Natural Product: NPC195114

Natural Product IDNPC195114
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Galloyloxypaeoniflorin
IUPAC Name n.a.
Synonyms Galloyloxypaeoniflorin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2205289
PubChem CID 71455849
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides

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 UXLQQSZFSBGUNY-QHOIGUMUSA-N
Standard InCHI InChI=1S/C30H32O16/c1-27-10-29(40)18-8-30(27,28(18,26(45-27)46-29)11-42-23(38)12-2-4-14(31)5-3-12)44-25-22(37)21(36)20(35)17(43-25)9-41-24(39)13-6-15(32)19(34)16(33)7-13/h2-7,17-18,20-22,25-26,31-37,40H,8-11H2,1H3/t17-,18-,20-,21+,22-,25+,26-,27+,28+,29-,30+/m1/s1
SMILES C[C@]12C[C@@]3([C@@H]4C[C@]1([C@]4(COC(=O)c1ccc(cc1)O)[C@H](O2)O3)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](COC(=O)c2cc(c(c(c2)O)O)O)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   648.17 Volume:   587.093
?
Van der Waals volume.
Dense:   1.104 LogP:   1.327
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.695
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.361
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   33.0
TPSA:   251.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.13 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.436 Fsp3:   0.533
MCE-18:   171.13
?
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:   1 PAINS Alert:   1
Colloidal aggregators:   0.624 Fluc inhibitor:   0.233
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.064
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.295
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.096 Promiscuous compounds:   0.305

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.356 MDCK Permeability:   -5.21
Pgp-inhibitor:   0.0 Pgp-substrate:   0.032
PAMPA:   0.994
?
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):   0.001
20% Bioavailability (F20%):   0.96 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.989
Plasma Protein Binding (PPB):   79.029% Volume Distribution (VD):   -0.35
Fu: 23.288%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.679
BSEP inhibitor:   0.174

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.183
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.983
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.949
HLM stability:   0.423
?
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):  2.6 Half-life (T1/2):  4.442

ADMET: Toxicity

hERG Blockers:  0.055 hERG Blockers (10um):  0.799
Human Hepatotoxicity (H-HT):  0.073 Drug-induced Liver Injury (DILI):  0.35
AMES Toxicity:  0.866 Rat Oral Acute Toxicity:  0.022
Maximum Recommended Daily Dose:  0.381 Skin Sensitization:  1.0
Carcinogencity:  0.189 Eye Corrosion:  0.0
Eye Irritation:  0.14 Respiratory Toxicity:  0.041
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.989
Hematotoxicity:  0.006 Drug-induced Nephrotoxicity:  0.03
Genotoxicity:  0.636 RPMI-8226 Immunitoxicity:  0.024
A549 Cytotoxicity:  0.953 Hek293 Cytotoxicity:  0.695
BCF:   0.517
?
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:   3.691
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.237
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.592
?
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
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Anhui province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Gansu province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Henan province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Shandong province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Shanxi province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. DOI[10.2174/092986712800229032]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. PMID[11339628]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. bark n.a. PMID[17260795]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. PMID[19402674]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. Daejeon, Korea 2007-Jan PMID[19670875]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[19721258]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[19772486]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[20806783]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[20822014]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21782011]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[22190295]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. root n.a. PMID[22547314]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota root bark Bozhou, Anhui Province, China 2010-AUG PMID[24377852]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. flower n.a. PMID[24504864]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota Flowers LuoYang, HeNan, China n.a. PMID[24621197]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[26838074]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[27313650]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[27429639]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[29741372]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds HeZe, ShanDong, China early autumn (from August to the beginning of September PMID[32545196]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[32951423]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Xinjiang,China PMID[33063333]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22550 Paeonia suffruticosa Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9798 Paeonia lactiflora Species Paeoniaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 > 100000.0 nM PMID[23067550]
NPT610 Others Molecular identity unknown n.a. INH = 0.25 mM PMID[24377852]
NPT610 Others Molecular identity unknown n.a. INH = 0.14 mM PMID[24377852]

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 NPC195114 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
0.9114 High Similarity NPC88176
0.8916 High Similarity NPC80360
0.8675 High Similarity NPC469396
0.8675 High Similarity NPC469458
0.8675 High Similarity NPC149002
0.8276 Intermediate Similarity NPC148185
0.7831 Intermediate Similarity NPC34066
0.7831 Intermediate Similarity NPC190862
0.7738 Intermediate Similarity NPC293568
0.7738 Intermediate Similarity NPC161626
0.734 Intermediate Similarity NPC188217
0.6848 Remote Similarity NPC469398
0.6837 Remote Similarity NPC477617
0.6596 Remote Similarity NPC469418
0.6591 Remote Similarity NPC303429
0.6591 Remote Similarity NPC56594
0.6531 Remote Similarity NPC478828
0.6471 Remote Similarity NPC469397
0.6458 Remote Similarity NPC260300
0.6337 Remote Similarity NPC469421
0.6304 Remote Similarity NPC120012
0.6277 Remote Similarity NPC469419
0.625 Remote Similarity NPC469438
0.6176 Remote Similarity NPC478829
0.6117 Remote Similarity NPC478826
0.6117 Remote Similarity NPC478827
0.5638 Remote Similarity NPC469417
0.5567 Remote Similarity NPC117943
0.5532 Remote Similarity NPC469448
0.5521 Remote Similarity NPC469422
0.5281 Remote Similarity NPC140151
0.5096 Remote Similarity NPC265600
0.5052 Remote Similarity NPC469399

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC195114 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