Natural Product: NPC510086

Natural Product IDNPC510086
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
dec-3-en-2-ol
IUPAC Name dec-3-en-2-ol
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 HZRSDQXGMJFUKO-UHFFFAOYSA-N
Standard InCHI InChI=1S/C10H20O/c1-3-4-5-6-7-8-9-10(2)11/h8-11H,3-7H2,1-2H3
SMILES CCCCCCC=CC(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   156.15 Volume:   187.67
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Van der Waals volume.
Dense:   0.832 LogP:   3.287
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.772
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.731
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   1.0
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:   0.463 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.739 Fsp3:   0.8
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:   0.02 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:   0.001
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.998 Promiscuous compounds:   0.368

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.712 MDCK Permeability:   -4.689
Pgp-inhibitor:   0.033 Pgp-substrate:   0.218
PAMPA:   0.095
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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):   0.31
20% Bioavailability (F20%):   0.201 30% Bioavailability (F30%):   0.665
50% Bioavailability (F50%):   0.672

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.712 MRP1:   0.728
Plasma Protein Binding (PPB):   94.614% Volume Distribution (VD):   0.298
Fu: 7.411%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.303
OATP1B3 inhibitor:   0.963 BCRP inhibitor:   0.435
BSEP inhibitor:   0.378

ADMET: Metabolism

CYP1A2-inhibitor:   0.006 CYP1A2-substrate:   0.986
CYP2C19-inhibitor:   0.862 CYP2C19-substrate:   0.338
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.21
CYP2D6-inhibitor:   0.95 CYP2D6-substrate:   0.861
CYP3A4-inhibitor:   0.004 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.994 CYP2C8-inhibitor:   0.999
HLM stability:   0.699
?
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):  6.794 Half-life (T1/2):  0.932

ADMET: Toxicity

hERG Blockers:  0.277 hERG Blockers (10um):  0.723
Human Hepatotoxicity (H-HT):  0.203 Drug-induced Liver Injury (DILI):  0.013
AMES Toxicity:  0.177 Rat Oral Acute Toxicity:  0.185
Maximum Recommended Daily Dose:  0.046 Skin Sensitization:  0.943
Carcinogencity:  0.101 Eye Corrosion:  0.998
Eye Irritation:  0.998 Respiratory Toxicity:  0.619
Drug-induced Neurotoxicity:  0.086 Ototoxicity:  0.466
Hematotoxicity:  0.086 Drug-induced Nephrotoxicity:  0.207
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.046
A549 Cytotoxicity:  0.279 Hek293 Cytotoxicity:  0.047
BCF:   1.788
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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:   3.996
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.141
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.618
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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
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[26521454]
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22033 Cnidium officinale Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22033 Cnidium officinale Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22033 Cnidium officinale Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18951 Ligusticum sinense Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22033 Cnidium officinale Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO18951 Ligusticum sinense Species Apiaceae 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 NPC510086 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
0.68 Remote Similarity NPC249670
0.6538 Remote Similarity NPC474642
0.6538 Remote Similarity NPC473913
0.6 Remote Similarity NPC151719
0.5862 Remote Similarity NPC55068
0.5667 Remote Similarity NPC91226
0.5667 Remote Similarity NPC243546
0.5667 Remote Similarity NPC31194
0.5667 Remote Similarity NPC248884
0.56 Remote Similarity NPC125122
0.56 Remote Similarity NPC471276
0.56 Remote Similarity NPC471280
0.56 Remote Similarity NPC76976
0.56 Remote Similarity NPC471281
0.5484 Remote Similarity NPC72699
0.5484 Remote Similarity NPC473865
0.5484 Remote Similarity NPC489234
0.5385 Remote Similarity NPC170776
0.5385 Remote Similarity NPC9273
0.5385 Remote Similarity NPC165447
0.5385 Remote Similarity NPC471959
0.5385 Remote Similarity NPC199286
0.5385 Remote Similarity NPC489046
0.5385 Remote Similarity NPC76198
0.5385 Remote Similarity NPC610719
0.52 Remote Similarity NPC252978
0.5185 Remote Similarity NPC607242
0.5172 Remote Similarity NPC600749
0.5172 Remote Similarity NPC601019

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC510086 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
0.5862 Remote Similarity NPD3210 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