Natural Product: NPC470458

Natural Product IDNPC470458
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Dodoviscin E
IUPAC Name 5,7-dihydroxy-2-[4-hydroxy-3-[(E)-4-hydroxy-3-methylbut-2-enyl]-5-(3-methylbut-2-enyl)phenyl]-3-methoxychromen-4-one
Synonyms dodoviscin E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2037151
PubChem CID 57409966
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001615] Flavones
          • [CHEMONTID:0003502] 3'-prenylated flavones

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 DYGOJNXBKFEBBQ-GIDUJCDVSA-N
Standard InCHI InChI=1S/C26H28O7/c1-14(2)5-7-16-9-18(10-17(23(16)30)8-6-15(3)13-27)25-26(32-4)24(31)22-20(29)11-19(28)12-21(22)33-25/h5-6,9-12,27-30H,7-8,13H2,1-4H3/b15-6+
SMILES OC/C(=C/Cc1cc(cc(c1O)CC=C(C)C)c1oc2cc(O)cc(c2c(=O)c1OC)O)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   452.18 Volume:   467.75
?
Van der Waals volume.
Dense:   0.967 LogP:   4.479
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.315
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.672
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 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:   0.387 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.175 Fsp3:   0.269
MCE-18:   22.0
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.884 Fluc inhibitor:   0.617
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.874
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.705
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.214 Promiscuous compounds:   0.068

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.204 MDCK Permeability:   -4.847
Pgp-inhibitor:   0.941 Pgp-substrate:   0.012
PAMPA:   0.189
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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):   0.28
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.097
Plasma Protein Binding (PPB):   95.294% Volume Distribution (VD):   0.166
Fu: 4.377%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.029
OATP1B3 inhibitor:   0.988 BCRP inhibitor:   1.0
BSEP inhibitor:   0.989

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.902
CYP2C19-inhibitor:   0.057 CYP2C19-substrate:   0.994
CYP2C9-inhibitor:   0.368 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.111
CYP3A4-inhibitor:   0.035 CYP3A4-substrate:   0.961
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  5.286 Half-life (T1/2):  1.027

ADMET: Toxicity

hERG Blockers:  0.042 hERG Blockers (10um):  0.507
Human Hepatotoxicity (H-HT):  0.69 Drug-induced Liver Injury (DILI):  0.813
AMES Toxicity:  0.437 Rat Oral Acute Toxicity:  0.709
Maximum Recommended Daily Dose:  0.755 Skin Sensitization:  0.944
Carcinogencity:  0.493 Eye Corrosion:  0.0
Eye Irritation:  0.769 Respiratory Toxicity:  0.961
Drug-induced Neurotoxicity:  0.152 Ototoxicity:  0.325
Hematotoxicity:  0.147 Drug-induced Nephrotoxicity:  0.21
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.099
A549 Cytotoxicity:  0.409 Hek293 Cytotoxicity:  0.776
BCF:   1.842
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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:   4.767
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.189
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.634
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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
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[19719093]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[22512738]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12477 Dodonaea viscosa Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12477 Dodonaea viscosa Species Sapindaceae 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
NPT520 Cell line 3T3-L1 Mus musculus Activity = 280.2 % PMID[24533857]

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 NPC470458 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
0.8983 High Similarity NPC158874
0.7971 Intermediate Similarity NPC470460
0.7879 Intermediate Similarity NPC470459
0.7846 Intermediate Similarity NPC97255
0.7612 Intermediate Similarity NPC269285
0.697 Remote Similarity NPC246478
0.6438 Remote Similarity NPC158761
0.6351 Remote Similarity NPC470457
0.6338 Remote Similarity NPC259632
0.6316 Remote Similarity NPC470462
0.625 Remote Similarity NPC56786
0.6184 Remote Similarity NPC470461
0.6154 Remote Similarity NPC59951
0.6 Remote Similarity NPC123886
0.6 Remote Similarity NPC184536
0.6 Remote Similarity NPC103342
0.5909 Remote Similarity NPC286342
0.5909 Remote Similarity NPC610359
0.5882 Remote Similarity NPC162351
0.5882 Remote Similarity NPC603596
0.5797 Remote Similarity NPC279989
0.5735 Remote Similarity NPC82325
0.5694 Remote Similarity NPC205046
0.56 Remote Similarity NPC224714
0.5405 Remote Similarity NPC301217
0.5405 Remote Similarity NPC200694
0.5405 Remote Similarity NPC306488
0.5366 Remote Similarity NPC80534
0.506 Remote Similarity NPC470456

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470458 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