Natural Product: NPC189393

Natural Product IDNPC189393
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VCEYVQJHAJGATA-ZPRGDDEXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL525601
PubChem CID 11526431
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 VCEYVQJHAJGATA-ZPRGDDEXSA-N
Standard InCHI InChI=1S/C29H43NO7/c1-14(2)22(30(8)9)26(34)36-25-16(4)28(35)20-10-15(3)23(33)19(20)11-18(13-31)12-21(28)24-27(6,7)29(24,25)37-17(5)32/h10,12,14,16,19-22,24-25,31,35H,11,13H2,1-9H3/t16-,19-,20-,21+,22+,24-,25-,28+,29-/m1/s1
SMILES OCC1=C[C@H]2[C@@H]3C([C@]3(OC(=O)C)[C@@H]([C@H]([C@@]2([C@H]2[C@@H](C1)C(=O)C(=C2)C)O)C)OC(=O)[C@@H](N(C)C)C(C)C)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   517.3 Volume:   535.26
?
Van der Waals volume.
Dense:   0.966 LogP:   1.241
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.211
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.297
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   21.0
TPSA:   113.37
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.408 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.366 Fsp3:   0.759
MCE-18:   83.725
?
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:   0.341 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
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:   0.022 Promiscuous compounds:   0.533

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.451 MDCK Permeability:   -5.143
Pgp-inhibitor:   0.874 Pgp-substrate:   0.207
PAMPA:   0.418
?
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):   0.105
20% Bioavailability (F20%):   0.977 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.01 MRP1:   0.907
Plasma Protein Binding (PPB):   53.919% Volume Distribution (VD):   -0.284
Fu: 44.285%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.889 BCRP inhibitor:   0.0
BSEP inhibitor:   0.858

ADMET: Metabolism

CYP1A2-inhibitor:   0.043 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.943 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.019 CYP3A4-substrate:   0.015
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.01
HLM stability:   0.502
?
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):  7.956 Half-life (T1/2):  0.905

ADMET: Toxicity

hERG Blockers:  0.087 hERG Blockers (10um):  0.177
Human Hepatotoxicity (H-HT):  0.799 Drug-induced Liver Injury (DILI):  0.79
AMES Toxicity:  0.531 Rat Oral Acute Toxicity:  0.195
Maximum Recommended Daily Dose:  0.163 Skin Sensitization:  0.985
Carcinogencity:  0.613 Eye Corrosion:  0.008
Eye Irritation:  0.408 Respiratory Toxicity:  0.452
Drug-induced Neurotoxicity:  0.424 Ototoxicity:  0.723
Hematotoxicity:  0.863 Drug-induced Nephrotoxicity:  0.836
Genotoxicity:  0.83 RPMI-8226 Immunitoxicity:  0.161
A549 Cytotoxicity:  0.112 Hek293 Cytotoxicity:  0.232
BCF:   0.835
?
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:   3.522
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.193
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.553
?
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
NPO9267 Croton ciliatoglandulifer Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[16792405]
NPO9267 Croton ciliatoglandulifer Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9267 Croton ciliatoglandulifer 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
NPT324 Individual protein Cyclooxygenase-1 Ovis aries IC50 > 100000.0 nM PMID[19606850]
NPT31 Individual protein Cyclooxygenase-2 Homo sapiens IC50 > 100000.0 nM PMID[25990761]

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





 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 NPC189393 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
1.0 High Similarity NPC90814
0.7826 Intermediate Similarity NPC476111
0.75 Intermediate Similarity NPC154363
0.7463 Intermediate Similarity NPC482406
0.7246 Intermediate Similarity NPC472757
0.7183 Intermediate Similarity NPC485737
0.7 Intermediate Similarity NPC481522
0.6986 Remote Similarity NPC608501
0.6901 Remote Similarity NPC481520
0.6892 Remote Similarity NPC243902
0.6806 Remote Similarity NPC234858
0.6806 Remote Similarity NPC179207
0.68 Remote Similarity NPC236918
0.68 Remote Similarity NPC156745
0.6622 Remote Similarity NPC471127
0.6622 Remote Similarity NPC481525
0.6622 Remote Similarity NPC481531
0.641 Remote Similarity NPC472759
0.6364 Remote Similarity NPC10721
0.6203 Remote Similarity NPC482221
0.6125 Remote Similarity NPC482220
0.6053 Remote Similarity NPC485734
0.6049 Remote Similarity NPC482222
0.5976 Remote Similarity NPC482219
0.5833 Remote Similarity NPC140021
0.5732 Remote Similarity NPC481523
0.5714 Remote Similarity NPC482405
0.5698 Remote Similarity NPC112752
0.5698 Remote Similarity NPC311054
0.5663 Remote Similarity NPC329080
0.5595 Remote Similarity NPC611138
0.557 Remote Similarity NPC481528
0.5395 Remote Similarity NPC600179
0.5395 Remote Similarity NPC602150
0.52 Remote Similarity NPC481521
0.5065 Remote Similarity NPC481526
0.5065 Remote Similarity NPC481530
0.5065 Remote Similarity NPC472400

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC189393 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