Natural Product: NPC474644

Natural Product IDNPC474644
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(R,E)-19-Methylicos-4-En-1-Yn-3-Ol
IUPAC Name (E,3R)-19-methylicos-4-en-1-yn-3-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL477910
PubChem CID 10063778
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 WWRPDXSKUHAOGI-UITZCYDRSA-N
Standard InCHI InChI=1S/C21H38O/c1-4-21(22)19-17-15-13-11-9-7-5-6-8-10-12-14-16-18-20(2)3/h1,17,19-22H,5-16,18H2,2-3H3/b19-17+/t21-/m0/s1
SMILES C#C[C@@H](/C=C/CCCCCCCCCCCCCC(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   306.29 Volume:   372.653
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Van der Waals volume.
Dense:   0.822 LogP:   6.872
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.179
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.402
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   2.0
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:   0.215 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.962 Fsp3:   0.81
MCE-18:   2.0
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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:   0.562 Fluc inhibitor:   0.013
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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:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.985 Promiscuous compounds:   0.051

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.052 MDCK Permeability:   -4.715
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
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):   0.109
20% Bioavailability (F20%):   0.078 30% Bioavailability (F30%):   0.891
50% Bioavailability (F50%):   0.966

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.001
Plasma Protein Binding (PPB):   99.389% Volume Distribution (VD):   0.79
Fu: 0.453%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.344
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.901
BSEP inhibitor:   0.817

ADMET: Metabolism

CYP1A2-inhibitor:   0.007 CYP1A2-substrate:   0.111
CYP2C19-inhibitor:   0.024 CYP2C19-substrate:   0.298
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.173
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.879
CYP3A4-inhibitor:   0.978 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.85
?
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):  5.29 Half-life (T1/2):  0.548

ADMET: Toxicity

hERG Blockers:  0.101 hERG Blockers (10um):  0.742
Human Hepatotoxicity (H-HT):  0.617 Drug-induced Liver Injury (DILI):  0.057
AMES Toxicity:  0.131 Rat Oral Acute Toxicity:  0.336
Maximum Recommended Daily Dose:  0.529 Skin Sensitization:  0.984
Carcinogencity:  0.671 Eye Corrosion:  0.253
Eye Irritation:  0.964 Respiratory Toxicity:  1.0
Drug-induced Neurotoxicity:  0.143 Ototoxicity:  0.626
Hematotoxicity:  0.044 Drug-induced Nephrotoxicity:  0.279
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.231
A549 Cytotoxicity:  0.705 Hek293 Cytotoxicity:  0.233
BCF:   1.26
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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:   4.923
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.559
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.618
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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
NPO15047 Cribrochalina vasculum Species Niphatidae Eukaryota n.a. Caribbean n.a. PMID[1431945]
NPO15047 Cribrochalina vasculum Species Niphatidae Eukaryota n.a. n.a. n.a. PMID[8691203]
NPO15047 Cribrochalina vasculum Species Niphatidae Eukaryota n.a. n.a. n.a. PMID[8984159]
NPO15047 Cribrochalina vasculum Species Niphatidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15047 Cribrochalina vasculum Species Niphatidae 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
- Artemia salina LC50 = 0.8 ug.mL-1 PMID[8450319]

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 NPC474644 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
0.7742 Intermediate Similarity NPC474643
0.7742 Intermediate Similarity NPC473865
0.7692 Intermediate Similarity NPC125122
0.7692 Intermediate Similarity NPC471276
0.7692 Intermediate Similarity NPC471280
0.7692 Intermediate Similarity NPC471281
0.75 Intermediate Similarity NPC249670
0.7407 Intermediate Similarity NPC170776
0.7407 Intermediate Similarity NPC9273
0.7407 Intermediate Similarity NPC165447
0.7407 Intermediate Similarity NPC471959
0.7407 Intermediate Similarity NPC199286
0.7407 Intermediate Similarity NPC489046
0.7407 Intermediate Similarity NPC76198
0.7407 Intermediate Similarity NPC610719
0.7241 Intermediate Similarity NPC474642
0.7241 Intermediate Similarity NPC473913
0.7143 Intermediate Similarity NPC607242
0.5714 Remote Similarity NPC471239
0.5714 Remote Similarity NPC161838
0.5714 Remote Similarity NPC55383
0.5556 Remote Similarity NPC471960
0.5556 Remote Similarity NPC477727
0.525 Remote Similarity NPC471278
0.5161 Remote Similarity NPC215358
0.5128 Remote Similarity NPC197272

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474644 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
NPD

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