Natural Product: NPC138303

Natural Product IDNPC138303
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GKQDCRVVJYVECB-LKUYUNCQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL443672
PubChem CID 21588199
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 GKQDCRVVJYVECB-LKUYUNCQSA-N
Standard InCHI InChI=1S/C32H44O7/c1-7-8-9-10-11-12-13-14-25(35)39-28-19(2)17-31-20(3)15-24-26(30(24,5)6)23(27(31)36)16-22(18-33)29(32(28,31)37)38-21(4)34/h11-14,16-17,20,23-24,26,28-29,33,37H,7-10,15,18H2,1-6H3/b12-11-,14-13+/t20-,23+,24-,26+,28+,29-,31+,32-/m1/s1
SMILES CCCCC/C=CC=CC(=O)O[C@H]1C(=C[C@]23[C@]1(O)[C@H](OC(=O)C)C(=C[C@H](C3=O)[C@H]1[C@@H](C[C@H]2C)C1(C)C)CO)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   540.31 Volume:   570.879
?
Van der Waals volume.
Dense:   0.946 LogP:   4.631
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.048
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.21
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   23.0
TPSA:   110.13
?
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:   0.144 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.302 Fsp3:   0.656
MCE-18:   108.075
?
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:   0.551 Fluc inhibitor:   0.042
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.072
?
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:   0.29 Promiscuous compounds:   0.432

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.27 MDCK Permeability:   -4.908
Pgp-inhibitor:   0.855 Pgp-substrate:   0.339
PAMPA:   0.016
?
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):   0.022
20% Bioavailability (F20%):   0.523 30% Bioavailability (F30%):   0.988
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.021 MRP1:   0.717
Plasma Protein Binding (PPB):   93.859% Volume Distribution (VD):   0.113
Fu: 5.263%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.927
OATP1B3 inhibitor:   0.887 BCRP inhibitor:   0.018
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.997
CYP2C19-inhibitor:   0.234 CYP2C19-substrate:   0.273
CYP2C9-inhibitor:   0.782 CYP2C9-substrate:   0.027
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.303
CYP3A4-inhibitor:   0.003 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.988
?
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):  7.108 Half-life (T1/2):  0.843

ADMET: Toxicity

hERG Blockers:  0.121 hERG Blockers (10um):  0.367
Human Hepatotoxicity (H-HT):  0.733 Drug-induced Liver Injury (DILI):  0.185
AMES Toxicity:  0.576 Rat Oral Acute Toxicity:  0.238
Maximum Recommended Daily Dose:  0.533 Skin Sensitization:  1.0
Carcinogencity:  0.415 Eye Corrosion:  0.025
Eye Irritation:  0.652 Respiratory Toxicity:  0.418
Drug-induced Neurotoxicity:  0.039 Ototoxicity:  0.662
Hematotoxicity:  0.226 Drug-induced Nephrotoxicity:  0.833
Genotoxicity:  0.033 RPMI-8226 Immunitoxicity:  0.109
A549 Cytotoxicity:  0.671 Hek293 Cytotoxicity:  0.697
BCF:   1.78
?
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:   4.916
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.673
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.185
?
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
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota roots n.a. n.a. PMID[12350140]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota Roots n.a. n.a. PMID[12762796]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[15387657]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. root n.a. PMID[1955882]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14260 Euphorbia kansui Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14260 Euphorbia kansui 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
NPT2 Others Unspecified n.a. Activity > 75.0 % DrugMatrix in vivo data: Pathology

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 NPC138303 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
0.7222 Intermediate Similarity NPC46269
0.7222 Intermediate Similarity NPC106395
0.7222 Intermediate Similarity NPC138757
0.6944 Remote Similarity NPC47951
0.6711 Remote Similarity NPC67290
0.6711 Remote Similarity NPC133677
0.6364 Remote Similarity NPC482242
0.6364 Remote Similarity NPC482243
0.6 Remote Similarity NPC75898
0.6 Remote Similarity NPC221349
0.5844 Remote Similarity NPC482240
0.5844 Remote Similarity NPC482239
0.5467 Remote Similarity NPC607683
0.5395 Remote Similarity NPC267734
0.5395 Remote Similarity NPC308191
0.5395 Remote Similarity NPC38423
0.5395 Remote Similarity NPC482241
0.5375 Remote Similarity NPC123855
0.5375 Remote Similarity NPC76550

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC138303 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