Natural Product: NPC170694

Natural Product IDNPC170694
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Nitidanin
IUPAC Name 4-[(2S,3S)-3-(hydroxymethyl)-7-[(E)-3-hydroxyprop-1-enyl]-5-methoxy-2,3-dihydro-1,4-benzodioxin-2-yl]-2,6-dimethoxyphenol
Synonyms Nitidanin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL479693
PubChem CID 11188887
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0002699] Benzodioxanes
        • [CHEMONTID:0002704] Phenylbenzodioxanes
          • [CHEMONTID:0002707] Phenylbenzo-1,4-dioxanes

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 AZTAGXIJLPKJOR-BJUCQYRTSA-N
Standard InCHI InChI=1S/C21H24O8/c1-25-14-9-13(10-15(26-2)19(14)24)20-18(11-23)29-21-16(27-3)7-12(5-4-6-22)8-17(21)28-20/h4-5,7-10,18,20,22-24H,6,11H2,1-3H3/b5-4+/t18-,20-/m0/s1
SMILES COc1cc(cc(c1O)OC)[C@H]1[C@H](CO)Oc2c(cc(/C=C/CO)cc2O1)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   404.15 Volume:   397.969
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Van der Waals volume.
Dense:   1.016 LogP:   2.044
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.36
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.863
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   18.0
TPSA:   106.84
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.645 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.493 Fsp3:   0.333
MCE-18:   59.714
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.437 Fluc inhibitor:   0.846
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.075
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.449
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.287 Promiscuous compounds:   0.742

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.467 MDCK Permeability:   -5.04
Pgp-inhibitor:   0.94 Pgp-substrate:   0.046
PAMPA:   0.014
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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):   0.003
20% Bioavailability (F20%):   0.071 30% Bioavailability (F30%):   0.386
50% Bioavailability (F50%):   0.849

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.074 MRP1:   0.634
Plasma Protein Binding (PPB):   88.659% Volume Distribution (VD):   -0.165
Fu: 12.33%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.962
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.249 CYP1A2-substrate:   0.068
CYP2C19-inhibitor:   0.948 CYP2C19-substrate:   0.11
CYP2C9-inhibitor:   0.215 CYP2C9-substrate:   0.063
CYP2D6-inhibitor:   0.231 CYP2D6-substrate:   0.202
CYP3A4-inhibitor:   0.167 CYP3A4-substrate:   0.838
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.623
HLM stability:   0.144
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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):  8.347 Half-life (T1/2):  1.552

ADMET: Toxicity

hERG Blockers:  0.114 hERG Blockers (10um):  0.263
Human Hepatotoxicity (H-HT):  0.862 Drug-induced Liver Injury (DILI):  0.53
AMES Toxicity:  0.44 Rat Oral Acute Toxicity:  0.1
Maximum Recommended Daily Dose:  0.204 Skin Sensitization:  0.947
Carcinogencity:  0.461 Eye Corrosion:  0.003
Eye Irritation:  0.835 Respiratory Toxicity:  0.288
Drug-induced Neurotoxicity:  0.591 Ototoxicity:  0.53
Hematotoxicity:  0.316 Drug-induced Nephrotoxicity:  0.404
Genotoxicity:  0.27 RPMI-8226 Immunitoxicity:  0.158
A549 Cytotoxicity:  0.263 Hek293 Cytotoxicity:  0.189
BCF:   0.571
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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:   3.083
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.841
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.744
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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
NPO4645 Grewia bilamellata Species n.a. n.a. n.a. n.a. n.a. PMID[16562832]
NPO4645 Grewia bilamellata Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO7348 Streptomyces gannmycicus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO7348 Streptomyces gannmycicus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO4645 Grewia bilamellata Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4154 Cortinarius violaceus Species Cortinariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10592 Phascolosoma elongatum Species Phascolosomatidae 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
NPT91 Cell line KB Homo sapiens ED50 > 99.0 uM PMID[16562832]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 21200.0 nM PMID[16562832]
NPT6 Organism Plasmodium falciparum Plasmodium falciparum IC50 = 18400.0 nM PMID[16562832]

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 NPC170694 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
0.8302 Intermediate Similarity NPC193722
0.6667 Remote Similarity NPC224876
0.6441 Remote Similarity NPC83375
0.625 Remote Similarity NPC184447
0.5763 Remote Similarity NPC72529
0.5625 Remote Similarity NPC229401
0.5556 Remote Similarity NPC278469
0.5484 Remote Similarity NPC30083
0.5397 Remote Similarity NPC488544
0.5303 Remote Similarity NPC481838
0.5238 Remote Similarity NPC7903
0.5238 Remote Similarity NPC160991
0.5205 Remote Similarity NPC469559
0.5082 Remote Similarity NPC309744
0.5079 Remote Similarity NPC87725
0.5079 Remote Similarity NPC263261

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC170694 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