Natural Product: NPC505540

Natural Product IDNPC505540
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3,7,11,15,19,23,27,31,35,39,43,47,51,55-tetradecamethylhexapentaconta-2,6,10,14,18,22,26,30,34,38,42,46,50,54-tetradecaen-1-ol
IUPAC Name 3,7,11,15,19,23,27,31,35,39,43,47,51,55-tetradecamethylhexapentaconta-2,6,10,14,18,22,26,30,34,38,42,46,50,54-tetradecaen-1-ol
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:0000259] Prenol lipids
        • [CHEMONTID:0001535] Polyprenols

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 DLNRMPLOFNVUTQ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C70H114O/c1-57(2)29-16-30-58(3)31-17-32-59(4)33-18-34-60(5)35-19-36-61(6)37-20-38-62(7)39-21-40-63(8)41-22-42-64(9)43-23-44-65(10)45-24-46-66(11)47-25-48-67(12)49-26-50-68(13)51-27-52-69(14)53-28-54-70(15)55-56-71/h29,31,33,35,37,39,41,43,45,47,49,51,53,55,71H,16-28,30,32,34,36,38,40,42,44,46,48,50,52,54,56H2,1-15H3
SMILES CC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CCO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   970.89 Volume:   1191.155
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Van der Waals volume.
Dense:   0.815 LogP:   25.107
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   11.143
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -19.83
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The logarithm of aqueous solubility value.
Rotatable Bonds:   40.0 Rigid Bonds:   14.0
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:   0.061 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.787 Fsp3:   0.6
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:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 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:   0.0
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.667 Promiscuous compounds:   0.428

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.753 MDCK Permeability:   -4.791
Pgp-inhibitor:   1.0 Pgp-substrate:   0.031
PAMPA:   0.0
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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):   0.0
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.999 MRP1:   1.0
Plasma Protein Binding (PPB):   98.063% Volume Distribution (VD):   0.225
Fu: 0.731%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.661 BCRP inhibitor:   0.001
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.993 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.99 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.107
CYP2B6-substrate:   0.05 CYP2C8-inhibitor:   0.0
HLM stability:   1.0
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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):  5.931 Half-life (T1/2):  1.224

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.493
Human Hepatotoxicity (H-HT):  0.142 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.0 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.012 Skin Sensitization:  1.0
Carcinogencity:  0.011 Eye Corrosion:  0.978
Eye Irritation:  0.969 Respiratory Toxicity:  0.433
Drug-induced Neurotoxicity:  0.413 Ototoxicity:  0.455
Hematotoxicity:  0.108 Drug-induced Nephrotoxicity:  0.186
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.119 Hek293 Cytotoxicity:  0.008
BCF:   0.129
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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:   6.937
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   9.291
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   9.814
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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
NPO1099 Capparis spinosa Species Capparaceae Eukaryota aerial parts and buds Cagliari, Sardinia 2012-FEB PMID[22769561]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota Flower n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. Database[FooDB]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1099 Capparis spinosa Species Capparaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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 NPC505540 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 NPC29091
1.0 High Similarity NPC103213
1.0 High Similarity NPC300623
1.0 High Similarity NPC213538
1.0 High Similarity NPC269823
1.0 High Similarity NPC39222
1.0 High Similarity NPC9860
0.9091 High Similarity NPC182840
0.9091 High Similarity NPC255042
0.8148 Intermediate Similarity NPC140501
0.7692 Intermediate Similarity NPC116934
0.7 Intermediate Similarity NPC604226
0.6774 Remote Similarity NPC138935
0.6774 Remote Similarity NPC601961
0.6522 Remote Similarity NPC123965
0.6522 Remote Similarity NPC115959
0.625 Remote Similarity NPC474496
0.6 Remote Similarity NPC122239
0.5926 Remote Similarity NPC160628
0.5667 Remote Similarity NPC67761
0.5667 Remote Similarity NPC209279
0.5667 Remote Similarity NPC194586
0.5667 Remote Similarity NPC108494
0.5667 Remote Similarity NPC51758
0.5556 Remote Similarity NPC474495
0.5556 Remote Similarity NPC305759
0.5556 Remote Similarity NPC473672
0.5333 Remote Similarity NPC128280
0.5172 Remote Similarity NPC185839
0.5172 Remote Similarity NPC180840

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC505540 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
0.8148 Intermediate Similarity NPD4265 Phase 2
0.5172 Remote Similarity NPD5783 Phase 3

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