Natural Product: NPC141191

Natural Product IDNPC141191
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Helenalin-[(2-Hydroxyethyl-3-Methyl)Acrylate]
IUPAC Name [(3aR,5R,5aR,8aR,9S,9aR)-5,8a-dimethyl-1-methylidene-2,8-dioxo-3a,4,5,5a,9,9a-hexahydroazuleno[6,5-b]furan-9-yl] (Z)-2-(hydroxymethyl)but-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL517775
PubChem CID 11302856
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

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 KIURVBZLCHKNCM-FHUYBAJXSA-N
Standard InCHI InChI=1S/C20H24O6/c1-5-12(9-21)19(24)26-17-16-11(3)18(23)25-14(16)8-10(2)13-6-7-15(22)20(13,17)4/h5-7,10,13-14,16-17,21H,3,8-9H2,1-2,4H3/b12-5-/t10-,13+,14-,16-,17+,20+/m1/s1
SMILES C/C=C(/CO)C(=O)O[C@H]1[C@@H]2C(=C)C(=O)O[C@@H]2C[C@@H](C)[C@@H]2C=CC(=O)[C@@]12C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   360.16 Volume:   365.729
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Van der Waals volume.
Dense:   0.985 LogP:   1.126
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.492
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.918
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   20.0
TPSA:   89.9
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.609 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.003 Fsp3:   0.55
MCE-18:   53.935
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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:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.44 Fluc inhibitor:   0.09
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.022
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.013
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.402 Promiscuous compounds:   0.42

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.015 MDCK Permeability:   -4.645
Pgp-inhibitor:   0.349 Pgp-substrate:   0.017
PAMPA:   0.791
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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):   0.023
20% Bioavailability (F20%):   0.321 30% Bioavailability (F30%):   0.813
50% Bioavailability (F50%):   0.94

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.901
Plasma Protein Binding (PPB):   86.757% Volume Distribution (VD):   0.066
Fu: 14.971%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.22 CYP3A4-substrate:   0.872
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.991
HLM stability:   0.069
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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):  6.788 Half-life (T1/2):  0.867

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.097
Human Hepatotoxicity (H-HT):  0.81 Drug-induced Liver Injury (DILI):  0.925
AMES Toxicity:  0.908 Rat Oral Acute Toxicity:  0.396
Maximum Recommended Daily Dose:  0.654 Skin Sensitization:  0.999
Carcinogencity:  0.957 Eye Corrosion:  0.323
Eye Irritation:  0.928 Respiratory Toxicity:  0.556
Drug-induced Neurotoxicity:  0.421 Ototoxicity:  0.405
Hematotoxicity:  0.841 Drug-induced Nephrotoxicity:  0.944
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.19
A549 Cytotoxicity:  0.258 Hek293 Cytotoxicity:  0.307
BCF:   0.592
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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:   3.229
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.841
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.283
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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
NPO24121 Vernoniopsis caudata n.a. n.a. n.a. n.a. n.a. n.a. PMID[15921436]
NPO24121 Vernoniopsis caudata n.a. n.a. n.a. 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
NPT91 Cell line KB Homo sapiens IC50 = 930.0 nM PMID[21044847]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 190.0 nM PMID[24972328]

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 NPC141191 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
0.8542 High Similarity NPC607377
0.8235 Intermediate Similarity NPC169205
0.8125 Intermediate Similarity NPC123177
0.8125 Intermediate Similarity NPC70595
0.8125 Intermediate Similarity NPC150978
0.78 Intermediate Similarity NPC74103
0.78 Intermediate Similarity NPC604741
0.75 Intermediate Similarity NPC610944
0.6111 Remote Similarity NPC90121
0.6071 Remote Similarity NPC284185
0.6071 Remote Similarity NPC610110
0.5932 Remote Similarity NPC185553
0.5893 Remote Similarity NPC253144
0.5862 Remote Similarity NPC171759
0.5849 Remote Similarity NPC21471
0.5849 Remote Similarity NPC33570
0.569 Remote Similarity NPC203659
0.5536 Remote Similarity NPC193645
0.5536 Remote Similarity NPC48803
0.5536 Remote Similarity NPC275960
0.5455 Remote Similarity NPC161957
0.5439 Remote Similarity NPC54843
0.5424 Remote Similarity NPC604654
0.5263 Remote Similarity NPC289004
0.5179 Remote Similarity NPC70555
0.5179 Remote Similarity NPC104961
0.5172 Remote Similarity NPC70422
0.5167 Remote Similarity NPC18019

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC141191 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
0.5536 Remote Similarity NPD1698 Clinical (unspecified phase)

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