Natural Product: NPC159387

Natural Product IDNPC159387
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Luzonoid D
IUPAC Name [(1S,4aS,6S,7R,7aS)-6,7-dihydroxy-4-(hydroxymethyl)-7-[[(Z)-3-(4-hydroxyphenyl)prop-2-enoyl]oxymethyl]-4a,5,6,7a-tetrahydro-1H-cyclopenta[c]pyran-1-yl] 3-methylbutanoate
Synonyms Luzonoid D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL485662
PubChem CID 11155452
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0003002] Hydroxycinnamic acid esters
            • [CHEMONTID:0000465] Coumaric acid esters

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 QDYVLLOYMJYQAA-BPJBXTEKSA-N
Standard InCHI InChI=1S/C24H30O9/c1-14(2)9-21(29)33-23-22-18(16(11-25)12-31-23)10-19(27)24(22,30)13-32-20(28)8-5-15-3-6-17(26)7-4-15/h3-8,12,14,18-19,22-23,25-27,30H,9-11,13H2,1-2H3/b8-5-/t18-,19+,22-,23+,24-/m1/s1
SMILES OCC1=CO[C@H]([C@H]2[C@@H]1C[C@@H]([C@]2(O)COC(=O)/C=Cc1ccc(cc1)O)O)OC(=O)CC(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   462.19 Volume:   458.648
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Van der Waals volume.
Dense:   1.008 LogP:   2.726
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.974
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.125
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   19.0
TPSA:   142.75
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.334 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.485 Fsp3:   0.5
MCE-18:   73.333
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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:   0.683 Fluc inhibitor:   0.956
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.069
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.49
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.158 Promiscuous compounds:   0.39

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.101 MDCK Permeability:   -4.8
Pgp-inhibitor:   0.0 Pgp-substrate:   0.547
PAMPA:   0.996
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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):   0.396
20% Bioavailability (F20%):   0.983 30% Bioavailability (F30%):   0.982
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.093 MRP1:   0.15
Plasma Protein Binding (PPB):   70.007% Volume Distribution (VD):   0.016
Fu: 27.73%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.944
OATP1B3 inhibitor:   0.981 BCRP inhibitor:   0.0
BSEP inhibitor:   0.527

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.244
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.315
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.864
CYP3A4-inhibitor:   0.039 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.386
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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):  5.022 Half-life (T1/2):  1.777

ADMET: Toxicity

hERG Blockers:  0.124 hERG Blockers (10um):  0.485
Human Hepatotoxicity (H-HT):  0.664 Drug-induced Liver Injury (DILI):  0.318
AMES Toxicity:  0.889 Rat Oral Acute Toxicity:  0.216
Maximum Recommended Daily Dose:  0.666 Skin Sensitization:  1.0
Carcinogencity:  0.661 Eye Corrosion:  0.0
Eye Irritation:  0.484 Respiratory Toxicity:  0.317
Drug-induced Neurotoxicity:  0.667 Ototoxicity:  0.556
Hematotoxicity:  0.12 Drug-induced Nephrotoxicity:  0.915
Genotoxicity:  0.84 RPMI-8226 Immunitoxicity:  0.176
A549 Cytotoxicity:  0.848 Hek293 Cytotoxicity:  0.666
BCF:   0.581
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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:   3.379
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.091
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.383
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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
NPO8076 Viburnum luzonicum Species Adoxaceae Eukaryota n.a. n.a. n.a. PMID[15568771]
NPO8076 Viburnum luzonicum Species Adoxaceae Eukaryota n.a. leaf n.a. PMID[15635247]
NPO7642 Cleome gynandra Species Cleomaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8076 Viburnum luzonicum Species Adoxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7642 Cleome gynandra Species Cleomaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7642 Cleome gynandra Species Cleomaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8076 Viburnum luzonicum Species Adoxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7642 Cleome gynandra Species Cleomaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8076 Viburnum luzonicum Species Adoxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6607 Apopellia endiviifolia Species Pelliaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 4560.0 nM PMID[15568771]

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 NPC159387 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 NPC154262
0.6623 Remote Similarity NPC7518
0.6623 Remote Similarity NPC137501
0.6049 Remote Similarity NPC186296
0.5484 Remote Similarity NPC487698
0.5484 Remote Similarity NPC487697
0.5444 Remote Similarity NPC487695
0.5444 Remote Similarity NPC487694
0.5342 Remote Similarity NPC6765
0.5213 Remote Similarity NPC184464
0.5213 Remote Similarity NPC251062

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC159387 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