Natural Product: NPC19336

Natural Product IDNPC19336
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Sapinsignoid A
IUPAC Name n.a.
Synonyms Sapinsignoid A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2042140
PubChem CID 57408526
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 YTMXKWFNNGHMHW-RMRDEULQSA-N
Standard InCHI InChI=1S/C36H52O9/c1-6-7-8-9-10-11-14-27(39)15-12-13-16-30(40)45-35-19-24(3)36(43)28(31(35)33(35,5)22-44-25(4)38)18-26(21-37)20-34(42)29(36)17-23(2)32(34)41/h12-13,15-18,24,27-29,31,37,39,42-43H,6-11,14,19-22H2,1-5H3/b15-12+,16-13+/t24-,27-,28+,29-,31-,33-,34-,35+,36-/m1/s1
SMILES CCCCCCCC[C@H](/C=C/C=C/C(=O)O[C@@]12C[C@@H](C)[C@]3([C@H]([C@@H]1[C@@]2(C)COC(=O)C)C=C(CO)C[C@]1([C@H]3C=C(C1=O)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   628.36 Volume:   657.643
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Van der Waals volume.
Dense:   0.955 LogP:   3.422
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.272
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.793
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The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   23.0
TPSA:   150.59
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.073 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.444 Fsp3:   0.694
MCE-18:   79.148
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.579 Fluc inhibitor:   0.008
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.023
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.007
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.2 Promiscuous compounds:   0.598

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.081 MDCK Permeability:   -4.693
Pgp-inhibitor:   0.002 Pgp-substrate:   0.983
PAMPA:   0.989
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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):   0.295
20% Bioavailability (F20%):   0.996 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.556
Plasma Protein Binding (PPB):   90.294% Volume Distribution (VD):   0.126
Fu: 8.453%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.017
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.035
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.142
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.964
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.841
?
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):  3.119 Half-life (T1/2):  1.186

ADMET: Toxicity

hERG Blockers:  0.139 hERG Blockers (10um):  0.407
Human Hepatotoxicity (H-HT):  0.682 Drug-induced Liver Injury (DILI):  0.289
AMES Toxicity:  0.441 Rat Oral Acute Toxicity:  0.279
Maximum Recommended Daily Dose:  0.591 Skin Sensitization:  0.989
Carcinogencity:  0.536 Eye Corrosion:  0.029
Eye Irritation:  0.586 Respiratory Toxicity:  0.849
Drug-induced Neurotoxicity:  0.105 Ototoxicity:  0.611
Hematotoxicity:  0.624 Drug-induced Nephrotoxicity:  0.603
Genotoxicity:  0.029 RPMI-8226 Immunitoxicity:  0.091
A549 Cytotoxicity:  0.445 Hek293 Cytotoxicity:  0.202
BCF:   0.837
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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:   4.062
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.041
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.053
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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
NPO158 Sapium insigne Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[22409148]
NPO158 Sapium insigne Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO158 Sapium insigne 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
NPT81 Cell line A549 Homo sapiens IC50 = 1800.0 nM PMID[12828466]
NPT116 Cell line HL-60 Homo sapiens IC50 = 3400.0 nM Open TG-GATES in vivo data: Biochemistry

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 NPC19336 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 NPC185876
0.7901 Intermediate Similarity NPC180640
0.7195 Intermediate Similarity NPC153651
0.6395 Remote Similarity NPC472760
0.6145 Remote Similarity NPC474872
0.587 Remote Similarity NPC479001
0.587 Remote Similarity NPC479002
0.5854 Remote Similarity NPC485736
0.5854 Remote Similarity NPC277477
0.5854 Remote Similarity NPC479003
0.5854 Remote Similarity NPC485735
0.5769 Remote Similarity NPC153036
0.5714 Remote Similarity NPC482454
0.5698 Remote Similarity NPC485732
0.5432 Remote Similarity NPC158523
0.5341 Remote Similarity NPC477091
0.5301 Remote Similarity NPC71889
0.5301 Remote Similarity NPC475937
0.5169 Remote Similarity NPC475391
0.5165 Remote Similarity NPC484333
0.5114 Remote Similarity NPC170212
0.5109 Remote Similarity NPC145238
0.5055 Remote Similarity NPC474937
0.5053 Remote Similarity NPC482199
0.5053 Remote Similarity NPC482197

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC19336 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