Natural Product: NPC155904

Natural Product IDNPC155904
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XEZVDURJDFGERA-UHFFFAOYSA-M
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 17976333
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0002950] Very long-chain 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 XEZVDURJDFGERA-UHFFFAOYSA-M
Standard InCHI InChI=1S/C23H46O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23(24)25/h2-22H2,1H3,(H,24,25)/p-1
SMILES CCCCCCCCCCCCCCCCCCCCCCC(=O)[O-]

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   354.35 Volume:   421.308
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Van der Waals volume.
Dense:   0.841 LogP:   9.308
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.685
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -8.364
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The logarithm of aqueous solubility value.
Rotatable Bonds:   21.0 Rigid Bonds:   1.0
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:   0.21 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   1.665 Fsp3:   0.957
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:   0.554 Fluc inhibitor:   0.284
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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:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.994 Promiscuous compounds:   0.637

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.1 MDCK Permeability:   -4.874
Pgp-inhibitor:   0.0 Pgp-substrate:   0.005
PAMPA:   0.002
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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):   0.979
20% Bioavailability (F20%):   0.96 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   0.803

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.997
Plasma Protein Binding (PPB):   100.017% Volume Distribution (VD):   1.311
Fu: 0.691%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.193
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.613
BSEP inhibitor:   0.132

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.017
CYP2C19-inhibitor:   0.069 CYP2C19-substrate:   0.164
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.171
CYP2D6-inhibitor:   0.795 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.991
HLM stability:   0.001
?
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):  3.829 Half-life (T1/2):  2.223

ADMET: Toxicity

hERG Blockers:  0.364 hERG Blockers (10um):  0.658
Human Hepatotoxicity (H-HT):  0.444 Drug-induced Liver Injury (DILI):  0.154
AMES Toxicity:  0.017 Rat Oral Acute Toxicity:  0.096
Maximum Recommended Daily Dose:  0.216 Skin Sensitization:  0.982
Carcinogencity:  0.197 Eye Corrosion:  0.982
Eye Irritation:  0.998 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.007 Ototoxicity:  0.251
Hematotoxicity:  0.204 Drug-induced Nephrotoxicity:  0.167
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.03
A549 Cytotoxicity:  0.433 Hek293 Cytotoxicity:  0.052
BCF:   0.326
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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:   4.059
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.944
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   1.81
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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
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. fruit n.a. PMID[10785419]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[21625478]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota fruits n.a. n.a. PMID[22932311]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. fruit n.a. PMID[23721280]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14975 Adenanthera pavonina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13291 Changium smyrnioides Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13291 Changium smyrnioides Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14975 Adenanthera pavonina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14975 Adenanthera pavonina Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13291 Changium smyrnioides Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13291 Changium smyrnioides Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15544 Cnidium monnieri Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14975 Adenanthera pavonina Species Fabaceae 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 NPC155904 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 NPC67462
1.0 High Similarity NPC156630
0.76 Intermediate Similarity NPC262968
0.6786 Remote Similarity NPC255837
0.6786 Remote Similarity NPC224227
0.6667 Remote Similarity NPC184171
0.6207 Remote Similarity NPC19305
0.5667 Remote Similarity NPC294548
0.5161 Remote Similarity NPC168211

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC155904 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
1.0 High Similarity NPD3206 Approved
0.76 Intermediate Similarity NPD28 Approved
0.76 Intermediate Similarity NPD29 Phase 4
0.6667 Remote Similarity NPD387 Clinical (unspecified phase)
0.5862 Remote Similarity NPD3174 Discontinued
0.55 Remote Similarity NPD8615 Phase 2
0.55 Remote Similarity NPD8616 Clinical (unspecified phase)

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