Natural Product: NPC491240

Natural Product IDNPC491240
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
9-Octadecen-1-ol
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols
          • [CHEMONTID:0002951] Long-chain fatty alcohols

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 ALSTYHKOOCGGFT-UHFFFAOYSA-N
Standard InCHI InChI=1S/C18H36O/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19/h9-10,19H,2-8,11-18H2,1H3
SMILES CCCCCCCCC=CCCCCCCCCO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   268.28 Volume:   326.038
?
Van der Waals volume.
Dense:   0.823 LogP:   6.794
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.033
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.287
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   1.0
TPSA:   20.23
?
Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   0.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.284 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.067 Fsp3:   0.889
MCE-18:   0.0
?
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:   0.154 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.995 Promiscuous compounds:   0.3

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.041 MDCK Permeability:   -4.776
Pgp-inhibitor:   0.032 Pgp-substrate:   0.168
PAMPA:   0.001
?
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):   0.957
20% Bioavailability (F20%):   0.922 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   0.915

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.145 MRP1:   0.93
Plasma Protein Binding (PPB):   97.437% Volume Distribution (VD):   0.382
Fu: 2.612%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.272
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.873
BSEP inhibitor:   0.66

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.196
CYP2D6-inhibitor:   0.999 CYP2D6-substrate:   0.631
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.41
?
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):  5.69 Half-life (T1/2):  0.455

ADMET: Toxicity

hERG Blockers:  0.36 hERG Blockers (10um):  0.686
Human Hepatotoxicity (H-HT):  0.305 Drug-induced Liver Injury (DILI):  0.006
AMES Toxicity:  0.11 Rat Oral Acute Toxicity:  0.068
Maximum Recommended Daily Dose:  0.097 Skin Sensitization:  0.999
Carcinogencity:  0.214 Eye Corrosion:  0.998
Eye Irritation:  0.999 Respiratory Toxicity:  0.768
Drug-induced Neurotoxicity:  0.007 Ototoxicity:  0.139
Hematotoxicity:  0.035 Drug-induced Nephrotoxicity:  0.264
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.041
A549 Cytotoxicity:  0.62 Hek293 Cytotoxicity:  0.18
BCF:   1.818
?
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:   4.912
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.81
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.111
?
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
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Seeds Yichun, Heilongjiang Province, China 2018-Sep PMID[31292343]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO9585 Oenothera biennis Species Onagraceae 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
NPO9585 Oenothera biennis the AOCS method Seeds 6.54 n.a. n.a. mg/kg of oil PMID[31292343]

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 NPC491240 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 NPC76976
0.95 High Similarity NPC252978
0.7 Intermediate Similarity NPC126915
0.7 Intermediate Similarity NPC205141
0.7 Intermediate Similarity NPC24506
0.7 Intermediate Similarity NPC225783
0.7 Intermediate Similarity NPC279895
0.7 Intermediate Similarity NPC185538
0.7 Intermediate Similarity NPC181516
0.7 Intermediate Similarity NPC163556
0.7 Intermediate Similarity NPC139131
0.7 Intermediate Similarity NPC236797
0.7 Intermediate Similarity NPC291158
0.7 Intermediate Similarity NPC272998
0.7 Intermediate Similarity NPC112242
0.7 Intermediate Similarity NPC185041
0.7 Intermediate Similarity NPC147096
0.65 Remote Similarity NPC275462
0.65 Remote Similarity NPC151719
0.5625 Remote Similarity NPC108195
0.5556 Remote Similarity NPC15934
0.55 Remote Similarity NPC152759
0.55 Remote Similarity NPC12231
0.5385 Remote Similarity NPC474392
0.5172 Remote Similarity NPC474642
0.5172 Remote Similarity NPC473913
0.5161 Remote Similarity NPC47333

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC491240 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
0.7 Intermediate Similarity NPD2272 Phase 4
0.7 Intermediate Similarity NPD5383 Phase 4

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