Natural Product: NPC492840

Natural Product IDNPC492840
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-[(2~{S},3~{S})-4-(1,3-benzodioxol-5-yl)-2,3-dimethyl-butyl]-2,3-dimethoxy-phenol
IUPAC Name 5-[(2~{S},3~{S})-4-(1,3-benzodioxol-5-yl)-2,3-dimethyl-butyl]-2,3-dimethoxy-phenol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 ZGHOATLFXGBJGZ-KBPBESRZSA-N
Standard InCHI InChI=1S/C21H26O5/c1-13(7-15-5-6-18-19(10-15)26-12-25-18)14(2)8-16-9-17(22)21(24-4)20(11-16)23-3/h5-6,9-11,13-14,22H,7-8,12H2,1-4H3/t13-,14-/m0/s1
SMILES COC1=CC(C[C@H](C)[C@@H](C)CC2=CC=C3OCOC3=C2)=CC(O)=C1OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   358.18 Volume:   374.235
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Van der Waals volume.
Dense:   0.957 LogP:   3.907
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.591
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.681
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   16.0
TPSA:   57.15
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.804 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.098 Fsp3:   0.429
MCE-18:   55.2
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.506 Fluc inhibitor:   0.345
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.03
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.262
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.328 Promiscuous compounds:   0.287

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.018 MDCK Permeability:   -4.758
Pgp-inhibitor:   0.769 Pgp-substrate:   0.022
PAMPA:   0.003
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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):   0.0
20% Bioavailability (F20%):   0.112 30% Bioavailability (F30%):   0.188
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.056 MRP1:   0.432
Plasma Protein Binding (PPB):   96.494% Volume Distribution (VD):   -0.259
Fu: 3.622%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.606
OATP1B3 inhibitor:   0.512 BCRP inhibitor:   0.247
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.082 CYP1A2-substrate:   0.972
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.972 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   0.087 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.999
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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):  4.437 Half-life (T1/2):  0.847

ADMET: Toxicity

hERG Blockers:  0.306 hERG Blockers (10um):  0.684
Human Hepatotoxicity (H-HT):  0.665 Drug-induced Liver Injury (DILI):  0.74
AMES Toxicity:  0.489 Rat Oral Acute Toxicity:  0.288
Maximum Recommended Daily Dose:  0.356 Skin Sensitization:  0.638
Carcinogencity:  0.652 Eye Corrosion:  0.285
Eye Irritation:  0.956 Respiratory Toxicity:  0.56
Drug-induced Neurotoxicity:  0.681 Ototoxicity:  0.412
Hematotoxicity:  0.462 Drug-induced Nephrotoxicity:  0.661
Genotoxicity:  0.26 RPMI-8226 Immunitoxicity:  0.163
A549 Cytotoxicity:  0.389 Hek293 Cytotoxicity:  0.469
BCF:   2.267
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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:   4.341
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.903
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.126
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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
NPO55807 Schisandra propinqua var.propinqua Genus Schisandraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC492840 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
0.7209 Intermediate Similarity NPC76451
0.72 Intermediate Similarity NPC274356
0.72 Intermediate Similarity NPC101748
0.7111 Intermediate Similarity NPC344161
0.6977 Remote Similarity NPC80241
0.6977 Remote Similarity NPC301641
0.6977 Remote Similarity NPC485483
0.6735 Remote Similarity NPC249788
0.6471 Remote Similarity NPC485480
0.614 Remote Similarity NPC487677
0.614 Remote Similarity NPC487675
0.614 Remote Similarity NPC46880
0.5932 Remote Similarity NPC106739
0.5893 Remote Similarity NPC474017
0.5833 Remote Similarity NPC471505
0.5769 Remote Similarity NPC485482
0.5738 Remote Similarity NPC487679
0.5738 Remote Similarity NPC487678
0.5714 Remote Similarity NPC28398
0.5614 Remote Similarity NPC488984
0.5614 Remote Similarity NPC488985
0.5577 Remote Similarity NPC227217
0.5577 Remote Similarity NPC117780
0.5556 Remote Similarity NPC104077
0.5556 Remote Similarity NPC165106
0.5556 Remote Similarity NPC219671
0.5556 Remote Similarity NPC147616
0.551 Remote Similarity NPC40352
0.551 Remote Similarity NPC213711
0.55 Remote Similarity NPC487681
0.55 Remote Similarity NPC474039
0.5472 Remote Similarity NPC196937
0.541 Remote Similarity NPC161249
0.5345 Remote Similarity NPC284464
0.5273 Remote Similarity NPC63574
0.5185 Remote Similarity NPC606623
0.5106 Remote Similarity NPC31279
0.5102 Remote Similarity NPC477886
0.5094 Remote Similarity NPC476748
0.5091 Remote Similarity NPC232275
0.5088 Remote Similarity NPC143895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC492840 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
0.5556 Remote Similarity NPD5283 Phase 2

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