Natural Product: NPC28192

Natural Product IDNPC28192
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PLKFSXFJGNZAER-HCGIPUGESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6325466
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 PLKFSXFJGNZAER-HCGIPUGESA-N
Standard InCHI InChI=1S/C28H34O8/c1-9-14(2)28(29)36-23-16(4)15(3)10-17-11-20-25(35-13-34-20)26(32-7)21(17)22-18(23)12-19(30-5)24(31-6)27(22)33-8/h9,11-12,15-16,23H,10,13H2,1-8H3/b14-9+/t15-,16-,23?/m0/s1
SMILES C/C=C(C)/C(=O)OC1[C@@H](C)[C@@H](C)Cc2cc3c(c(c2-c2c1cc(c(c2OC)OC)OC)OC)OCO3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   498.23 Volume:   507.848
?
Van der Waals volume.
Dense:   0.981 LogP:   3.427
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.426
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.229
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   24.0
TPSA:   81.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.382 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.065 Fsp3:   0.464
MCE-18:   87.585
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.484 Fluc inhibitor:   0.309
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.381
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.615
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.232 Promiscuous compounds:   0.16

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.072 MDCK Permeability:   -4.805
Pgp-inhibitor:   0.868 Pgp-substrate:   0.025
PAMPA:   0.039
?
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):   0.0
20% Bioavailability (F20%):   0.212 30% Bioavailability (F30%):   0.004
50% Bioavailability (F50%):   0.804

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.887 MRP1:   0.996
Plasma Protein Binding (PPB):   97.27% Volume Distribution (VD):   0.149
Fu: 2.632%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.973
OATP1B3 inhibitor:   0.956 BCRP inhibitor:   0.018
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.991
CYP2C9-inhibitor:   0.73 CYP2C9-substrate:   0.44
CYP2D6-inhibitor:   0.389 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.698 CYP2C8-inhibitor:   0.391
HLM stability:   0.978
?
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):  4.725 Half-life (T1/2):  0.734

ADMET: Toxicity

hERG Blockers:  0.165 hERG Blockers (10um):  0.539
Human Hepatotoxicity (H-HT):  0.592 Drug-induced Liver Injury (DILI):  0.83
AMES Toxicity:  0.528 Rat Oral Acute Toxicity:  0.458
Maximum Recommended Daily Dose:  0.709 Skin Sensitization:  0.793
Carcinogencity:  0.906 Eye Corrosion:  0.0
Eye Irritation:  0.114 Respiratory Toxicity:  0.57
Drug-induced Neurotoxicity:  0.824 Ototoxicity:  0.574
Hematotoxicity:  0.732 Drug-induced Nephrotoxicity:  0.813
Genotoxicity:  0.855 RPMI-8226 Immunitoxicity:  0.343
A549 Cytotoxicity:  0.449 Hek293 Cytotoxicity:  0.714
BCF:   1.828
?
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:   4.027
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.66
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.875
?
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
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[16562834]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. fruit n.a. PMID[24155209]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[24959987]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[25302569]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8187 Schisandra chinensis Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8187 Schisandra chinensis Species Schisandraceae 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

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 NPC28192 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
0.9636 High Similarity NPC85141
0.8421 Intermediate Similarity NPC76415
0.8421 Intermediate Similarity NPC218510
0.7759 Intermediate Similarity NPC327352
0.7759 Intermediate Similarity NPC198129
0.7759 Intermediate Similarity NPC252281
0.75 Intermediate Similarity NPC322426
0.7463 Intermediate Similarity NPC476065
0.7258 Intermediate Similarity NPC316989
0.7193 Intermediate Similarity NPC865
0.7101 Intermediate Similarity NPC475229
0.7015 Intermediate Similarity NPC126405
0.7015 Intermediate Similarity NPC53669
0.7015 Intermediate Similarity NPC77237
0.7015 Intermediate Similarity NPC297271
0.7015 Intermediate Similarity NPC16791
0.7015 Intermediate Similarity NPC217708
0.6857 Remote Similarity NPC63061
0.6716 Remote Similarity NPC198461
0.6716 Remote Similarity NPC24562
0.6567 Remote Similarity NPC471154
0.6552 Remote Similarity NPC326144
0.6522 Remote Similarity NPC477885
0.6429 Remote Similarity NPC145722
0.6429 Remote Similarity NPC256776
0.6429 Remote Similarity NPC185680
0.6418 Remote Similarity NPC312763
0.6338 Remote Similarity NPC475756
0.6324 Remote Similarity NPC191352
0.629 Remote Similarity NPC318286
0.6167 Remote Similarity NPC141493
0.6129 Remote Similarity NPC327651
0.6094 Remote Similarity NPC321958
0.6087 Remote Similarity NPC308739
0.6071 Remote Similarity NPC32189
0.6034 Remote Similarity NPC216434
0.6034 Remote Similarity NPC103448
0.6034 Remote Similarity NPC606558
0.597 Remote Similarity NPC295297
0.5968 Remote Similarity NPC184928
0.5946 Remote Similarity NPC474606
0.5938 Remote Similarity NPC220577
0.5921 Remote Similarity NPC348849
0.5921 Remote Similarity NPC238834
0.5921 Remote Similarity NPC178195
0.5897 Remote Similarity NPC215400
0.5846 Remote Similarity NPC321696
0.5833 Remote Similarity NPC224472
0.5714 Remote Similarity NPC154971
0.5714 Remote Similarity NPC121661
0.5694 Remote Similarity NPC473323
0.569 Remote Similarity NPC474295
0.5672 Remote Similarity NPC325122
0.5652 Remote Similarity NPC73467
0.5571 Remote Similarity NPC252286
0.5507 Remote Similarity NPC325720
0.5507 Remote Similarity NPC316676
0.5479 Remote Similarity NPC477380
0.5432 Remote Similarity NPC230531
0.5385 Remote Similarity NPC53722
0.5385 Remote Similarity NPC201404
0.5385 Remote Similarity NPC290714
0.5373 Remote Similarity NPC304821
0.5373 Remote Similarity NPC230538
0.5373 Remote Similarity NPC229172
0.5373 Remote Similarity NPC103637
0.5373 Remote Similarity NPC36531
0.5352 Remote Similarity NPC319749
0.5316 Remote Similarity NPC485504
0.5286 Remote Similarity NPC474393
0.5286 Remote Similarity NPC474347
0.527 Remote Similarity NPC470916
0.5256 Remote Similarity NPC29727
0.5217 Remote Similarity NPC473989
0.5195 Remote Similarity NPC475592
0.5128 Remote Similarity NPC483406
0.5075 Remote Similarity NPC172171
0.5075 Remote Similarity NPC239254
0.5065 Remote Similarity NPC280778
0.5062 Remote Similarity NPC311912

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC28192 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