Natural Product: NPC238834

Natural Product IDNPC238834
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Schizarin C
IUPAC Name n.a.
Synonyms Schizarin C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL476699
PubChem CID 10743985
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 XEIWTSUWNIHCLK-RKPUJPDHSA-N
Standard InCHI InChI=1S/C28H36O8/c1-7-8-9-10-21(29)36-25-16(3)15(2)11-17-12-19(31-4)27(32-5)28(33-6)22(17)23-18(25)13-20-26(24(23)30)35-14-34-20/h12-13,15-16,25,30H,7-11,14H2,1-6H3/t15-,16-,25+/m1/s1
SMILES CCCCCC(=O)O[C@H]1[C@H](C)[C@H](C)Cc2c(c3c1cc1OCOc1c3O)c(OC)c(c(c2)OC)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   500.24 Volume:   510.485
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Van der Waals volume.
Dense:   0.98 LogP:   5.37
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.09
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.418
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   23.0
TPSA:   92.68
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.359 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.921 Fsp3:   0.536
MCE-18:   84.047
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.871 Fluc inhibitor:   0.079
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.357
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.708
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.202 Promiscuous compounds:   0.477

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.963 MDCK Permeability:   -4.709
Pgp-inhibitor:   0.061 Pgp-substrate:   0.232
PAMPA:   0.183
?
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%):   0.214 30% Bioavailability (F30%):   0.006
50% Bioavailability (F50%):   0.946

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.487 MRP1:   0.996
Plasma Protein Binding (PPB):   98.081% Volume Distribution (VD):   -0.096
Fu: 1.76%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.504
OATP1B3 inhibitor:   0.629 BCRP inhibitor:   0.035
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.067 CYP1A2-substrate:   0.991
CYP2C19-inhibitor:   0.994 CYP2C19-substrate:   0.997
CYP2C9-inhibitor:   0.572 CYP2C9-substrate:   0.21
CYP2D6-inhibitor:   0.004 CYP2D6-substrate:   0.974
CYP3A4-inhibitor:   0.915 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.048 CYP2C8-inhibitor:   0.995
HLM stability:   0.552
?
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):  4.317 Half-life (T1/2):  0.764

ADMET: Toxicity

hERG Blockers:  0.181 hERG Blockers (10um):  0.564
Human Hepatotoxicity (H-HT):  0.603 Drug-induced Liver Injury (DILI):  0.874
AMES Toxicity:  0.629 Rat Oral Acute Toxicity:  0.382
Maximum Recommended Daily Dose:  0.653 Skin Sensitization:  0.874
Carcinogencity:  0.889 Eye Corrosion:  0.005
Eye Irritation:  0.475 Respiratory Toxicity:  0.822
Drug-induced Neurotoxicity:  0.43 Ototoxicity:  0.545
Hematotoxicity:  0.747 Drug-induced Nephrotoxicity:  0.888
Genotoxicity:  0.019 RPMI-8226 Immunitoxicity:  0.315
A549 Cytotoxicity:  0.813 Hek293 Cytotoxicity:  0.462
BCF:   1.949
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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:   4.703
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.361
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.704
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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
NPO10144 Kadsura matsudai Species Schisandraceae Eukaryota n.a. stem n.a. PMID[11215493]
NPO10144 Kadsura matsudai Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[11325232]
NPO10144 Kadsura matsudai Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10144 Kadsura matsudai Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10144 Kadsura matsudai 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
NPT963 Organism Hepatitis B virus Hepatitis B virus Activity < 25.0 % PMID[25128665]

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 NPC238834 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
0.8676 High Similarity NPC475756
0.7917 Intermediate Similarity NPC474606
0.7794 Intermediate Similarity NPC121661
0.7286 Intermediate Similarity NPC154971
0.7051 Intermediate Similarity NPC311912
0.6438 Remote Similarity NPC252286
0.6232 Remote Similarity NPC184684
0.6232 Remote Similarity NPC184641
0.6203 Remote Similarity NPC476065
0.6111 Remote Similarity NPC76415
0.6111 Remote Similarity NPC218510
0.5867 Remote Similarity NPC73467
0.5844 Remote Similarity NPC471154
0.5658 Remote Similarity NPC85141
0.5632 Remote Similarity NPC230531
0.5616 Remote Similarity NPC321958
0.5571 Remote Similarity NPC865
0.5542 Remote Similarity NPC63061
0.5529 Remote Similarity NPC485504
0.5357 Remote Similarity NPC475229
0.5342 Remote Similarity NPC133934
0.5325 Remote Similarity NPC316989
0.5169 Remote Similarity NPC215400
0.5135 Remote Similarity NPC318286
0.5128 Remote Similarity NPC474393
0.5128 Remote Similarity NPC474347

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC238834 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