Natural Product: NPC474190

Natural Product IDNPC474190
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
22Alpha-O-[(2Z)-3,7-Dimethyl-2,6-Octadienoyl]-A1-Barrigenol
IUPAC Name [(4S,4aR,5S,6R,6aR,6aS,6bR,8aR,10S,12aR,14bS)-5,6,10-trihydroxy-4a-(hydroxymethyl)-2,2,6a,6b,9,9,12a-heptamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicen-4-yl] (2Z)-3,7-dimethylocta-2,6-dienoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL463314
PubChem CID 16099393
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 ISINYLBZOHDJCP-XYPKRXJPSA-N
Standard InCHI InChI=1S/C40H64O6/c1-24(2)12-11-13-25(3)20-32(43)46-31-22-35(4,5)21-27-26-14-15-29-37(8)18-17-30(42)36(6,7)28(37)16-19-38(29,9)39(26,10)33(44)34(45)40(27,31)23-41/h12,14,20,27-31,33-34,41-42,44-45H,11,13,15-19,21-23H2,1-10H3/b25-20-/t27-,28-,29+,30-,31-,33-,34+,37-,38+,39-,40+/m0/s1
SMILES CC(=CCCC(=CC(=O)OC1CC(CC2C1(C(C(C3(C2=CCC4C3(CCC5C4(CCC(C5(C)C)O)C)C)C)O)O)CO)(C)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   640.47 Volume:   699.809
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Van der Waals volume.
Dense:   0.915 LogP:   6.142
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.08
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.916
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   29.0
TPSA:   107.22
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.138 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.471 Fsp3:   0.825
MCE-18:   112.11
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.497 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.049
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.198 Promiscuous compounds:   0.007

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.461 MDCK Permeability:   -5.061
Pgp-inhibitor:   0.001 Pgp-substrate:   0.685
PAMPA:   0.942
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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):   0.116
20% Bioavailability (F20%):   0.228 30% Bioavailability (F30%):   0.46
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.802 MRP1:   0.997
Plasma Protein Binding (PPB):   83.74% Volume Distribution (VD):   -0.273
Fu: 8.994%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.14
OATP1B3 inhibitor:   0.972 BCRP inhibitor:   0.002
BSEP inhibitor:   0.494

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.404 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.769 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.007 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.248
HLM stability:   0.971
?
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):  6.482 Half-life (T1/2):  1.469

ADMET: Toxicity

hERG Blockers:  0.09 hERG Blockers (10um):  0.587
Human Hepatotoxicity (H-HT):  0.292 Drug-induced Liver Injury (DILI):  0.026
AMES Toxicity:  0.056 Rat Oral Acute Toxicity:  0.086
Maximum Recommended Daily Dose:  0.709 Skin Sensitization:  0.662
Carcinogencity:  0.206 Eye Corrosion:  0.0
Eye Irritation:  0.079 Respiratory Toxicity:  0.542
Drug-induced Neurotoxicity:  0.38 Ototoxicity:  0.966
Hematotoxicity:  0.049 Drug-induced Nephrotoxicity:  0.072
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.319 Hek293 Cytotoxicity:  0.436
BCF:   2.298
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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:   5.546
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.014
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.723
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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
NPO8121 Symplocos chinensis Species Symplocaceae Eukaryota roots n.a. n.a. PMID[15620235]
NPO8121 Symplocos chinensis Species Symplocaceae Eukaryota roots Nanning City, Guangxi Province, People's Republic of China 1997-Jan PMID[17190442]
NPO8121 Symplocos chinensis Species Symplocaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8121 Symplocos chinensis Species Symplocaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8121 Symplocos chinensis Species Symplocaceae 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
NPT180 Cell line HCT-8 Homo sapiens IC50 > 10000.0 nM PMID[10425118]
NPT181 Cell line Bel-7402 Homo sapiens IC50 > 10000.0 nM PMID[20070106]
NPT547 Cell line BGC-823 Homo sapiens IC50 > 10000.0 nM PMID[19655762]
NPT81 Cell line A549 Homo sapiens IC50 > 10000.0 nM PubChem BioAssay data set
NPT179 Cell line A2780 Homo sapiens IC50 > 10000.0 nM PubChem BioAssay data set

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 NPC474190 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
0.7703 Intermediate Similarity NPC273668
0.7595 Intermediate Similarity NPC473586
0.6494 Remote Similarity NPC480919
0.6375 Remote Similarity NPC88349
0.625 Remote Similarity NPC475263
0.622 Remote Similarity NPC476132
0.6203 Remote Similarity NPC294360
0.6024 Remote Similarity NPC480921
0.6024 Remote Similarity NPC480920
0.5946 Remote Similarity NPC480924
0.5867 Remote Similarity NPC238992
0.5741 Remote Similarity NPC264566
0.5636 Remote Similarity NPC301639
0.5636 Remote Similarity NPC478065
0.56 Remote Similarity NPC237344
0.5333 Remote Similarity NPC477075
0.5294 Remote Similarity NPC175006
0.5281 Remote Similarity NPC476195
0.5116 Remote Similarity NPC480923
0.5065 Remote Similarity NPC474989
0.5063 Remote Similarity NPC470588

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474190 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