Natural Product: NPC66124

Natural Product IDNPC66124
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Nonanol
IUPAC Name nonan-3-ol
Synonyms 3-Nonanol
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL487999
PubChem CID 12216
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] 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 GYSCXPVAKHVAAY-UHFFFAOYSA-N
Standard InCHI InChI=1S/C9H20O/c1-3-5-6-7-8-9(10)4-2/h9-10H,3-8H2,1-2H3
SMILES CCCCCCC(CC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   144.15 Volume:   173.011
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Van der Waals volume.
Dense:   0.833 LogP:   3.03
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.62
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.479
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   0.0
TPSA:   20.23
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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:   0.568 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.317 Fsp3:   1.0
MCE-18:   1.0
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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:   Rejected
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.071 Fluc inhibitor:   0.0
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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:   0.999 Promiscuous compounds:   0.089

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.988 MDCK Permeability:   -4.72
Pgp-inhibitor:   0.063 Pgp-substrate:   0.699
PAMPA:   0.224
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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):   0.744
20% Bioavailability (F20%):   0.514 30% Bioavailability (F30%):   0.838
50% Bioavailability (F50%):   0.526

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.869 MRP1:   0.863
Plasma Protein Binding (PPB):   88.003% Volume Distribution (VD):   0.157
Fu: 15.02%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.061
OATP1B3 inhibitor:   0.668 BCRP inhibitor:   0.725
BSEP inhibitor:   0.291

ADMET: Metabolism

CYP1A2-inhibitor:   0.015 CYP1A2-substrate:   0.914
CYP2C19-inhibitor:   0.72 CYP2C19-substrate:   0.22
CYP2C9-inhibitor:   0.814 CYP2C9-substrate:   0.45
CYP2D6-inhibitor:   0.78 CYP2D6-substrate:   0.142
CYP3A4-inhibitor:   0.008 CYP3A4-substrate:   0.863
CYP2B6-substrate:   0.897 CYP2C8-inhibitor:   0.792
HLM stability:   0.154
?
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):  9.785 Half-life (T1/2):  1.0

ADMET: Toxicity

hERG Blockers:  0.182 hERG Blockers (10um):  0.677
Human Hepatotoxicity (H-HT):  0.42 Drug-induced Liver Injury (DILI):  0.06
AMES Toxicity:  0.146 Rat Oral Acute Toxicity:  0.12
Maximum Recommended Daily Dose:  0.189 Skin Sensitization:  0.871
Carcinogencity:  0.295 Eye Corrosion:  0.994
Eye Irritation:  0.998 Respiratory Toxicity:  0.808
Drug-induced Neurotoxicity:  0.12 Ototoxicity:  0.353
Hematotoxicity:  0.183 Drug-induced Nephrotoxicity:  0.263
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.047
A549 Cytotoxicity:  0.302 Hek293 Cytotoxicity:  0.094
BCF:   1.185
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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:   3.402
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.502
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.999
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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
NPO60587 Hypericum revolutum subsp. keniense Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[36636606]
NPO52966 Clinopodium nepeta subsp. spruneri Genus Lamiaceae Eukaryota n.a. n.a. n.a. PMID[38140425]
NPO23256 Mentha arvensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13857 Mentha canadensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23256 Mentha arvensis Species Lamiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO23256 Mentha arvensis Species Lamiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO13857 Mentha canadensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13857 Mentha canadensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO23256 Mentha arvensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO23256 Mentha arvensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13857 Mentha canadensis Species Lamiaceae 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
NPO52966 Clinopodium nepeta subsp. spruneri Oil n.a. 0.2 n.a. n.a. % PMID[38140425]
NPO52966 Clinopodium nepeta subsp. spruneri Oil n.a. 0.6 n.a. n.a. % PMID[38140425]
NPO52966 Clinopodium nepeta subsp. spruneri Oil n.a. 0.3 n.a. n.a. % PMID[38140425]
NPO52966 Clinopodium nepeta subsp. spruneri Oil n.a. 0.4 n.a. n.a. % PMID[38140425]
NPO60587 Hypericum revolutum subsp. keniense Oil Leaves 0 n.a. n.a. % PMID[36636606]
NPO60587 Hypericum revolutum subsp. keniense Oil Flowers 0.1 n.a. n.a. % PMID[36636606]

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
NPT167 Organism Propionibacterium acnes Propionibacterium acnes MIC = 200.0 ug.mL-1 PMID[8158169]

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 NPC66124 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
0.9375 High Similarity NPC122962
0.7647 Intermediate Similarity NPC159845
0.6667 Remote Similarity NPC319034
0.6667 Remote Similarity NPC1748
0.6667 Remote Similarity NPC72324
0.6667 Remote Similarity NPC97967
0.6667 Remote Similarity NPC193062
0.6471 Remote Similarity NPC608484
0.6364 Remote Similarity NPC474392
0.625 Remote Similarity NPC325345
0.6111 Remote Similarity NPC110884
0.6087 Remote Similarity NPC479534
0.5882 Remote Similarity NPC232554
0.5652 Remote Similarity NPC474914
0.5625 Remote Similarity NPC252154
0.5217 Remote Similarity NPC478319
0.5217 Remote Similarity NPC121062
0.5217 Remote Similarity NPC29222
0.5217 Remote Similarity NPC96966
0.5217 Remote Similarity NPC602997

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC66124 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
0.625 Remote Similarity NPD8988 Clinical (unspecified phase)
0.5217 Remote Similarity NPD3214 Discontinued

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