Natural Product: NPC183540

Natural Product IDNPC183540
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IZHBNHCRPMQEPI-ZEUFARPOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL516716
PubChem CID 24812993
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 IZHBNHCRPMQEPI-ZEUFARPOSA-N
Standard InCHI InChI=1S/C29H34O7/c1-16-11-22-27(33,24(16)31)14-19(15-35-25(32)20-9-7-6-8-10-20)12-21-23-26(4,5)28(23,36-18(3)30)13-17(2)29(21,22)34/h6-12,17,21-23,33-34H,13-15H2,1-5H3/t17-,21+,22-,23-,27-,28+,29-/m1/s1
SMILES CC1=C[C@@H]2[C@](CC(=C[C@H]3[C@@H]4C(C)(C)[C@@]4(C[C@@H](C)[C@]23O)OC(=O)C)COC(=O)c2ccccc2)(C1=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   494.23 Volume:   507.798
?
Van der Waals volume.
Dense:   0.973 LogP:   2.868
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.078
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.16
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   27.0
TPSA:   110.13
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.488 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.706 Fsp3:   0.552
MCE-18:   127.444
?
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:   0.207 Fluc inhibitor:   0.029
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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
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.131 Promiscuous compounds:   0.12

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.0 MDCK Permeability:   -4.561
Pgp-inhibitor:   0.801 Pgp-substrate:   0.328
PAMPA:   0.568
?
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):   0.001
20% Bioavailability (F20%):   0.336 30% Bioavailability (F30%):   0.627
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.07 MRP1:   0.995
Plasma Protein Binding (PPB):   76.325% Volume Distribution (VD):   0.036
Fu: 21.93%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.012
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.506
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.239
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.143
CYP3A4-inhibitor:   0.007 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.996
?
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):  5.697 Half-life (T1/2):  0.728

ADMET: Toxicity

hERG Blockers:  0.118 hERG Blockers (10um):  0.439
Human Hepatotoxicity (H-HT):  0.149 Drug-induced Liver Injury (DILI):  0.5
AMES Toxicity:  0.189 Rat Oral Acute Toxicity:  0.173
Maximum Recommended Daily Dose:  0.61 Skin Sensitization:  0.953
Carcinogencity:  0.645 Eye Corrosion:  0.0
Eye Irritation:  0.464 Respiratory Toxicity:  0.26
Drug-induced Neurotoxicity:  0.14 Ototoxicity:  0.272
Hematotoxicity:  0.132 Drug-induced Nephrotoxicity:  0.327
Genotoxicity:  0.66 RPMI-8226 Immunitoxicity:  0.081
A549 Cytotoxicity:  0.126 Hek293 Cytotoxicity:  0.395
BCF:   1.024
?
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:   3.816
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.505
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.964
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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
NPO422 Euphorbia cornigera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[17512094]
NPO422 Euphorbia cornigera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[19376614]
NPO422 Euphorbia cornigera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO422 Euphorbia cornigera 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
NPT91 Cell line KB Homo sapiens IC50 = 8.2 ug.mL-1 DOI[10.1016/j.cropro.2006.02.001]

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 NPC183540 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
0.8333 Intermediate Similarity NPC159692
0.7313 Intermediate Similarity NPC96739
0.7237 Intermediate Similarity NPC602538
0.6806 Remote Similarity NPC260786
0.6761 Remote Similarity NPC174471
0.6757 Remote Similarity NPC170212
0.6575 Remote Similarity NPC474871
0.6329 Remote Similarity NPC479000
0.6316 Remote Similarity NPC17138
0.6316 Remote Similarity NPC101825
0.6316 Remote Similarity NPC215643
0.6316 Remote Similarity NPC265499
0.6286 Remote Similarity NPC153036
0.6286 Remote Similarity NPC91189
0.6234 Remote Similarity NPC221511
0.6087 Remote Similarity NPC102367
0.6 Remote Similarity NPC151216
0.6 Remote Similarity NPC89227
0.5976 Remote Similarity NPC222307
0.5914 Remote Similarity NPC478683
0.5851 Remote Similarity NPC478682
0.5733 Remote Similarity NPC475937
0.5676 Remote Similarity NPC158523
0.5526 Remote Similarity NPC71889
0.5513 Remote Similarity NPC485736
0.5513 Remote Similarity NPC277477
0.5513 Remote Similarity NPC479003
0.5513 Remote Similarity NPC485735
0.5513 Remote Similarity NPC485733
0.5422 Remote Similarity NPC474937
0.5366 Remote Similarity NPC475391
0.519 Remote Similarity NPC478681
0.5185 Remote Similarity NPC482454
0.5181 Remote Similarity NPC485731
0.5181 Remote Similarity NPC485732
0.5181 Remote Similarity NPC482317
0.5114 Remote Similarity NPC472398
0.5114 Remote Similarity NPC600915

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC183540 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