Natural Product: NPC478827

Natural Product IDNPC478827
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZUWHXWYKPYYOMV-KKWCUDMMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 ZUWHXWYKPYYOMV-KKWCUDMMSA-N
Standard InCHI InChI=1S/C33H42O13/c1-29-14-32(40)21-11-33(29,31(21,28(45-29)46-32)15-42-25(38)16-6-4-3-5-7-16)44-26-24(37)23(36)22(35)20(43-26)13-41-27(39)30(2)18-9-8-17(12-34)19(30)10-18/h3-7,17-24,26,28,34-37,40H,8-15H2,1-2H3/t17-,18+,19+,20+,21?,22+,23-,24+,26-,28+,29-,30-,31?,32+,33-/m0/s1
SMILES C[C@]12C[C@@]3(C4C[C@]1(C4(COC(=O)c1ccccc1)[C@H](O2)O3)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](COC(=O)[C@@]2(C)[C@@H]3CC[C@@H](CO)[C@H]2C3)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   646.26 Volume:   611.963
?
Van der Waals volume.
Dense:   1.056 LogP:   1.639
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.053
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.052
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   35.0
TPSA:   190.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   5.0 Rings:   10.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.23 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.002 Fsp3:   0.758
MCE-18:   191.862
?
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:   0.803 Fluc inhibitor:   0.005
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.018
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.013
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.057 Promiscuous compounds:   0.033

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.911 MDCK Permeability:   -5.19
Pgp-inhibitor:   0.001 Pgp-substrate:   0.285
PAMPA:   0.999
?
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):   0.015
20% Bioavailability (F20%):   0.648 30% Bioavailability (F30%):   0.804
50% Bioavailability (F50%):   0.976

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.443 MRP1:   0.832
Plasma Protein Binding (PPB):   56.568% Volume Distribution (VD):   -0.66
Fu: 59.905%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.994
OATP1B3 inhibitor:   0.989 BCRP inhibitor:   0.002
BSEP inhibitor:   0.511

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.017 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.046
CYP3A4-inhibitor:   0.005 CYP3A4-substrate:   0.05
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.983
HLM stability:   0.232
?
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):  1.966 Half-life (T1/2):  2.28

ADMET: Toxicity

hERG Blockers:  0.046 hERG Blockers (10um):  0.236
Human Hepatotoxicity (H-HT):  0.612 Drug-induced Liver Injury (DILI):  0.545
AMES Toxicity:  0.582 Rat Oral Acute Toxicity:  0.092
Maximum Recommended Daily Dose:  0.252 Skin Sensitization:  0.969
Carcinogencity:  0.36 Eye Corrosion:  0.0
Eye Irritation:  0.035 Respiratory Toxicity:  0.088
Drug-induced Neurotoxicity:  0.038 Ototoxicity:  0.938
Hematotoxicity:  0.18 Drug-induced Nephrotoxicity:  0.818
Genotoxicity:  0.381 RPMI-8226 Immunitoxicity:  0.148
A549 Cytotoxicity:  0.309 Hek293 Cytotoxicity:  0.358
BCF:   0.506
?
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:   3.475
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.315
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.429
?
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 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 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 n.a. root n.a. DOI[10.2174/092986712800229032]
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]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[22190295]
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]
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]
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]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9798 Paeonia lactiflora 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[TM-MC]
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 Inhibition = 40.71 % PMID[29741372]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 39.47 % PMID[29741372]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 22.1 % PMID[29741372]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 20.85 % PMID[29741372]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 19.71 % PMID[29741372]
NPT113 Cell line RAW264.7 Mus musculus IC50 > 100000.0 nM PMID[29741372]

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 NPC478827 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 NPC478826
0.7528 Intermediate Similarity NPC34066
0.7528 Intermediate Similarity NPC190862
0.7347 Intermediate Similarity NPC478828
0.734 Intermediate Similarity NPC469398
0.6979 Remote Similarity NPC469396
0.6979 Remote Similarity NPC469458
0.6979 Remote Similarity NPC149002
0.6923 Remote Similarity NPC303429
0.6923 Remote Similarity NPC56594
0.6837 Remote Similarity NPC80360
0.6796 Remote Similarity NPC478829
0.6635 Remote Similarity NPC469421
0.6602 Remote Similarity NPC188217
0.6562 Remote Similarity NPC88176
0.6296 Remote Similarity NPC469397
0.6117 Remote Similarity NPC195114
0.6058 Remote Similarity NPC148185
0.602 Remote Similarity NPC293568
0.602 Remote Similarity NPC161626
0.596 Remote Similarity NPC120012
0.5872 Remote Similarity NPC477617
0.5714 Remote Similarity NPC469448
0.5392 Remote Similarity NPC469422
0.5347 Remote Similarity NPC469417
0.5283 Remote Similarity NPC469420
0.5185 Remote Similarity NPC469438
0.5098 Remote Similarity NPC469399
0.5047 Remote Similarity NPC469419

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC478827 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