Natural Product: NPC482219

Natural Product IDNPC482219
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MXLZHQOOQIUQGO-FGQBBZSKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 134751194
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0002875] Tigliane and ingenane diterpenoids

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 MXLZHQOOQIUQGO-FGQBBZSKSA-N
Standard InCHI InChI=1S/C34H48O7/c1-8-9-10-11-12-13-14-15-27(36)40-30-22(5)33(39)25-16-21(4)28(37)24(25)17-23(19-35)18-26(33)29-32(6,7)34(29,30)41-31(38)20(2)3/h12-16,18,20,22,24-26,29-30,35,39H,8-11,17,19H2,1-7H3/b13-12+,15-14-/t22-,24+,25-,26+,29-,30-,33+,34-/m1/s1
SMILES CCCCC/C=C/C=CC(=O)O[C@@H]1[C@@H](C)[C@@]2([C@@H]3C=C(C)C(=O)[C@H]3CC(=C[C@H]2[C@@H]2C(C)(C)[C@]12OC(=O)C(C)C)CO)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   568.34 Volume:   605.47
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Van der Waals volume.
Dense:   0.939 LogP:   4.643
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.092
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.327
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   23.0
TPSA:   110.13
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.122 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.306 Fsp3:   0.676
MCE-18:   77.579
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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:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.751 Fluc inhibitor:   0.064
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.048
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.281 Promiscuous compounds:   0.268

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.109 MDCK Permeability:   -4.938
Pgp-inhibitor:   0.925 Pgp-substrate:   0.242
PAMPA:   0.45
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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):   0.04
20% Bioavailability (F20%):   0.982 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.871
Plasma Protein Binding (PPB):   94.499% Volume Distribution (VD):   -0.091
Fu: 4.934%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.908
OATP1B3 inhibitor:   0.79 BCRP inhibitor:   0.001
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.578
CYP2C19-inhibitor:   0.015 CYP2C19-substrate:   0.004
CYP2C9-inhibitor:   0.079 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.876
CYP3A4-inhibitor:   0.085 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.906
?
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):  7.459 Half-life (T1/2):  0.678

ADMET: Toxicity

hERG Blockers:  0.263 hERG Blockers (10um):  0.513
Human Hepatotoxicity (H-HT):  0.769 Drug-induced Liver Injury (DILI):  0.398
AMES Toxicity:  0.775 Rat Oral Acute Toxicity:  0.167
Maximum Recommended Daily Dose:  0.672 Skin Sensitization:  0.999
Carcinogencity:  0.419 Eye Corrosion:  0.005
Eye Irritation:  0.293 Respiratory Toxicity:  0.78
Drug-induced Neurotoxicity:  0.264 Ototoxicity:  0.655
Hematotoxicity:  0.329 Drug-induced Nephrotoxicity:  0.859
Genotoxicity:  0.022 RPMI-8226 Immunitoxicity:  0.197
A549 Cytotoxicity:  0.694 Hek293 Cytotoxicity:  0.785
BCF:   1.348
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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:   4.379
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.973
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.448
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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
NPO4 Euphorbia dendroides Species Euphorbiaceae Eukaryota n.a. aerial part n.a. PMID[21707046]
NPO4 Euphorbia dendroides Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[29498278]
NPO4 Euphorbia dendroides Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT20632 Organism Chikungunya virus Chikungunya virus EC50 = 900.0 nM PMID[29498278]

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 NPC482219 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
0.9286 High Similarity NPC482221
0.9155 High Similarity NPC482220
0.8472 Intermediate Similarity NPC236918
0.8472 Intermediate Similarity NPC156745
0.8267 Intermediate Similarity NPC482222
0.7945 Intermediate Similarity NPC608501
0.7763 Intermediate Similarity NPC472759
0.7465 Intermediate Similarity NPC482406
0.7162 Intermediate Similarity NPC481520
0.716 Intermediate Similarity NPC482199
0.716 Intermediate Similarity NPC482197
0.7125 Intermediate Similarity NPC329080
0.7067 Intermediate Similarity NPC234858
0.7067 Intermediate Similarity NPC179207
0.68 Remote Similarity NPC472757
0.68 Remote Similarity NPC481522
0.6753 Remote Similarity NPC485737
0.6588 Remote Similarity NPC482198
0.6456 Remote Similarity NPC471127
0.6456 Remote Similarity NPC481525
0.6456 Remote Similarity NPC481531
0.6429 Remote Similarity NPC482200
0.642 Remote Similarity NPC10721
0.6364 Remote Similarity NPC154363
0.625 Remote Similarity NPC476111
0.6125 Remote Similarity NPC475885
0.5976 Remote Similarity NPC90814
0.5976 Remote Similarity NPC189393
0.5882 Remote Similarity NPC145238
0.5802 Remote Similarity NPC482405
0.5765 Remote Similarity NPC484333
0.5632 Remote Similarity NPC481523
0.5542 Remote Similarity NPC485734
0.5385 Remote Similarity NPC140021
0.5333 Remote Similarity NPC611138
0.5294 Remote Similarity NPC481528
0.5269 Remote Similarity NPC479001
0.5269 Remote Similarity NPC479002
0.5125 Remote Similarity NPC481521
0.5114 Remote Similarity NPC478999
0.506 Remote Similarity NPC472397

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC482219 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