Natural Product: NPC232523

Natural Product IDNPC232523
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-Methyl-5-{8(Z)-Pentadecenyl}Resorcinol
IUPAC Name 2-methyl-5-[(Z)-pentadec-8-enyl]benzene-1,3-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL470556
PubChem CID 6452209
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0001286] Benzenediols
          • [CHEMONTID:0000137] Resorcinols

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 LDBPJTXLCRXBIJ-HJWRWDBZSA-N
Standard InCHI InChI=1S/C22H36O2/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-20-17-21(23)19(2)22(24)18-20/h8-9,17-18,23-24H,3-7,10-16H2,1-2H3/b9-8-
SMILES CCCCCC/C=CCCCCCCCc1cc(c(C)c(c1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   332.27 Volume:   387.546
?
Van der Waals volume.
Dense:   0.857 LogP:   8.644
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.895
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.802
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   7.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   1.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.307 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.374 Fsp3:   0.636
MCE-18:   7.0
?
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:   0.857 Fluc inhibitor:   0.329
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.138
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.941 Promiscuous compounds:   0.026

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.032 MDCK Permeability:   -4.682
Pgp-inhibitor:   0.948 Pgp-substrate:   0.001
PAMPA:   0.0
?
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):   0.01
20% Bioavailability (F20%):   0.846 30% Bioavailability (F30%):   0.952
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.194 MRP1:   0.891
Plasma Protein Binding (PPB):   99.036% Volume Distribution (VD):   0.308
Fu: 0.446%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.445
OATP1B3 inhibitor:   0.974 BCRP inhibitor:   0.805
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.993
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.005
CYP2D6-inhibitor:   0.22 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   0.052 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.034
?
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):  5.26 Half-life (T1/2):  0.502

ADMET: Toxicity

hERG Blockers:  0.409 hERG Blockers (10um):  0.853
Human Hepatotoxicity (H-HT):  0.332 Drug-induced Liver Injury (DILI):  0.005
AMES Toxicity:  0.171 Rat Oral Acute Toxicity:  0.279
Maximum Recommended Daily Dose:  0.294 Skin Sensitization:  1.0
Carcinogencity:  0.049 Eye Corrosion:  0.984
Eye Irritation:  0.998 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.011 Ototoxicity:  0.241
Hematotoxicity:  0.026 Drug-induced Nephrotoxicity:  0.182
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.113
A549 Cytotoxicity:  0.954 Hek293 Cytotoxicity:  0.784
BCF:   1.453
?
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:   5.0
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.111
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.717
?
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
NPO3803 Ardisia japonica Species Primulaceae Eukaryota whole plants Sendai, Miyagi Prefecture, Japan 2000-Sep PMID[17243725]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. whole plant n.a. PMID[17243725]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. whole plant n.a. PMID[17397219]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. PMID[22940450]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota Fruits n.a. n.a. PMID[8021657]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13016 Viscaria viscosa Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3580 Rana amurensis Species Ranidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9180 Pyrostegia venusta Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3469 Pteris dactylina Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO998 Justicia hayatai Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11636 Ideopsis similis Species Nymphalidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1744 Discaria serratifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13070 Clibadium mexiae Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12510 Aronia arbutifolia Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3469 Pteris dactylina Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3580 Rana amurensis Species Ranidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3580 Rana amurensis Species Ranidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9180 Pyrostegia venusta Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO998 Justicia hayatai Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3803 Ardisia japonica Species Primulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3469 Pteris dactylina Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1744 Discaria serratifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3580 Rana amurensis Species Ranidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8896 Anacardium occidentale Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13016 Viscaria viscosa Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11636 Ideopsis similis Species Nymphalidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13070 Clibadium mexiae Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12510 Aronia arbutifolia Species Rosaceae 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
NPT43 Individual protein Tyrosinase Agaricus bisporus Inhibition = 24.0 % PMID[8021657]

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 NPC232523 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
0.8684 High Similarity NPC158253
0.775 Intermediate Similarity NPC204901
0.7179 Intermediate Similarity NPC146798
0.7179 Intermediate Similarity NPC222522
0.7179 Intermediate Similarity NPC106396
0.7179 Intermediate Similarity NPC94351
0.7179 Intermediate Similarity NPC168303
0.6923 Remote Similarity NPC53051
0.6923 Remote Similarity NPC24404
0.6923 Remote Similarity NPC313030
0.6829 Remote Similarity NPC488413
0.6829 Remote Similarity NPC488412
0.6667 Remote Similarity NPC71002
0.6667 Remote Similarity NPC249828
0.641 Remote Similarity NPC470700
0.641 Remote Similarity NPC54844
0.641 Remote Similarity NPC39097
0.641 Remote Similarity NPC302681
0.641 Remote Similarity NPC118286
0.641 Remote Similarity NPC109691
0.6316 Remote Similarity NPC59506
0.6279 Remote Similarity NPC94139
0.6279 Remote Similarity NPC302219
0.6279 Remote Similarity NPC147284
0.6098 Remote Similarity NPC39664
0.6047 Remote Similarity NPC483454
0.6047 Remote Similarity NPC162314
0.5909 Remote Similarity NPC129373
0.5909 Remote Similarity NPC242342
0.5909 Remote Similarity NPC85479
0.5909 Remote Similarity NPC488416
0.5897 Remote Similarity NPC37802
0.5814 Remote Similarity NPC196479
0.5714 Remote Similarity NPC305603
0.5682 Remote Similarity NPC166761
0.5641 Remote Similarity NPC294186
0.5641 Remote Similarity NPC147310
0.5641 Remote Similarity NPC137415
0.5641 Remote Similarity NPC166313
0.5641 Remote Similarity NPC192032
0.5641 Remote Similarity NPC24407
0.5641 Remote Similarity NPC11280
0.5581 Remote Similarity NPC55561
0.5556 Remote Similarity NPC10588
0.5532 Remote Similarity NPC210497
0.55 Remote Similarity NPC244513
0.5435 Remote Similarity NPC72947
0.5366 Remote Similarity NPC488411
0.5366 Remote Similarity NPC488410
0.5366 Remote Similarity NPC488409
0.5349 Remote Similarity NPC177420
0.525 Remote Similarity NPC227458
0.5217 Remote Similarity NPC284011
0.5208 Remote Similarity NPC48730
0.5111 Remote Similarity NPC487734
0.5106 Remote Similarity NPC252105
0.5102 Remote Similarity NPC483450
0.5098 Remote Similarity NPC61033

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC232523 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