Natural Product: NPC471922

Natural Product IDNPC471922
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Phyllanthusmin B
IUPAC Name [(3S,4R,5R,6S)-6-[[9-(1,3-benzodioxol-5-yl)-6,7-dimethoxy-1-oxo-3H-benzo[f][2]benzofuran-4-yl]oxy]-4,5-dihydroxyoxan-3-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3298729
PubChem CID 90683255
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0001511] Lignan 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 PDCZTHZYQGOSBV-WVZMWUMTSA-N
Standard InCHI InChI=1S/C28H26O12/c1-12(29)39-21-10-36-28(25(31)24(21)30)40-26-15-8-19(34-3)18(33-2)7-14(15)22(23-16(26)9-35-27(23)32)13-4-5-17-20(6-13)38-11-37-17/h4-8,21,24-25,28,30-31H,9-11H2,1-3H3/t21-,24-,25+,28-/m0/s1
SMILES CC(=O)OC1COC(C(C1O)O)OC2=C3COC(=O)C3=C(C4=CC(=C(C=C42)OC)OC)C5=CC6=C(C=C5)OCO6

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   554.14 Volume:   520.623
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Van der Waals volume.
Dense:   1.064 LogP:   2.145
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.264
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.69
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   33.0
TPSA:   148.44
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Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.431 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.11 Fsp3:   0.357
MCE-18:   117.895
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.584 Fluc inhibitor:   0.013
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.757
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.728
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.018 Promiscuous compounds:   0.102

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.837 MDCK Permeability:   -5.036
Pgp-inhibitor:   0.013 Pgp-substrate:   0.305
PAMPA:   0.91
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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):   0.088
20% Bioavailability (F20%):   0.146 30% Bioavailability (F30%):   0.005
50% Bioavailability (F50%):   0.943

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.035 MRP1:   0.93
Plasma Protein Binding (PPB):   96.429% Volume Distribution (VD):   -0.105
Fu: 4.332%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.915
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.276
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.224 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   0.935 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.835 CYP2C9-substrate:   0.292
CYP2D6-inhibitor:   0.593 CYP2D6-substrate:   0.664
CYP3A4-inhibitor:   0.055 CYP3A4-substrate:   0.157
CYP2B6-substrate:   0.224 CYP2C8-inhibitor:   0.104
HLM stability:   0.088
?
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):  2.175 Half-life (T1/2):  1.712

ADMET: Toxicity

hERG Blockers:  0.139 hERG Blockers (10um):  0.575
Human Hepatotoxicity (H-HT):  0.888 Drug-induced Liver Injury (DILI):  0.987
AMES Toxicity:  0.91 Rat Oral Acute Toxicity:  0.556
Maximum Recommended Daily Dose:  0.909 Skin Sensitization:  0.939
Carcinogencity:  0.936 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.069
Drug-induced Neurotoxicity:  0.801 Ototoxicity:  0.945
Hematotoxicity:  0.873 Drug-induced Nephrotoxicity:  0.933
Genotoxicity:  0.943 RPMI-8226 Immunitoxicity:  0.345
A549 Cytotoxicity:  0.464 Hek293 Cytotoxicity:  0.859
BCF:   0.969
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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:   3.531
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.895
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.621
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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
NPO33442 phyllanthus poilanei Species n.a. Eukaryota n.a. n.a. n.a. PMID[24937209]

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
NPT139 Cell line HT-29 Homo sapiens IC50 = 1800.0 nM PMID[17242150]

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 NPC471922 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
0.7857 Intermediate Similarity NPC292712
0.7765 Intermediate Similarity NPC471920
0.7561 Intermediate Similarity NPC474075
0.7561 Intermediate Similarity NPC483381
0.7529 Intermediate Similarity NPC471921
0.75 Intermediate Similarity NPC20114
0.7381 Intermediate Similarity NPC114550
0.7381 Intermediate Similarity NPC312006
0.7381 Intermediate Similarity NPC602979
0.7093 Intermediate Similarity NPC129930
0.7059 Intermediate Similarity NPC184624
0.6932 Remote Similarity NPC471923
0.6782 Remote Similarity NPC473531
0.6667 Remote Similarity NPC161609
0.6579 Remote Similarity NPC239113
0.6421 Remote Similarity NPC473697
0.6364 Remote Similarity NPC19600
0.6327 Remote Similarity NPC275690
0.6122 Remote Similarity NPC35266
0.6122 Remote Similarity NPC167045
0.6122 Remote Similarity NPC114120
0.5949 Remote Similarity NPC115123
0.5488 Remote Similarity NPC78944
0.5357 Remote Similarity NPC286301
0.5357 Remote Similarity NPC313063
0.5301 Remote Similarity NPC15212
0.5053 Remote Similarity NPC474442

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471922 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