Natural Product: NPC158523

Natural Product IDNPC158523
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QSTFRCUXCBXJAW-CYZOKXGXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL528106
PubChem CID 107855
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
            • [CHEMONTID:0002906] Phorbol esters

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 QSTFRCUXCBXJAW-CYZOKXGXSA-N
Standard InCHI InChI=1S/C24H34O6/c1-12(2)20(27)30-23-9-14(4)24(29)16(18(23)21(23,5)6)8-15(11-25)10-22(28)17(24)7-13(3)19(22)26/h7-8,12,14,16-18,25,28-29H,9-11H2,1-6H3/t14-,16+,17-,18-,22-,23+,24-/m1/s1
SMILES OCC1=C[C@H]2[C@H]3[C@@](C3(C)C)(OC(=O)C(C)C)C[C@H]([C@@]2([C@H]2[C@@](C1)(O)C(=O)C(=C2)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   418.24 Volume:   431.63
?
Van der Waals volume.
Dense:   0.969 LogP:   1.596
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.876
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.02
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   20.0
TPSA:   104.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.479 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.033 Fsp3:   0.75
MCE-18:   81.714
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.09 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.022
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.299 Promiscuous compounds:   0.364

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.953 MDCK Permeability:   -4.816
Pgp-inhibitor:   0.029 Pgp-substrate:   0.245
PAMPA:   0.88
?
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):   0.092
20% Bioavailability (F20%):   0.93 30% Bioavailability (F30%):   0.993
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.995
Plasma Protein Binding (PPB):   72.215% Volume Distribution (VD):   0.158
Fu: 31.131%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.943
OATP1B3 inhibitor:   0.967 BCRP inhibitor:   0.002
BSEP inhibitor:   0.982

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.159
CYP2C19-inhibitor:   0.057 CYP2C19-substrate:   0.083
CYP2C9-inhibitor:   0.028 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.037
CYP3A4-inhibitor:   0.971 CYP3A4-substrate:   0.361
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.87
HLM stability:   0.201
?
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):  8.719 Half-life (T1/2):  1.299

ADMET: Toxicity

hERG Blockers:  0.053 hERG Blockers (10um):  0.203
Human Hepatotoxicity (H-HT):  0.65 Drug-induced Liver Injury (DILI):  0.535
AMES Toxicity:  0.6 Rat Oral Acute Toxicity:  0.301
Maximum Recommended Daily Dose:  0.3 Skin Sensitization:  0.959
Carcinogencity:  0.569 Eye Corrosion:  0.032
Eye Irritation:  0.818 Respiratory Toxicity:  0.718
Drug-induced Neurotoxicity:  0.344 Ototoxicity:  0.666
Hematotoxicity:  0.706 Drug-induced Nephrotoxicity:  0.721
Genotoxicity:  0.738 RPMI-8226 Immunitoxicity:  0.109
A549 Cytotoxicity:  0.244 Hek293 Cytotoxicity:  0.261
BCF:   0.603
?
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:   3.077
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.356
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.756
?
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
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO25960 Euphorbia triangularis Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO32447 euphorbia ledienii Species Euphorbiaceae Eukaryota latices South African n.a. PMID[3236005]
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25960 Euphorbia triangularis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO32447 euphorbia ledienii Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19062 Euphorbia coerulescens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25960 Euphorbia triangularis Species Euphorbiaceae 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
NPT32 Organism Mus musculus Mus musculus Activity = 0.53 nmol PMID[17665951]
NPT32 Organism Mus musculus Mus musculus Activity = 1.9 /nmol PMID[11754599]





 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 NPC158523 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
0.8929 High Similarity NPC475937
0.8889 High Similarity NPC153036
0.8276 Intermediate Similarity NPC71889
0.7869 Intermediate Similarity NPC485736
0.7869 Intermediate Similarity NPC277477
0.7869 Intermediate Similarity NPC479003
0.7869 Intermediate Similarity NPC485735
0.7619 Intermediate Similarity NPC482454
0.7541 Intermediate Similarity NPC174471
0.7273 Intermediate Similarity NPC485732
0.7 Intermediate Similarity NPC91189
0.6866 Remote Similarity NPC474872
0.6774 Remote Similarity NPC96739
0.6769 Remote Similarity NPC260786
0.6667 Remote Similarity NPC472760
0.6615 Remote Similarity NPC472397
0.6522 Remote Similarity NPC477091
0.6324 Remote Similarity NPC471125
0.6269 Remote Similarity NPC474871
0.6269 Remote Similarity NPC485733
0.6232 Remote Similarity NPC145182
0.6094 Remote Similarity NPC156252
0.6 Remote Similarity NPC17138
0.6 Remote Similarity NPC101825
0.6 Remote Similarity NPC170212
0.6 Remote Similarity NPC215643
0.6 Remote Similarity NPC265499
0.6 Remote Similarity NPC153651
0.5942 Remote Similarity NPC472758
0.5915 Remote Similarity NPC221511
0.5882 Remote Similarity NPC171905
0.5833 Remote Similarity NPC485731
0.5714 Remote Similarity NPC157252
0.5676 Remote Similarity NPC151216
0.5676 Remote Similarity NPC183540
0.5676 Remote Similarity NPC89227
0.5658 Remote Similarity NPC222307
0.5652 Remote Similarity NPC478681
0.5616 Remote Similarity NPC471128
0.5616 Remote Similarity NPC471126
0.56 Remote Similarity NPC479000
0.5584 Remote Similarity NPC159692
0.5556 Remote Similarity NPC275696
0.5556 Remote Similarity NPC255081
0.55 Remote Similarity NPC180640
0.5479 Remote Similarity NPC5991
0.5479 Remote Similarity NPC196500
0.5479 Remote Similarity NPC471108
0.5479 Remote Similarity NPC5989
0.5467 Remote Similarity NPC22628
0.5455 Remote Similarity NPC602538
0.5443 Remote Similarity NPC482199
0.5443 Remote Similarity NPC482197
0.5432 Remote Similarity NPC185876
0.5432 Remote Similarity NPC19336
0.541 Remote Similarity NPC453
0.5405 Remote Similarity NPC475391
0.5333 Remote Similarity NPC243902
0.5263 Remote Similarity NPC478999
0.5263 Remote Similarity NPC600005
0.5224 Remote Similarity NPC478680
0.5195 Remote Similarity NPC484333
0.5128 Remote Similarity NPC145238
0.5065 Remote Similarity NPC474937

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC158523 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