Natural Product: NPC144027

Natural Product IDNPC144027
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Olympicin A
IUPAC Name (2S)-1-[2-[(2E)-3,7-dimethylocta-2,6-dienoxy]-4,6-dihydroxyphenyl]-2-methylbutan-1-one
Synonyms Olympicin A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2023358
PubChem CID 57380109
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003670] Aryl ketones
              • [CHEMONTID:0004296] Phenylketones
                • [CHEMONTID:0004298] Alkyl-phenylketones

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 UMIJNJJRYSRDPG-KMPOOHAWSA-N
Standard InCHI InChI=1S/C21H30O4/c1-6-16(5)21(24)20-18(23)12-17(22)13-19(20)25-11-10-15(4)9-7-8-14(2)3/h8,10,12-13,16,22-23H,6-7,9,11H2,1-5H3/b15-10+/t16-/m0/s1
SMILES CC[C@@H](C(=O)c1c(OC/C=C(/CCC=C(C)C)C)cc(cc1O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   346.21 Volume:   382.558
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Van der Waals volume.
Dense:   0.905 LogP:   5.75
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.944
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.71
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   9.0
TPSA:   66.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.464 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.276 Fsp3:   0.476
MCE-18:   22.0
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.507 Fluc inhibitor:   0.226
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.282
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.363
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.707 Promiscuous compounds:   0.201

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.776 MDCK Permeability:   -4.604
Pgp-inhibitor:   0.74 Pgp-substrate:   0.255
PAMPA:   0.029
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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):   0.001
20% Bioavailability (F20%):   0.481 30% Bioavailability (F30%):   0.99
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.711
Plasma Protein Binding (PPB):   95.953% Volume Distribution (VD):   0.164
Fu: 4.044%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.991
BSEP inhibitor:   0.221

ADMET: Metabolism

CYP1A2-inhibitor:   0.398 CYP1A2-substrate:   0.946
CYP2C19-inhibitor:   0.374 CYP2C19-substrate:   0.421
CYP2C9-inhibitor:   0.009 CYP2C9-substrate:   0.01
CYP2D6-inhibitor:   0.055 CYP2D6-substrate:   0.735
CYP3A4-inhibitor:   0.004 CYP3A4-substrate:   0.996
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.841
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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):  8.55 Half-life (T1/2):  0.862

ADMET: Toxicity

hERG Blockers:  0.207 hERG Blockers (10um):  0.56
Human Hepatotoxicity (H-HT):  0.535 Drug-induced Liver Injury (DILI):  0.318
AMES Toxicity:  0.221 Rat Oral Acute Toxicity:  0.201
Maximum Recommended Daily Dose:  0.531 Skin Sensitization:  0.989
Carcinogencity:  0.29 Eye Corrosion:  0.01
Eye Irritation:  0.891 Respiratory Toxicity:  0.965
Drug-induced Neurotoxicity:  0.579 Ototoxicity:  0.437
Hematotoxicity:  0.247 Drug-induced Nephrotoxicity:  0.292
Genotoxicity:  0.431 RPMI-8226 Immunitoxicity:  0.115
A549 Cytotoxicity:  0.351 Hek293 Cytotoxicity:  0.469
BCF:   2.192
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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:   4.825
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.344
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.825
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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
NPO22037 Hypericum olympicum Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[21899267]
NPO22037 Hypericum olympicum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22037 Hypericum olympicum Species Hypericaceae 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
NPT29994 Single protein UDP-N-acetylmuramoyl-L-alanyl-D-glutamate--2,6-diaminopimelate ligase Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) IC50 = 75000.0 nM PMID[36731248]
NPT1567 Protein complex DNA gyrase Escherichia coli K-12 IC50 = 500000.0 nM PMID[16499317]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1374 Cell line WI-38 Homo sapiens IC50 = 8900.0 nM PMID[36731248]
NPT83 Cell line MCF7 Homo sapiens IC50 = 12500.0 nM PMID[36731248]
NPT81 Cell line A549 Homo sapiens IC50 = 10500.0 nM PMID[36731248]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC > 1000000.0 nM PMID[22951040]
NPT602 Organism Mycobacterium smegmatis Mycobacterium smegmatis MIC = 11600.0 nM PMID[17371827]
NPT1176 Organism Mycobacterium fortuitum Mycobacterium fortuitum MIC = 23200.0 nM PMID[4020828]
NPT1466 Organism Escherichia coli K12 Escherichia coli K-12 MIC > 200.0 ug.mL-1 PMID[16872154]
NPT173 Organism Klebsiella pneumoniae Klebsiella pneumoniae MIC > 200.0 ug.mL-1 PMID[18710917]
NPT1548 Organism Pseudomonas aeruginosa PAO1 Pseudomonas aeruginosa PAO1 MIC > 200.0 ug.mL-1 PMID[18973387]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 2900.0 nM PMID[4020828]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 1450.0 nM PMID[23701598]
NPT1177 Organism Mycobacterium phlei Mycobacterium phlei MIC = 11600.0 nM PMID[4020828]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC > 1000000.0 nM PubChem BioAssay data set
NPT175 Organism Enterococcus faecalis Enterococcus faecalis MIC = 1.56 ug.mL-1 PMID[12608857]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 1.56 ug.mL-1 PMID[17850214]
NPT19 Organism Escherichia coli Escherichia coli MIC > 200.0 ug.mL-1 PMID[12161151]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 0.5 ug.mL-1 PMID[29890387]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 1.0 ug.mL-1 PMID[29890387]
NPT790 Organism Mycobacterium tuberculosis H37Rv Mycobacterium tuberculosis H37Rv MIC = 200.0 ug.mL-1 PMID[16933872]
NPT2 Others Unspecified n.a. IC50 = 30000.0 nM PMID[15332845]
NPT2 Others Unspecified n.a. IC50 > 500000.0 nM DOI[10.6019/CHEMBL1201861]
NPT1477 Organism Staphylococcus haemolyticus Staphylococcus haemolyticus MIC > 32.0 ug.mL-1 PMID[36731248]
NPT1477 Organism Staphylococcus haemolyticus Staphylococcus haemolyticus MIC >= 16.0 ug.mL-1 PMID[36731248]

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 NPC144027 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
0.7818 Intermediate Similarity NPC240147
0.7414 Intermediate Similarity NPC470399
0.7414 Intermediate Similarity NPC470397
0.7288 Intermediate Similarity NPC470398
0.6949 Remote Similarity NPC187826
0.6271 Remote Similarity NPC156910
0.614 Remote Similarity NPC236974
0.5893 Remote Similarity NPC203817
0.5538 Remote Similarity NPC307990
0.55 Remote Similarity NPC121243
0.5373 Remote Similarity NPC23257
0.5294 Remote Similarity NPC91902
0.5147 Remote Similarity NPC484050
0.5143 Remote Similarity NPC471587

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC144027 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