Natural Product: NPC201806

Natural Product IDNPC201806
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 WXPKUEOZWGDJJE-ZUZCIYMTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14830797
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0003655] Eremophilane, 8,9-secoeremophilane and furoeremophilane sesquiterpenoids

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 WXPKUEOZWGDJJE-ZUZCIYMTSA-N
Standard InCHI InChI=1S/C15H22O2/c1-10-6-5-7-11-8-13(16)12(14(2,3)17)9-15(10,11)4/h8-10,17H,5-7H2,1-4H3/t10-,15+/m0/s1
SMILES C[C@H]1CCCC2=CC(=O)C(=C[C@]12C)C(C)(C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   234.16 Volume:   260.554
?
Van der Waals volume.
Dense:   0.899 LogP:   1.927
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.075
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -3.165
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   12.0
TPSA:   37.3
?
Topological Polar Surface Area.
 H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   2.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.757 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.014 Fsp3:   0.667
MCE-18:   38.4
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
 Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.042 Fluc inhibitor:   0.322
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.266
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.05
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.937 Promiscuous compounds:   0.557

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.707 MDCK Permeability:   -4.55
Pgp-inhibitor:   0.417 Pgp-substrate:   0.061
PAMPA:   0.103
?
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%):   0.016 30% Bioavailability (F30%):   0.022
50% Bioavailability (F50%):   0.318

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.794 MRP1:   0.753
Plasma Protein Binding (PPB):   61.163% Volume Distribution (VD):   0.101
Fu: 39.102%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.958
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.22
BSEP inhibitor:   0.982

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.692
CYP2C19-inhibitor:   0.98 CYP2C19-substrate:   0.055
CYP2C9-inhibitor:   0.809 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.012 CYP2D6-substrate:   0.716
CYP3A4-inhibitor:   0.851 CYP3A4-substrate:   0.795
CYP2B6-substrate:   0.089 CYP2C8-inhibitor:   0.979
HLM stability:   0.37
?
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):  9.596 Half-life (T1/2):  0.877

ADMET: Toxicity

hERG Blockers:  0.058 hERG Blockers (10um):  0.269
Human Hepatotoxicity (H-HT):  0.758 Drug-induced Liver Injury (DILI):  0.524
AMES Toxicity:  0.582 Rat Oral Acute Toxicity:  0.418
Maximum Recommended Daily Dose:  0.686 Skin Sensitization:  0.95
Carcinogencity:  0.94 Eye Corrosion:  0.123
Eye Irritation:  0.983 Respiratory Toxicity:  0.784
Drug-induced Neurotoxicity:  0.225 Ototoxicity:  0.4
Hematotoxicity:  0.497 Drug-induced Nephrotoxicity:  0.624
Genotoxicity:  0.835 RPMI-8226 Immunitoxicity:  0.097
A549 Cytotoxicity:  0.043 Hek293 Cytotoxicity:  0.344
BCF:   0.979
?
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:   3.446
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.867
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   4.235
?
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
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[15678383]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[16045947]
NPO8764 Laurencia decumbens Species Rhodomelaceae Eukaryota n.a. n.a. n.a. PMID[17711344]
NPO8653 Leuconostoc mesenteroides Species Leuconostocaceae Bacteria n.a. n.a. n.a. PMID[19025748]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. PMID[19245240]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. stem n.a. PMID[20188156]
NPO3123 Anthemis cretica Species Asteraceae Eukaryota n.a. aerial part n.a. PMID[22351977]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. Malaysian n.a. PMID[7506311]
NPO19826 Helicoverpa armigera Species Noctuidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2012 Turnera diffusa Species Passifloraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26103 Streptomyces bobili Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO28741 Afrocarpus gracilior Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2495 Agave xylonacantha Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3123 Anthemis cretica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6766 Antiphiona pinnatisecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9567 Enicosanthum cupulare Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8764 Laurencia decumbens Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8653 Leuconostoc mesenteroides Species Leuconostocaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO10991 Maackia tashiroi Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9136 Pseudocyclosorus subochthodes Species Thelypteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28741 Afrocarpus gracilior Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3123 Anthemis cretica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2012 Turnera diffusa Species Passifloraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2495 Agave xylonacantha Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24671 Lycopodium japonicum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3123 Anthemis cretica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19826 Helicoverpa armigera Species Noctuidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26103 Streptomyces bobili Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO6766 Antiphiona pinnatisecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9567 Enicosanthum cupulare Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8653 Leuconostoc mesenteroides Species Leuconostocaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10991 Maackia tashiroi Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8764 Laurencia decumbens Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9136 Pseudocyclosorus subochthodes Species Thelypteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28741 Afrocarpus gracilior Species Podocarpaceae 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 NPC201806 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
0.6512 Remote Similarity NPC486642

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC201806 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