Natural Product: NPC541670

Natural Product IDNPC541670
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-(3,7,12,16,20,24-hexamethylpentacosa-1,3,5,7,9,11,15,19,23-nonaenyl)-1,3,3-trimethyl-cyclohexene
IUPAC Name 2-(3,7,12,16,20,24-hexamethylpentacosa-1,3,5,7,9,11,15,19,23-nonaenyl)-1,3,3-trimethyl-cyclohexene
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:0001554] Tetraterpenoids
          • [CHEMONTID:0001277] Carotenoids
            • [CHEMONTID:0001411] Carotenes

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 CJPVGWWWFOEZJV-UHFFFAOYSA-N
Standard InCHI InChI=1S/C40H60/c1-32(2)18-13-21-35(5)24-15-26-36(6)25-14-22-33(3)19-11-12-20-34(4)23-16-27-37(7)29-30-39-38(8)28-17-31-40(39,9)10/h11-12,16,18-20,23-25,27,29-30H,13-15,17,21-22,26,28,31H2,1-10H3
SMILES CC(C)=CCCC(C)=CCCC(C)=CCCC(C)=CC=CC=C(C)C=CC=C(C)C=CC1=C(C)CCCC1(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   540.47 Volume:   665.475
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Van der Waals volume.
Dense:   0.812 LogP:   15.065
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   8.003
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -10.992
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   15.0
TPSA:   0.0
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Topological Polar Surface Area.
H-Bond Acceptor:   0.0
H-Bond Donor:   0.0 Rings:   1.0
Heavy Atoms:   0.0

MedChem Properties

QED Drug-Likeness Score:   0.143 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.72 Fsp3:   0.5
MCE-18:   15.867
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.666
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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:   0.007
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.674 Promiscuous compounds:   0.152

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.732 MDCK Permeability:   -4.748
Pgp-inhibitor:   0.991 Pgp-substrate:   0.055
PAMPA:   0.009
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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%):   0.001 30% Bioavailability (F30%):   0.002
50% Bioavailability (F50%):   0.724

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.998 MRP1:   0.999
Plasma Protein Binding (PPB):   96.955% Volume Distribution (VD):   0.407
Fu: 2.791%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.984
OATP1B3 inhibitor:   0.155 BCRP inhibitor:   0.013
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.099
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.973 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.995 CYP3A4-substrate:   1.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   1.0
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):  8.613 Half-life (T1/2):  0.226

ADMET: Toxicity

hERG Blockers:  0.238 hERG Blockers (10um):  0.675
Human Hepatotoxicity (H-HT):  0.345 Drug-induced Liver Injury (DILI):  0.028
AMES Toxicity:  0.273 Rat Oral Acute Toxicity:  0.307
Maximum Recommended Daily Dose:  0.784 Skin Sensitization:  1.0
Carcinogencity:  0.563 Eye Corrosion:  0.094
Eye Irritation:  0.788 Respiratory Toxicity:  0.91
Drug-induced Neurotoxicity:  0.686 Ototoxicity:  0.399
Hematotoxicity:  0.216 Drug-induced Nephrotoxicity:  0.685
Genotoxicity:  0.006 RPMI-8226 Immunitoxicity:  0.121
A549 Cytotoxicity:  0.228 Hek293 Cytotoxicity:  0.289
BCF:   3.242
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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:   6.101
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.313
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   8.715
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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
NPO11114 Phycomyces blakesleeanus Species Phycomycetaceae Eukaryota n.a. n.a. n.a. PMID[9868149]
NPO13966 Coccinella septempunctata Species Coccinellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13763 Dioscorea prazeri Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13662 Elysia timida Species Placobranchidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5117 Gyalolechia fulgens Species Teloschistaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13573 Medicago scutellata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11114 Phycomyces blakesleeanus Species Phycomycetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13866 Sterculia setigera Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13866 Sterculia setigera Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13573 Medicago scutellata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5117 Gyalolechia fulgens Species Teloschistaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13966 Coccinella septempunctata Species Coccinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11114 Phycomyces blakesleeanus Species Phycomycetaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13662 Elysia timida Species Placobranchidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13763 Dioscorea prazeri Species Dioscoreaceae 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 NPC541670 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
0.7105 Intermediate Similarity NPC17810
0.7105 Intermediate Similarity NPC606095
0.6316 Remote Similarity NPC99088
0.6316 Remote Similarity NPC173592
0.5909 Remote Similarity NPC22019
0.5909 Remote Similarity NPC281986
0.5909 Remote Similarity NPC321568
0.5778 Remote Similarity NPC55412
0.5778 Remote Similarity NPC249645
0.5294 Remote Similarity NPC254886
0.5263 Remote Similarity NPC305759
0.5098 Remote Similarity NPC226066

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC541670 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
0.7105 Intermediate Similarity NPD8262 Phase 4
0.5778 Remote Similarity NPD4219 Phase 4
0.5098 Remote Similarity NPD5325 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