Natural Product: NPC127894

Natural Product IDNPC127894
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Oncostemonol D
IUPAC Name 5-[(Z)-16-(3-hydroxy-5-methoxyphenyl)hexadec-8-enyl]benzene-1,3-diol
Synonyms oncostemonol D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL464027
PubChem CID 11744712
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0000190] Methoxyphenols

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 NJAYBTLRHRIKOW-IHWYPQMZSA-N
Standard InCHI InChI=1S/C29H42O4/c1-33-29-21-25(20-28(32)23-29)17-15-13-11-9-7-5-3-2-4-6-8-10-12-14-16-24-18-26(30)22-27(31)19-24/h2-3,18-23,30-32H,4-17H2,1H3/b3-2-
SMILES COc1cc(CCCCCCC/C=CCCCCCCCc2cc(cc(c2)O)O)cc(c1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   454.31 Volume:   509.733
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Van der Waals volume.
Dense:   0.891 LogP:   8.284
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.745
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.719
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The logarithm of aqueous solubility value.
Rotatable Bonds:   17.0 Rigid Bonds:   13.0
TPSA:   69.92
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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:   0.168 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.557 Fsp3:   0.517
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.939 Fluc inhibitor:   0.281
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.364
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.654 Promiscuous compounds:   0.051

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.165 MDCK Permeability:   -4.707
Pgp-inhibitor:   0.918 Pgp-substrate:   0.0
PAMPA:   0.0
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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):   0.0
20% Bioavailability (F20%):   0.845 30% Bioavailability (F30%):   0.915
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.69
Plasma Protein Binding (PPB):   98.945% Volume Distribution (VD):   0.4
Fu: 0.337%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.802
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.968
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.52 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.983 CYP2C19-substrate:   0.994
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   0.987 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.011 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.897
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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):  3.1 Half-life (T1/2):  1.355

ADMET: Toxicity

hERG Blockers:  0.818 hERG Blockers (10um):  0.904
Human Hepatotoxicity (H-HT):  0.385 Drug-induced Liver Injury (DILI):  0.005
AMES Toxicity:  0.252 Rat Oral Acute Toxicity:  0.114
Maximum Recommended Daily Dose:  0.795 Skin Sensitization:  1.0
Carcinogencity:  0.106 Eye Corrosion:  0.79
Eye Irritation:  0.994 Respiratory Toxicity:  0.773
Drug-induced Neurotoxicity:  0.034 Ototoxicity:  0.153
Hematotoxicity:  0.01 Drug-induced Nephrotoxicity:  0.242
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.945 Hek293 Cytotoxicity:  0.964
BCF:   1.421
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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:   5.409
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.605
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.467
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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
NPO33313 oncostemon bojerianum Species n.a. n.a. leaves Madagascar rainforest n.a. PMID[12444688]

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
NPT179 Cell line A2780 Homo sapiens IC50 = 10.0 ug.mL-1 PMID[10775404]

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 NPC127894 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 NPC470759
0.907 High Similarity NPC219070
0.8605 High Similarity NPC114064
0.8298 Intermediate Similarity NPC15860
0.8 Intermediate Similarity NPC140521
0.72 Intermediate Similarity NPC249836
0.6977 Remote Similarity NPC470700
0.6977 Remote Similarity NPC54844
0.6977 Remote Similarity NPC39097
0.6977 Remote Similarity NPC302681
0.6977 Remote Similarity NPC118286
0.6977 Remote Similarity NPC109691
0.6889 Remote Similarity NPC168657
0.6667 Remote Similarity NPC53051
0.6667 Remote Similarity NPC24404
0.6667 Remote Similarity NPC313030
0.6667 Remote Similarity NPC39664
0.6522 Remote Similarity NPC146798
0.6522 Remote Similarity NPC222522
0.6522 Remote Similarity NPC106396
0.6522 Remote Similarity NPC94351
0.6522 Remote Similarity NPC168303
0.6122 Remote Similarity NPC71002
0.6122 Remote Similarity NPC10588
0.6122 Remote Similarity NPC302219
0.6122 Remote Similarity NPC242342
0.6122 Remote Similarity NPC249828
0.6122 Remote Similarity NPC85479
0.6 Remote Similarity NPC470699
0.6 Remote Similarity NPC78446
0.6 Remote Similarity NPC72947
0.5893 Remote Similarity NPC473221
0.58 Remote Similarity NPC284011
0.5581 Remote Similarity NPC246056
0.5577 Remote Similarity NPC470161
0.5357 Remote Similarity NPC305603
0.5357 Remote Similarity NPC61033
0.5294 Remote Similarity NPC166761
0.5238 Remote Similarity NPC480163
0.5217 Remote Similarity NPC294186
0.5217 Remote Similarity NPC147310
0.5217 Remote Similarity NPC137415
0.5217 Remote Similarity NPC166313
0.5217 Remote Similarity NPC192032
0.5217 Remote Similarity NPC24407
0.5217 Remote Similarity NPC11280
0.5161 Remote Similarity NPC29577

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC127894 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