Natural Product: NPC92558

Natural Product IDNPC92558
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Leukotriene A4
IUPAC Name 4-[(2S,3S)-3-[(1E,3E,5Z,8Z)-tetradeca-1,3,5,8-tetraenyl]oxiran-2-yl]butanoic acid
Synonyms Leukotriene A4
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL69439
PubChem CID 5280383
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0001989] Heterocyclic fatty acids
            • [CHEMONTID:0001537] Epoxy fatty acids

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 UFPQIRYSPUYQHK-WAQVJNLQSA-N
Standard InCHI InChI=1S/C20H30O3/c1-2-3-4-5-6-7-8-9-10-11-12-13-15-18-19(23-18)16-14-17-20(21)22/h6-7,9-13,15,18-19H,2-5,8,14,16-17H2,1H3,(H,21,22)/b7-6-,10-9-,12-11+,15-13+/t18-,19-/m0/s1
SMILES CCCCC/C=CC/C=CC=CC=C[C@@H]1O[C@H]1CCCC(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   318.22 Volume:   359.108
?
Van der Waals volume.
Dense:   0.886 LogP:   4.642
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.252
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.608
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   8.0
TPSA:   49.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.22 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.789 Fsp3:   0.55
MCE-18:   12.774
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.209 Fluc inhibitor:   0.419
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.017
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.029
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.872 Promiscuous compounds:   0.196

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.173 MDCK Permeability:   -4.958
Pgp-inhibitor:   0.004 Pgp-substrate:   0.007
PAMPA:   0.208
?
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):   0.005
20% Bioavailability (F20%):   0.051 30% Bioavailability (F30%):   0.217
50% Bioavailability (F50%):   0.412

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.998
Plasma Protein Binding (PPB):   97.818% Volume Distribution (VD):   -0.603
Fu: 1.799%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.089
OATP1B3 inhibitor:   0.823 BCRP inhibitor:   0.034
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.338
CYP2C19-inhibitor:   0.037 CYP2C19-substrate:   0.1
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.04
CYP2D6-inhibitor:   0.248 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.027
?
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):  6.806 Half-life (T1/2):  0.623

ADMET: Toxicity

hERG Blockers:  0.212 hERG Blockers (10um):  0.326
Human Hepatotoxicity (H-HT):  0.223 Drug-induced Liver Injury (DILI):  0.004
AMES Toxicity:  0.418 Rat Oral Acute Toxicity:  0.077
Maximum Recommended Daily Dose:  0.257 Skin Sensitization:  1.0
Carcinogencity:  0.113 Eye Corrosion:  0.777
Eye Irritation:  0.985 Respiratory Toxicity:  0.88
Drug-induced Neurotoxicity:  0.015 Ototoxicity:  0.53
Hematotoxicity:  0.031 Drug-induced Nephrotoxicity:  0.251
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.03
A549 Cytotoxicity:  0.079 Hek293 Cytotoxicity:  0.1
BCF:   1.056
?
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:   3.909
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.216
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.008
?
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
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. DOI[10.1172/JCI16309]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. DOI[10.1371/journal.pone.0115359]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[10557354]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[11034610]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[11419736]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[11530998]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[1175644]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[12391014]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[12812989]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[12840027]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[12878451]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[15084647]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[1521032]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[15230696]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[15314235]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[16112079]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[16770722]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[1687010]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[17116739]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[17190852]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[17875433]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[18311922]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[18544912]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[18799520]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[19425150]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[19961175]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[20506249]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[20601097]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. bile n.a. PMID[20708442]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. faeces n.a. PMID[20708442]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. urine n.a. PMID[20708442]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[20876113]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[21798258]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[2268561]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[22711758]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23315938]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23717534]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23752203]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23810710]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23811455]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23868375]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[23919613]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[24101735]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[24399466]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[24494566]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[24558969]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[24816727]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[25114169]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[25181601]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[25293588]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[25644343]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[26236990]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[27471436]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[3179836]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[347637]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[4696527]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[5432584]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[6121420]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[6780563]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[8600370]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[8987136]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[9192820]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. PMID[9800648]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20338 Mus musculus Species Muridae Eukaryota n.a. n.a. n.a. Database[MetaboLights]
NPO20338 Mus musculus Species Muridae 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
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens Inhibition = 78.0 % PMID[6298421]
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens IC50 = 2000.0 nM PMID[6298421]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2 Others Unspecified n.a. Ratio = 0.0009 n.a. PMID[8423594]

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 NPC92558 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
0.6735 Remote Similarity NPC320642
0.6531 Remote Similarity NPC317583
0.6136 Remote Similarity NPC321062
0.6 Remote Similarity NPC323597
0.6 Remote Similarity NPC211752
0.6 Remote Similarity NPC323498
0.6 Remote Similarity NPC154245
0.6 Remote Similarity NPC85813
0.6 Remote Similarity NPC223697
0.6 Remote Similarity NPC6095
0.5926 Remote Similarity NPC329249
0.5778 Remote Similarity NPC91495
0.5778 Remote Similarity NPC5413
0.5769 Remote Similarity NPC329550
0.566 Remote Similarity NPC328311
0.5652 Remote Similarity NPC59051
0.5435 Remote Similarity NPC70387
0.5397 Remote Similarity NPC319021
0.537 Remote Similarity NPC323045
0.537 Remote Similarity NPC317881
0.5333 Remote Similarity NPC424
0.5333 Remote Similarity NPC36061
0.5333 Remote Similarity NPC69510
0.5333 Remote Similarity NPC77272
0.5333 Remote Similarity NPC290563
0.5333 Remote Similarity NPC139029
0.5333 Remote Similarity NPC281972
0.5333 Remote Similarity NPC261831
0.5333 Remote Similarity NPC87564
0.5319 Remote Similarity NPC52955
0.5319 Remote Similarity NPC88966
0.5319 Remote Similarity NPC25417
0.5319 Remote Similarity NPC1813
0.5283 Remote Similarity NPC320305
0.5283 Remote Similarity NPC68343
0.5283 Remote Similarity NPC328089
0.5273 Remote Similarity NPC322461
0.5217 Remote Similarity NPC95145
0.5217 Remote Similarity NPC325642
0.5217 Remote Similarity NPC65174
0.5185 Remote Similarity NPC325977
0.5179 Remote Similarity NPC605544
0.5179 Remote Similarity NPC607260
0.5111 Remote Similarity NPC281245
0.5075 Remote Similarity NPC319473

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC92558 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
0.6 Remote Similarity NPD4266 Phase 2
0.5778 Remote Similarity NPD3173 Phase 4
0.5333 Remote Similarity NPD3195 Phase 2
0.5333 Remote Similarity NPD3196 Approved
0.5319 Remote Similarity NPD3172 Approved

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