Natural Product: NPC34193

Natural Product IDNPC34193
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ACOQUBGHQYPJFN-NZZVAQPWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3109401
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001534] Quinone and hydroquinone lipids
          • [CHEMONTID:0002802] Prenylquinones

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 ACOQUBGHQYPJFN-NZZVAQPWSA-N
Standard InCHI InChI=1S/C26H39NO3/c1-16(2)11-13-27-20-14-21(28)24(30)19(23(20)29)15-26(6)18(4)10-12-25(5)17(3)8-7-9-22(25)26/h8,14,16,18,22,27,30H,7,9-13,15H2,1-6H3/t18-,22+,25-,26+/m0/s1
SMILES CC(CCNC1=CC(=O)C(=C(C1=O)C[C@]1(C)[C@@H](C)CC[C@@]2([C@H]1CCC=C2C)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   413.29 Volume:   456.768
?
Van der Waals volume.
Dense:   0.905 LogP:   4.839
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.184
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.172
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   19.0
TPSA:   66.4
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.436 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.431 Fsp3:   0.692
MCE-18:   56.727
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   1
Colloidal aggregators:   0.903 Fluc inhibitor:   0.575
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.277
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.217
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.013 Promiscuous compounds:   0.129

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.879 MDCK Permeability:   -4.678
Pgp-inhibitor:   0.435 Pgp-substrate:   0.004
PAMPA:   0.708
?
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):   0.003
20% Bioavailability (F20%):   0.136 30% Bioavailability (F30%):   0.579
50% Bioavailability (F50%):   0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.614
Plasma Protein Binding (PPB):   95.739% Volume Distribution (VD):   0.1
Fu: 3.385%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.991
OATP1B3 inhibitor:   0.969 BCRP inhibitor:   0.065
BSEP inhibitor:   0.976

ADMET: Metabolism

CYP1A2-inhibitor:   0.946 CYP1A2-substrate:   0.894
CYP2C19-inhibitor:   0.099 CYP2C19-substrate:   0.096
CYP2C9-inhibitor:   0.032 CYP2C9-substrate:   0.778
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.061
CYP3A4-inhibitor:   0.009 CYP3A4-substrate:   0.127
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.6
?
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):  5.483 Half-life (T1/2):  0.666

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.077
Human Hepatotoxicity (H-HT):  0.623 Drug-induced Liver Injury (DILI):  0.526
AMES Toxicity:  0.377 Rat Oral Acute Toxicity:  0.15
Maximum Recommended Daily Dose:  0.245 Skin Sensitization:  0.96
Carcinogencity:  0.842 Eye Corrosion:  0.021
Eye Irritation:  0.938 Respiratory Toxicity:  0.57
Drug-induced Neurotoxicity:  0.058 Ototoxicity:  0.264
Hematotoxicity:  0.634 Drug-induced Nephrotoxicity:  0.761
Genotoxicity:  0.46 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.193 Hek293 Cytotoxicity:  0.2
BCF:   2.436
?
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:   5.179
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.789
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.638
?
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
NPO13603 Dactylospongia metachromia Species Thorectidae Eukaryota n.a. n.a. n.a. PMID[24479418]
NPO13603 Dactylospongia metachromia Species Thorectidae Eukaryota n.a. n.a. n.a. PMID[33387695]
NPO13603 Dactylospongia metachromia Species Thorectidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13603 Dactylospongia metachromia Species Thorectidae 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
NPT1478 Individual protein Vascular endothelial growth factor receptor 2 Homo sapiens IC50 = 2220.0 nM PMID[23398362]
NPT1656 Individual protein Protein kinase N1 Homo sapiens IC50 > 100000.0 nM PMID[19487444]
NPT1265 Individual protein Serine/threonine-protein kinase PIM1 Homo sapiens IC50 = 62600.0 nM PMID[19487444]
NPT1657 Individual protein Serine/threonine-protein kinase NEK6 Homo sapiens IC50 = 90800.0 nM PMID[15658855]
NPT1658 Individual protein Serine/threonine-protein kinase NEK2 Homo sapiens IC50 = 29900.0 nM PMID[15943486]
NPT1337 Individual protein Hepatocyte growth factor receptor Homo sapiens IC50 = 40300.0 nM PMID[15943486]
NPT1438 Individual protein Insulin-like growth factor I receptor Homo sapiens IC50 = 1940.0 nM PMID[19307369]
NPT1436 Individual protein Focal adhesion kinase 1 Homo sapiens IC50 = 3030.0 nM PMID[19307369]
NPT1659 Individual protein Tyrosine-protein kinase receptor UFO Homo sapiens IC50 > 100000.0 nM PMID[19307369]
NPT1433 Individual protein Serine/threonine-protein kinase Aurora-B Homo sapiens IC50 = 61000.0 nM PMID[10843574]
NPT1660 Individual protein NUAK family SNF1-like kinase 1 Homo sapiens IC50 > 100000.0 nM PMID[17067151]
NPT1661 Individual protein ALK tyrosine kinase receptor Homo sapiens IC50 = 970.0 nM PMID[17067151]
NPT36 Individual protein Tyrosine-protein kinase SRC Homo sapiens IC50 = 2200.0 nM PMID[23398362]
NPT831 Individual protein Serine/threonine-protein kinase PLK1 Homo sapiens IC50 = 100000.0 nM PMID[20585133]
NPT491 Individual protein Dual specificity mitogen-activated protein kinase kinase 1 Homo sapiens IC50 > 100000.0 nM PMID[15943486]
NPT728 Individual protein Serine/threonine-protein kinase AKT Homo sapiens IC50 = 73200.0 nM PMID[20521771]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1864 Cell line L5178Y Mus musculus IC50 = 1300.0 nM PMID[22642560]

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 NPC34193 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 NPC218631
0.8596 High Similarity NPC604451
0.8475 Intermediate Similarity NPC489062
0.8305 Intermediate Similarity NPC606042
0.7937 Intermediate Similarity NPC72688
0.7353 Intermediate Similarity NPC49417
0.7353 Intermediate Similarity NPC119326
0.7288 Intermediate Similarity NPC489061
0.7246 Intermediate Similarity NPC603298
0.6944 Remote Similarity NPC2672
0.6866 Remote Similarity NPC611550
0.6533 Remote Similarity NPC603297
0.6364 Remote Similarity NPC36626
0.6364 Remote Similarity NPC602082
0.6333 Remote Similarity NPC55869
0.6176 Remote Similarity NPC602428
0.6176 Remote Similarity NPC607102
0.6111 Remote Similarity NPC606951
0.6098 Remote Similarity NPC47190
0.5909 Remote Similarity NPC481276
0.5909 Remote Similarity NPC481275
0.5909 Remote Similarity NPC601986
0.5758 Remote Similarity NPC263997
0.5758 Remote Similarity NPC8518
0.5676 Remote Similarity NPC24596
0.5588 Remote Similarity NPC489707
0.5584 Remote Similarity NPC149822
0.5584 Remote Similarity NPC608629
0.5479 Remote Similarity NPC185929
0.5373 Remote Similarity NPC99308
0.5333 Remote Similarity NPC605940
0.5312 Remote Similarity NPC302761
0.5294 Remote Similarity NPC260139
0.5294 Remote Similarity NPC10001
0.5231 Remote Similarity NPC108955
0.5075 Remote Similarity NPC602754
0.5056 Remote Similarity NPC601854

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC34193 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