Natural Product: NPC273769

Natural Product IDNPC273769
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 VLDUXRGYOUFMGC-GRJWACCOSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10592506
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins
        • [CHEMONTID:0001710] Hydrolyzable tannins

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 VLDUXRGYOUFMGC-GRJWACCOSA-N
Standard InCHI InChI=1S/C14H18O9/c1-21-8-4-6(2-3-7(8)15)13(19)22-5-9-10(16)11(17)12(18)14(20)23-9/h2-4,9-12,14-18,20H,5H2,1H3/t9-,10-,11+,12-,14?/m1/s1
SMILES COc1cc(ccc1O)C(=O)OC[C@@H]1[C@H]([C@@H]([C@H](C(O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   330.1 Volume:   302.154
?
Van der Waals volume.
Dense:   1.092 LogP:   -0.156
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.233
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -1.523
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   13.0
TPSA:   145.91
?
Topological Polar Surface Area.
 H-Bond Acceptor:   9.0
H-Bond Donor:   5.0 Rings:   2.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.41 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.45 Fsp3:   0.5
MCE-18:   52.143
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.375 Fluc inhibitor:   0.012
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.054
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.124
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.133 Promiscuous compounds:   0.134

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.118 MDCK Permeability:   -5.115
Pgp-inhibitor:   0.007 Pgp-substrate:   0.38
PAMPA:   0.878
?
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):   0.252
20% Bioavailability (F20%):   0.719 30% Bioavailability (F30%):   0.884
50% Bioavailability (F50%):   0.977

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.09 MRP1:   0.75
Plasma Protein Binding (PPB):   60.469% Volume Distribution (VD):   -0.493
Fu: 40.445%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.233
BSEP inhibitor:   0.034

ADMET: Metabolism

CYP1A2-inhibitor:   0.008 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.19 CYP2C9-substrate:   0.029
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.128
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.779
HLM stability:   0.263
?
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):  2.902 Half-life (T1/2):  1.879

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.471
Human Hepatotoxicity (H-HT):  0.238 Drug-induced Liver Injury (DILI):  0.614
AMES Toxicity:  0.671 Rat Oral Acute Toxicity:  0.072
Maximum Recommended Daily Dose:  0.086 Skin Sensitization:  0.913
Carcinogencity:  0.404 Eye Corrosion:  0.01
Eye Irritation:  0.933 Respiratory Toxicity:  0.066
Drug-induced Neurotoxicity:  0.09 Ototoxicity:  0.452
Hematotoxicity:  0.067 Drug-induced Nephrotoxicity:  0.471
Genotoxicity:  0.193 RPMI-8226 Immunitoxicity:  0.11
A549 Cytotoxicity:  0.124 Hek293 Cytotoxicity:  0.157
BCF:   0.288
?
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:   2.915
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.191
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.496
?
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 Shanxi 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 Henan 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 Anhui province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. DOI[10.2174/092986712800229032]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. seed n.a. PMID[11540412]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. PMID[19402674]
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]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21782011]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21954959]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota roots Whitessence Srl, Viterbo, Italy 2005-OCT PMID[21954959]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[22190295]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
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]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds LanZhou, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds HeZe, ShanDong, China early autumn (from August to the beginning of September PMID[32545196]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds DingXi, GanSu, 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]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. Database[FooDB]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. Database[FooDB]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24778 Sesamum orientale Species Pedaliaceae 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]
NPO24778 Sesamum orientale Species Pedaliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15265 Paeonia rockii 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
NPO15265 Paeonia rockii Naturally dried; obtain oils by crushing seeds using screw press Seeds 4.111 + 0.013 n.a. n.a. μg/g PMID[32545196]
NPO15265 Paeonia rockii Naturally dried; obtain oils by crushing seeds using screw press Seeds 2.303 ± 0.002 n.a. n.a. μg/g PMID[32545196]
NPO9798 Paeonia lactiflora Naturally dried; obtain oils by crushing seeds using screw press Seeds 1.975 ± 0.037 n.a. n.a. μg/g PMID[32545196]
NPO9798 Paeonia lactiflora Naturally dried; obtain oils by crushing seeds using screw press Seeds 2.361 + 0.007 n.a. n.a. μg/g PMID[32545196]

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

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 NPC273769 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
0.625 Remote Similarity NPC229036
0.5962 Remote Similarity NPC606519
0.5942 Remote Similarity NPC327032
0.5942 Remote Similarity NPC311803
0.5616 Remote Similarity NPC485234
0.549 Remote Similarity NPC159418
0.527 Remote Similarity NPC5786
0.5139 Remote Similarity NPC472054
0.5125 Remote Similarity NPC476011

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC273769 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