Natural Product: NPC260474

Natural Product IDNPC260474
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Avarone
IUPAC Name 2-[[(1R,2S,4aS,8aS)-1,2,4a,5-tetramethyl-2,3,4,7,8,8a-hexahydronaphthalen-1-yl]methyl]cyclohexa-2,5-diene-1,4-dione
Synonyms Avarone; Avrone
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL464645
PubChem CID 72186
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001534] Quinone and hydroquinone lipids
          • [CHEMONTID:0002802] Prenylquinones

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 VPRHEJGLNUDEEH-LWILDLIXSA-N
Standard InCHI InChI=1S/C21H28O2/c1-14-6-5-7-19-20(14,3)11-10-15(2)21(19,4)13-16-12-17(22)8-9-18(16)23/h6,8-9,12,15,19H,5,7,10-11,13H2,1-4H3/t15-,19+,20+,21+/m0/s1
SMILES CC1=CCC[C@@H]2[C@]1(C)CC[C@H](C)[C@@]2(C)CC1=CC(=O)C=CC1=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   312.21 Volume:   350.501
?
Van der Waals volume.
Dense:   0.891 LogP:   3.663
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.422
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.117
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   19.0
TPSA:   34.14
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.541 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.25 Fsp3:   0.619
MCE-18:   51.882
?
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:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   1
Colloidal aggregators:   0.719 Fluc inhibitor:   0.959
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.035
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.895 Promiscuous compounds:   0.281

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.804 MDCK Permeability:   -4.665
Pgp-inhibitor:   0.279 Pgp-substrate:   0.002
PAMPA:   0.545
?
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):   0.001
20% Bioavailability (F20%):   0.018 30% Bioavailability (F30%):   0.027
50% Bioavailability (F50%):   0.413

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.983 MRP1:   0.49
Plasma Protein Binding (PPB):   95.353% Volume Distribution (VD):   0.453
Fu: 4.486%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.966
OATP1B3 inhibitor:   0.966 BCRP inhibitor:   0.036
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.339
CYP2C19-inhibitor:   0.279 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.832
CYP3A4-inhibitor:   0.886 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.995
?
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):  10.81 Half-life (T1/2):  0.586

