Natural Product: NPC506429

Natural Product IDNPC506429
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
25-methyl-5,9-hexacosadienoic acid
IUPAC Name 25-methylhexacosa-5,9-dienoic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 DNEGLXLXJLONIP-UHFFFAOYSA-N
Standard InCHI InChI=1S/C27H50O2/c1-26(2)24-22-20-18-16-14-12-10-8-6-4-3-5-7-9-11-13-15-17-19-21-23-25-27(28)29/h9,11,17,19,26H,3-8,10,12-16,18,20-25H2,1-2H3,(H,28,29)
SMILES CC(C)CCCCCCCCCCCCCCC=CCCC=CCCCC(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   406.38 Volume:   485.219
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Van der Waals volume.
Dense:   0.838 LogP:   10.544
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.988
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -9.047
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The logarithm of aqueous solubility value.
Rotatable Bonds:   22.0 Rigid Bonds:   3.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   0.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.144 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.456 Fsp3:   0.815
MCE-18:   0.0
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.609 Fluc inhibitor:   0.327
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.982 Promiscuous compounds:   0.762

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.094 MDCK Permeability:   -4.716
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.004
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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):   0.173
20% Bioavailability (F20%):   0.087 30% Bioavailability (F30%):   0.887
50% Bioavailability (F50%):   0.591

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.012 MRP1:   0.993
Plasma Protein Binding (PPB):   98.426% Volume Distribution (VD):   -0.189
Fu: 0.527%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.333
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.085
BSEP inhibitor:   0.139

ADMET: Metabolism

CYP1A2-inhibitor:   0.007 CYP1A2-substrate:   0.232
CYP2C19-inhibitor:   0.954 CYP2C19-substrate:   0.07
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.273
CYP2D6-inhibitor:   0.173 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.848
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.109
?
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):  5.237 Half-life (T1/2):  0.72

ADMET: Toxicity

hERG Blockers:  0.211 hERG Blockers (10um):  0.452
Human Hepatotoxicity (H-HT):  0.373 Drug-induced Liver Injury (DILI):  0.002
AMES Toxicity:  0.071 Rat Oral Acute Toxicity:  0.058
Maximum Recommended Daily Dose:  0.235 Skin Sensitization:  1.0
Carcinogencity:  0.117 Eye Corrosion:  0.994
Eye Irritation:  0.996 Respiratory Toxicity:  0.847
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.301
Hematotoxicity:  0.066 Drug-induced Nephrotoxicity:  0.221
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.043
A549 Cytotoxicity:  0.429 Hek293 Cytotoxicity:  0.051
BCF:   0.686
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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:   4.056
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.05
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.145
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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
NPO9919 Jaspis stellifera Species Ancorinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9919 Jaspis stellifera Species Ancorinidae 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

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 NPC506429 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
0.871 High Similarity NPC48162
0.6857 Remote Similarity NPC59051
0.6667 Remote Similarity NPC281245
0.6571 Remote Similarity NPC91495
0.6562 Remote Similarity NPC55023
0.6562 Remote Similarity NPC21844
0.6471 Remote Similarity NPC424
0.6471 Remote Similarity NPC36061
0.6471 Remote Similarity NPC69510
0.6471 Remote Similarity NPC77272
0.6471 Remote Similarity NPC290563
0.6471 Remote Similarity NPC139029
0.6471 Remote Similarity NPC281972
0.6471 Remote Similarity NPC92114
0.6471 Remote Similarity NPC261831
0.6471 Remote Similarity NPC87564
0.5946 Remote Similarity NPC52955
0.5946 Remote Similarity NPC88966
0.5946 Remote Similarity NPC25417
0.5946 Remote Similarity NPC1813
0.5946 Remote Similarity NPC154245
0.5946 Remote Similarity NPC85813
0.5946 Remote Similarity NPC223697
0.5946 Remote Similarity NPC6095
0.5833 Remote Similarity NPC95145
0.5833 Remote Similarity NPC325642
0.5833 Remote Similarity NPC65174
0.5714 Remote Similarity NPC117572
0.5676 Remote Similarity NPC321062
0.5676 Remote Similarity NPC5413
0.5676 Remote Similarity NPC70387
0.5526 Remote Similarity NPC174560
0.5526 Remote Similarity NPC125312
0.5405 Remote Similarity NPC149821
0.5366 Remote Similarity NPC606120
0.5278 Remote Similarity NPC314679
0.5227 Remote Similarity NPC323597
0.5227 Remote Similarity NPC211752
0.5227 Remote Similarity NPC323498
0.5143 Remote Similarity NPC180534
0.5143 Remote Similarity NPC611531
0.5116 Remote Similarity NPC477201

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC506429 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
0.6471 Remote Similarity NPD3195 Phase 2
0.6471 Remote Similarity NPD3196 Approved
0.5946 Remote Similarity NPD3172 Approved
0.5946 Remote Similarity NPD4266 Phase 2
0.5714 Remote Similarity NPD4222 Phase 3
0.5676 Remote Similarity NPD3173 Phase 4
0.5455 Remote Similarity NPD39 Phase 4
0.5366 Remote Similarity NPD3194 Phase 4
0.5143 Remote Similarity NPD622 Pre-clinical

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