Natural Product: NPC17348

Natural Product IDNPC17348
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(-)-Galcatin
IUPAC Name (5S,6S,7R)-5-(3,4-dimethoxyphenyl)-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[f][1,3]benzodioxole
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3290509
PubChem CID 15559452
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0001392] Lignans, neolignans and related compounds
      • [CHEMONTID:0003425] Aryltetralin lignans

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 KLVQONDOFFKFBN-BHVCSQLQSA-N
Standard InCHI InChI=1S/C21H24O4/c1-12-7-15-9-19-20(25-11-24-19)10-16(15)21(13(12)2)14-5-6-17(22-3)18(8-14)23-4/h5-6,8-10,12-13,21H,7,11H2,1-4H3/t12-,13+,21+/m1/s1
SMILES C[C@@H]1Cc2cc3c(cc2[C@@H]([C@H]1C)c1ccc(c(c1)OC)OC)OCO3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   340.17 Volume:   356.888
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Van der Waals volume.
Dense:   0.953 LogP:   3.909
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.588
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.944
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   21.0
TPSA:   36.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.83 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.317 Fsp3:   0.429
MCE-18:   73.333
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.396 Fluc inhibitor:   0.667
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.379
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.014
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.308 Promiscuous compounds:   0.356

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.037 MDCK Permeability:   -4.75
Pgp-inhibitor:   0.358 Pgp-substrate:   0.006
PAMPA:   0.004
?
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%):   0.045 30% Bioavailability (F30%):   0.002
50% Bioavailability (F50%):   0.714

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.793 MRP1:   0.936
Plasma Protein Binding (PPB):   96.38% Volume Distribution (VD):   0.385
Fu: 3.588%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.868
OATP1B3 inhibitor:   0.892 BCRP inhibitor:   0.011
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.186
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.995
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   0.031 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.962
HLM stability:   0.661
?
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):  6.544 Half-life (T1/2):  0.654

ADMET: Toxicity

hERG Blockers:  0.294 hERG Blockers (10um):  0.643
Human Hepatotoxicity (H-HT):  0.878 Drug-induced Liver Injury (DILI):  0.658
AMES Toxicity:  0.712 Rat Oral Acute Toxicity:  0.451
Maximum Recommended Daily Dose:  0.705 Skin Sensitization:  0.303
Carcinogencity:  0.817 Eye Corrosion:  0.005
Eye Irritation:  0.691 Respiratory Toxicity:  0.665
Drug-induced Neurotoxicity:  0.795 Ototoxicity:  0.587
Hematotoxicity:  0.455 Drug-induced Nephrotoxicity:  0.765
Genotoxicity:  0.643 RPMI-8226 Immunitoxicity:  0.097
A549 Cytotoxicity:  0.289 Hek293 Cytotoxicity:  0.603
BCF:   2.396
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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:   4.435
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.431
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.646
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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
NPO19979 Schisandra glaucescens Species Schisandraceae Eukaryota n.a. stem n.a. PMID[23373215]
NPO19979 Schisandra glaucescens Species Schisandraceae Eukaryota fruit n.a. n.a. PMID[24927000]
NPO19979 Schisandra glaucescens 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
NPT78 Individual protein Beta amyloid A4 protein Homo sapiens Activity = 57.4 % PMID[18347108]
NPT78 Individual protein Beta amyloid A4 protein Homo sapiens Activity = 58.2 % PMID[21623630]
NPT78 Individual protein Beta amyloid A4 protein Homo sapiens Activity = 59.8 % PMID[23398362]
NPT78 Individual protein Beta amyloid A4 protein Homo sapiens Activity = 58.7 % PMID[25856683]

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 NPC17348 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
0.8889 High Similarity NPC177167
0.8636 High Similarity NPC601068
0.7708 Intermediate Similarity NPC480480
0.74 Intermediate Similarity NPC23336
0.7037 Intermediate Similarity NPC227002
0.6481 Remote Similarity NPC228771
0.6296 Remote Similarity NPC125134
0.6 Remote Similarity NPC86455
0.6 Remote Similarity NPC137920
0.55 Remote Similarity NPC218092
0.55 Remote Similarity NPC246474
0.55 Remote Similarity NPC162851
0.5294 Remote Similarity NPC344161
0.5185 Remote Similarity NPC89504
0.5185 Remote Similarity NPC88065
0.5185 Remote Similarity NPC95485
0.5161 Remote Similarity NPC33832
0.5079 Remote Similarity NPC196420

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC17348 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