ADMET: Toxicity

hERG Blockers:  0.053 hERG Blockers (10um):  0.445
Human Hepatotoxicity (H-HT):  0.703 Drug-induced Liver Injury (DILI):  0.239
AMES Toxicity:  0.316 Rat Oral Acute Toxicity:  0.652
Maximum Recommended Daily Dose:  0.922 Skin Sensitization:  0.984
Carcinogencity:  0.931 Eye Corrosion:  0.972
Eye Irritation:  0.997 Respiratory Toxicity:  0.932
Drug-induced Neurotoxicity:  0.635 Ototoxicity:  0.126
Hematotoxicity:  0.549 Drug-induced Nephrotoxicity:  0.14
Genotoxicity:  0.717 RPMI-8226 Immunitoxicity:  0.05
A549 Cytotoxicity:  0.082 Hek293 Cytotoxicity:  0.752
BCF:   2.125
?
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:   5.214
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.638
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.351
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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
NPO5563 Dysidea avara Species Dysideidae Eukaryota n.a. n.a. n.a. DOI[10.1021/jo00050a043]
NPO26203 Dysidea villosa Species Dysideidae Eukaryota n.a. Hainan, China n.a. PMID[19091557]
NPO5563 Dysidea avara Species Dysideidae Eukaryota n.a. South China Sea n.a. PMID[24547794]
NPO5563 Dysidea avara Species Dysideidae Eukaryota n.a. n.a. n.a. PMID[2778453]
NPO5563 Dysidea avara Species Dysideidae Eukaryota n.a. Bay of Naples, Italy n.a. PMID[7714539]
NPO26203 Dysidea villosa Species Dysideidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5563 Dysidea avara Species Dysideidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26203 Dysidea villosa Species Dysideidae 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
NPT204 Individual protein Acetylcholinesterase Homo sapiens MIC = 1.0 ug PMID[18426901]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT168 Cell line P388 Mus musculus IC50 = 3200.0 nM PMID[19785430]
NPT81 Cell line A549 Homo sapiens IC50 = 6400.0 nM PMID[17536859]
NPT139 Cell line HT-29 Homo sapiens IC50 = 6400.0 nM PMID[22194678]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 = 6400.0 nM PMID[19785430]
NPT168 Cell line P388 Mus musculus IC50 = 3100.0 nM DrugMatrix in vitro pharmacology data
NPT81 Cell line A549 Homo sapiens IC50 = 6000.0 nM DrugMatrix in vitro pharmacology data
NPT139 Cell line HT-29 Homo sapiens IC50 = 6000.0 nM PMID[15217297]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 = 6000.0 nM Open TG-GATES in vivo data: Biochemistry
NPT111 Cell line K562 Homo sapiens IC50 = 4900.0 nM DrugMatrix in vitro pharmacology data
NPT165 Cell line HeLa Homo sapiens IC50 = 26800.0 nM PMID[19013823]
NPT927 Cell line PBMC Homo sapiens IC50 = 4800.0 nM PMID[17536859]
NPT927 Cell line PBMC Homo sapiens IC50 = 4500.0 nM PMID[26222693]
NPT81 Cell line A549 Homo sapiens IC50 = 30030.0 nM DrugMatrix in vitro pharmacology data
NPT165 Cell line HeLa Homo sapiens IC50 = 18120.0 nM PMID[21044847]
NPT111 Cell line K562 Homo sapiens IC50 = 17080.0 nM PMID[11689078]
NPT2488 Cell line MDA-MB-453 Homo sapiens IC50 = 16710.0 nM PubChem BioAssay data set
NPT171 Cell line MRC5 Homo sapiens IC50 > 200000.0 nM PMID[20028108]
NPT397 Cell line NCI-H460 Homo sapiens IC50 = 24000.0 nM PMID[16562825]
NPT941 Cell line HaCaT Homo sapiens IC30 = 16.0 uM PMID[23176597]
NPT941 Cell line HaCaT Homo sapiens IC50 = 37000.0 nM PMID[24070022]
NPT397 Cell line NCI-H460 Homo sapiens IC30 = 36.0 uM PMID[24070022]
NPT397 Cell line NCI-H460 Homo sapiens Selectivity ratio <= 1.5 n.a. PMID[27128177]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 74.0 % PMID[19223646]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 3.4 % PMID[17542634]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 16.3 % DrugMatrix in vivo data: Hematology
NPT397 Cell line NCI-H460 Homo sapiens Activity = 6.3 % PMID[12105963]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 65.8 % PMID[25650896]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 2.6 % PMID[18356045]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 22.7 % PMID[18278870]
NPT397 Cell line NCI-H460 Homo sapiens Activity = 8.9 % PMID[226705]
NPT941 Cell line HaCaT Homo sapiens Activity = 78.3 % PMID[3560159]
NPT941 Cell line HaCaT Homo sapiens Activity = 2.5 % PMID[23527875]
NPT941 Cell line HaCaT Homo sapiens Activity = 10.1 % PMID[17420206]
NPT941 Cell line HaCaT Homo sapiens Activity = 9.1 % PMID[24210499]
NPT397 Cell line NCI-H460 Homo sapiens IC50 = 84000.0 nM PMID[20149652]
NPT397 Cell line NCI-H460 Homo sapiens IC30 = 10.0 uM PMID[11520222]
NPT22 Organism Bacillus subtilis subsp. spizizenii Bacillus subtilis subsp. spizizenii MIC = 10.0 ug.mL-1 PMID[10649984]
NPT729 Organism Micrococcus luteus Micrococcus luteus MIC = 1.0 ug.mL-1 PMID[15686950]
NPT729 Organism Micrococcus luteus Micrococcus luteus MIC = 2000380.0 nM PMID[20558060]
NPT1824 Organism Clostridium sporogenes Clostridium sporogenes MIC = 20030.0 nM PMID[24219991]
NPT1190 Organism Salmonella enterica Salmonella enterica MIC = 55120.0 nM PMID[19459694]
NPT141 Organism Agrobacterium tumefaciens Agrobacterium tumefaciens Inhibition = 63.0 % PMID[21316959]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 23900.0 nM PMID[19995673]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 40330.0 nM PMID[26476666]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 80130.0 nM PMID[25137549]
NPT3888 Organism Micrococcus flavus Micrococcus flavus MIC = 20030.0 nM PMID[12762801]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 1.56 ug.mL-1 PMID[17724159]
NPT1 Others Radical scavenging activity n.a. IC50 = 32100.0 nM PMID[11809072]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 6.25 ug.mL-1 PMID[18986200]
NPT19 Organism Escherichia coli Escherichia coli MIC = 25.0 ug.mL-1 PMID[11374943]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 40060.0 nM DrugMatrix in vivo data: Biochemistry
NPT19 Organism Escherichia coli Escherichia coli MIC = 440960.0 nM PMID[20727622]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC = 13780.0 nM PMID[10924160]
NPT20972 Cell line SU.86.86 Homo sapiens Activity > 20.0 % PMID[31980363]
NPT3147 Organism Kocuria rhizophila Kocuria rhizophila MIC = 20030.0 nM PubChem BioAssay data set

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 LC50 = 0.14 ppm PMID[21334900]
- Artemia salina LC50 = 170.0 ppm PMID[24900630]
- Artemia salina LC50 = 0.14 ppm PMID[11809072]

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 NPC260474 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
0.6863 Remote Similarity NPC302761
0.6731 Remote Similarity NPC108955
0.6481 Remote Similarity NPC602754
0.6481 Remote Similarity NPC608337
0.6 Remote Similarity NPC475833
0.5745 Remote Similarity NPC606666
0.5357 Remote Similarity NPC55869
0.5167 Remote Similarity NPC99308
0.5147 Remote Similarity NPC605940

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC260474 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