CC2=CC(=CC(=C2)O)O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   272.1 Volume:   284.885
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Van der Waals volume.
Dense:   0.955 LogP:   3.143
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.23
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.526
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   13.0
TPSA:   58.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.838 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.04 Fsp3:   0.125
MCE-18:   12.0
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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:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.698 Fluc inhibitor:   1.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.029
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.715
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.77 Promiscuous compounds:   0.87

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.989 MDCK Permeability:   -4.839
Pgp-inhibitor:   0.042 Pgp-substrate:   0.022
PAMPA:   0.044
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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):   0.001
20% Bioavailability (F20%):   0.127 30% Bioavailability (F30%):   0.129
50% Bioavailability (F50%):   0.918

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.041 MRP1:   0.622
Plasma Protein Binding (PPB):   83.142% Volume Distribution (VD):   0.021
Fu: 16.02%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.875
BSEP inhibitor:   0.608

ADMET: Metabolism

CYP1A2-inhibitor:   0.762 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   0.082 CYP2C19-substrate:   0.006
CYP2C9-inhibitor:   0.945 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.999 CYP2D6-substrate:   0.886
CYP3A4-inhibitor:   0.084 CYP3A4-substrate:   0.021
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   0.891
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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):  8.553 Half-life (T1/2):  1.696

ADMET: Toxicity

hERG Blockers:  0.455 hERG Blockers (10um):  0.697
Human Hepatotoxicity (H-HT):  0.798 Drug-induced Liver Injury (DILI):  0.056
AMES Toxicity:  0.833 Rat Oral Acute Toxicity:  0.424
Maximum Recommended Daily Dose:  0.817 Skin Sensitization:  0.998
Carcinogencity:  0.51 Eye Corrosion:  0.023
Eye Irritation:  0.983 Respiratory Toxicity:  0.39
Drug-induced Neurotoxicity:  0.853 Ototoxicity:  0.61
Hematotoxicity:  0.054 Drug-induced Nephrotoxicity:  0.459
Genotoxicity:  0.197 RPMI-8226 Immunitoxicity:  0.163
A549 Cytotoxicity:  0.714 Hek293 Cytotoxicity:  0.763
BCF:   0.768
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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:   3.146
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.565
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.759
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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
NPO33036 stuhlmannia moavi Species Fabaceae Eukaryota n.a. Madagascar dry forest n.a. PMID[24239390]
NPO33036 stuhlmannia moavi Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT30 Individual protein Cyclooxygenase-1 Homo sapiens IC50 = 290.0 nM PubChem BioAssay data set
NPT31 Individual protein Cyclooxygenase-2 Homo sapiens IC50 = 21300.0 nM PMID[23465614]
NPT1603 Individual protein Cytochrome P450 1A1 Homo sapiens Ki = 90.0 nM PMID[8158155]
NPT1603 Individual protein Cytochrome P450 1A1 Homo sapiens Kinact = 0.06 min-1 PMID[16248836]
NPT346 Individual protein Transient receptor potential cation channel subfamily A member 1 Homo sapiens FC = 0.4 n.a. PMID[28576617]
NPT346 Individual protein Transient receptor potential cation channel subfamily A member 1 Homo sapiens FC = 0.3 n.a. PMID[28576617]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

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 NPC474565 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
0.75 Intermediate Similarity NPC296920
0.75 Intermediate Similarity NPC90520
0.725 Intermediate Similarity NPC166759
0.6667 Remote Similarity NPC232084
0.6667 Remote Similarity NPC247364
0.6341 Remote Similarity NPC10932
0.6053 Remote Similarity NPC61516
0.5897 Remote Similarity NPC123948
0.5897 Remote Similarity NPC96122
0.5818 Remote Similarity NPC604095
0.58 Remote Similarity NPC262189
0.5714 Remote Similarity NPC608982
0.5455 Remote Similarity NPC203113
0.5349 Remote Similarity NPC262253
0.5349 Remote Similarity NPC606778
0.5128 Remote Similarity NPC310905

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474565 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
0.5349 Remote Similarity NPD2983 Phase 3
0.5116 Remote Similarity NPD2981 Phase 2

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