Natural Product: NPC178566

Natural Product IDNPC178566
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YWCXXASGSVDIPE-PPJIMLGUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5819584
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0001543] Sesquiterpene lactones
            • [CHEMONTID:0001771] Germacranolides and derivatives

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 YWCXXASGSVDIPE-PPJIMLGUSA-N
Standard InCHI InChI=1S/C19H24O5/c1-11(2)18(21)23-16-9-14(10-20)7-5-6-12(3)8-15-17(16)13(4)19(22)24-15/h7-8,10-11,15-17H,4-6,9H2,1-3H3/b12-8+,14-7+
SMILES CC(C)C(=O)OC1C/C(=CCC/C(=C/C2C1C(=C)C(=O)O2)/C)/C=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   332.16 Volume:   348.2
?
Van der Waals volume.
Dense:   0.954 LogP:   2.395
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.341
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.468
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   18.0
TPSA:   69.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   2.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.344 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.681 Fsp3:   0.526
MCE-18:   36.207
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.31 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.021
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.592
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.536 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.669 MDCK Permeability:   -4.649
Pgp-inhibitor:   0.949 Pgp-substrate:   0.007
PAMPA:   0.13
?
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):   0.323
20% Bioavailability (F20%):   0.404 30% Bioavailability (F30%):   0.871
50% Bioavailability (F50%):   0.894

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.019 MRP1:   0.9
Plasma Protein Binding (PPB):   68.996% Volume Distribution (VD):   -0.017
Fu: 31.246%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.885
OATP1B3 inhibitor:   0.986 BCRP inhibitor:   0.007
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.038 CYP1A2-substrate:   0.101
CYP2C19-inhibitor:   0.245 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   0.663 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.764
CYP3A4-inhibitor:   0.95 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.975
HLM stability:   0.871
?
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):  4.848 Half-life (T1/2):  0.858

ADMET: Toxicity

hERG Blockers:  0.013 hERG Blockers (10um):  0.151
Human Hepatotoxicity (H-HT):  0.872 Drug-induced Liver Injury (DILI):  0.984
AMES Toxicity:  0.51 Rat Oral Acute Toxicity:  0.104
Maximum Recommended Daily Dose:  0.876 Skin Sensitization:  0.929
Carcinogencity:  0.723 Eye Corrosion:  0.001
Eye Irritation:  0.422 Respiratory Toxicity:  0.208
Drug-induced Neurotoxicity:  0.799 Ototoxicity:  0.697
Hematotoxicity:  0.263 Drug-induced Nephrotoxicity:  0.892
Genotoxicity:  0.952 RPMI-8226 Immunitoxicity:  0.219
A549 Cytotoxicity:  0.099 Hek293 Cytotoxicity:  0.505
BCF:   1.358
?
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:   4.138
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.707
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.322
?
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
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s40502-015-0143-x]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1093/pcp/pcg054]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1134/S1021443709050069]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[11524125]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. leaf n.a. PMID[11524125]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota Leaves n.a. n.a. PMID[12713396]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota roots n.a. n.a. PMID[20022509]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[21866899]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[23325115]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota Roots n.a. n.a. PMID[23541646]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[28140583]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[39683057]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[7381508]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11018 Acanthospermum glabratum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11018 Acanthospermum glabratum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO29384 Glycyrrhiza glabra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24304 Glycyrrhiza lepidota Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11018 Acanthospermum glabratum Species Asteraceae 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 NPC178566 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
0.6875 Remote Similarity NPC171204
0.6875 Remote Similarity NPC606745
0.6735 Remote Similarity NPC611318
0.6481 Remote Similarity NPC281132
0.6111 Remote Similarity NPC473390
0.6 Remote Similarity NPC481909
0.5789 Remote Similarity NPC470755
0.5789 Remote Similarity NPC298801
0.566 Remote Similarity NPC59097
0.5439 Remote Similarity NPC488298
0.541 Remote Similarity NPC481911
0.5385 Remote Similarity NPC97516
0.5294 Remote Similarity NPC58956
0.5294 Remote Similarity NPC163003
0.5294 Remote Similarity NPC295633
0.5294 Remote Similarity NPC269206
0.5185 Remote Similarity NPC488306
0.5179 Remote Similarity NPC486040
0.5172 Remote Similarity NPC158756
0.5172 Remote Similarity NPC601035
0.5167 Remote Similarity NPC469910
0.5088 Remote Similarity NPC165383

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC178566 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