Natural Product: NPC488117

Natural Product IDNPC488117
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 CVKHUORGQRAYFR-FSZPOTLFSA-N
IUPAC Name n.a.
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: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 CVKHUORGQRAYFR-FSZPOTLFSA-N
Standard InCHI InChI=1S/C20H26O4/c1-12-6-5-7-13(2)11-17-18(15(4)20(23)24-17)16(10-12)19(22)14(3)8-9-21/h6,8,11,16-18,21H,4-5,7,9-10H2,1-3H3/b12-6+,13-11+,14-8+/t16-,17-,18-/m1/s1
SMILES C/C/1=CCC/C(=C/[C@@H]2[C@H](C(=C)C(=O)O2)[C@@H](C1)C(=O)/C(=C/CO)/C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   330.18 Volume:   356.705
?
Van der Waals volume.
Dense:   0.926 LogP:   2.143
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.281
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -3.298
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   18.0
TPSA:   63.6
?
Topological Polar Surface Area.
 H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.49 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.928 Fsp3:   0.5
MCE-18:   36.0
?
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:   0.12 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.247
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.038
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.563 Promiscuous compounds:   0.235

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.81 MDCK Permeability:   -4.661
Pgp-inhibitor:   0.976 Pgp-substrate:   0.008
PAMPA:   0.061
?
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):   0.05
20% Bioavailability (F20%):   0.077 30% Bioavailability (F30%):   0.601
50% Bioavailability (F50%):   0.876

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.803
Plasma Protein Binding (PPB):   78.421% Volume Distribution (VD):   -0.132
Fu: 18.878%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.017
BSEP inhibitor:   0.975

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.82 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.899 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.283 CYP2D6-substrate:   0.53
CYP3A4-inhibitor:   0.025 CYP3A4-substrate:   0.969
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.227
HLM stability:   0.7
?
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):  9.218 Half-life (T1/2):  1.115

ADMET: Toxicity

hERG Blockers:  0.018 hERG Blockers (10um):  0.073
Human Hepatotoxicity (H-HT):  0.874 Drug-induced Liver Injury (DILI):  0.97
AMES Toxicity:  0.578 Rat Oral Acute Toxicity:  0.086
Maximum Recommended Daily Dose:  0.407 Skin Sensitization:  0.995
Carcinogencity:  0.524 Eye Corrosion:  0.004
Eye Irritation:  0.831 Respiratory Toxicity:  0.126
Drug-induced Neurotoxicity:  0.642 Ototoxicity:  0.48
Hematotoxicity:  0.762 Drug-induced Nephrotoxicity:  0.913
Genotoxicity:  0.821 RPMI-8226 Immunitoxicity:  0.173
A549 Cytotoxicity:  0.088 Hek293 Cytotoxicity:  0.231
BCF:   1.563
?
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
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.827
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   5.192
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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
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota n.a. aerial part n.a. PMID[21391659]
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota Aerial Parts n.a. n.a. PMID[30653318]
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6414 Eupatorium cannabinum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6414 Eupatorium cannabinum 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
NPT2 Others Unspecified n.a. Activity = 26.8 % PMID[30653318]
NPT2 Others Unspecified n.a. Activity = 49.5 % PMID[30653318]
NPT2 Others Unspecified n.a. Activity = 22.1 % PMID[30653318]
NPT2 Others Unspecified n.a. Activity = 1.7 % PMID[30653318]
NPT2 Others Unspecified n.a. IC50 = 100.0 nM PMID[30653318]

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 NPC488117 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
0.84 Intermediate Similarity NPC488116
0.7091 Intermediate Similarity NPC488120
0.5833 Remote Similarity NPC488118
0.5472 Remote Similarity NPC167881
0.5472 Remote Similarity NPC98557
0.5333 Remote Similarity NPC470755
0.5333 Remote Similarity NPC298801
0.5179 Remote Similarity NPC229825
0.5179 Remote Similarity NPC602858
0.5172 Remote Similarity NPC7563
0.5094 Remote Similarity NPC58956
0.5094 Remote Similarity NPC163003
0.5094 Remote Similarity NPC295633
0.5094 Remote Similarity NPC269206
0.5077 Remote Similarity NPC488119

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC488117 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