Natural Product: NPC253344

Natural Product IDNPC253344
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KXZKYCRWMZGOMF-NEDXIOEJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6324843
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000296] Benzodioxoles

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 KXZKYCRWMZGOMF-NEDXIOEJSA-N
Standard InCHI InChI=1S/C27H39NO3/c1-23(2)21-28-27(29)17-15-13-11-9-7-5-3-4-6-8-10-12-14-16-24-18-19-25-26(20-24)31-22-30-25/h11,13-20,23H,3-10,12,21-22H2,1-2H3,(H,28,29)/b13-11?,16-14+,17-15+
SMILES CC(C)CN=C(/C=C/C=CCCCCCCCCC/C=C/c1ccc2c(c1)OCO2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   425.29 Volume:   477.347
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Van der Waals volume.
Dense:   0.891 LogP:   7.902
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.492
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.79
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   14.0
TPSA:   51.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.136 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.04 Fsp3:   0.519
MCE-18:   22.537
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.999 Fluc inhibitor:   0.999
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.071
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.845
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.196 Promiscuous compounds:   0.114

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.951 MDCK Permeability:   -4.619
Pgp-inhibitor:   0.902 Pgp-substrate:   0.004
PAMPA:   0.003
?
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):   0.002
20% Bioavailability (F20%):   0.874 30% Bioavailability (F30%):   0.824
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.015
Plasma Protein Binding (PPB):   99.009% Volume Distribution (VD):   -0.136
Fu: 0.61%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.99
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.182
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.076 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   0.922
CYP2C9-inhibitor:   0.784 CYP2C9-substrate:   1.0
CYP2D6-inhibitor:   0.997 CYP2D6-substrate:   0.983
CYP3A4-inhibitor:   0.044 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.144
?
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):  4.876 Half-life (T1/2):  0.605

ADMET: Toxicity

hERG Blockers:  0.455 hERG Blockers (10um):  0.423
Human Hepatotoxicity (H-HT):  0.961 Drug-induced Liver Injury (DILI):  0.838
AMES Toxicity:  0.788 Rat Oral Acute Toxicity:  0.253
Maximum Recommended Daily Dose:  0.632 Skin Sensitization:  1.0
Carcinogencity:  0.765 Eye Corrosion:  0.007
Eye Irritation:  0.771 Respiratory Toxicity:  0.856
Drug-induced Neurotoxicity:  0.118 Ototoxicity:  0.447
Hematotoxicity:  0.17 Drug-induced Nephrotoxicity:  0.844
Genotoxicity:  0.006 RPMI-8226 Immunitoxicity:  0.042
A549 Cytotoxicity:  0.31 Hek293 Cytotoxicity:  0.609
BCF:   1.587
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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:   5.423
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.096
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.602
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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
NPO6648 Piper retrofractum Species Piperaceae Eukaryota Fruits n.a. n.a. PMID[23506561]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota leaves n.a. n.a. PMID[25127165]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13358 Piper brachystachyum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13358 Piper brachystachyum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13358 Piper brachystachyum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6648 Piper retrofractum Species Piperaceae 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

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 NPC253344 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
1.0 High Similarity NPC41331
1.0 High Similarity NPC291449
0.9821 High Similarity NPC71105
0.8966 High Similarity NPC170583
0.8793 High Similarity NPC156944
0.8621 High Similarity NPC152186
0.7419 Intermediate Similarity NPC191302
0.7167 Intermediate Similarity NPC182147
0.7167 Intermediate Similarity NPC207541
0.7167 Intermediate Similarity NPC246133
0.6818 Remote Similarity NPC147247
0.65 Remote Similarity NPC300955
0.6212 Remote Similarity NPC99798
0.6119 Remote Similarity NPC220923
0.6119 Remote Similarity NPC196609
0.6061 Remote Similarity NPC251466
0.597 Remote Similarity NPC328419
0.5882 Remote Similarity NPC246974
0.5735 Remote Similarity NPC114845
0.5672 Remote Similarity NPC230698
0.5672 Remote Similarity NPC99078
0.5672 Remote Similarity NPC96406
0.5588 Remote Similarity NPC473463
0.5522 Remote Similarity NPC193673
0.5522 Remote Similarity NPC157740
0.5507 Remote Similarity NPC73883
0.5507 Remote Similarity NPC251454
0.5441 Remote Similarity NPC318862
0.5373 Remote Similarity NPC194359
0.5373 Remote Similarity NPC28641
0.5373 Remote Similarity NPC180647
0.5373 Remote Similarity NPC225745
0.5362 Remote Similarity NPC103947
0.5362 Remote Similarity NPC45783
0.5352 Remote Similarity NPC282477
0.5352 Remote Similarity NPC284855
0.5224 Remote Similarity NPC69670
0.5172 Remote Similarity NPC104138
0.5172 Remote Similarity NPC273023
0.5172 Remote Similarity NPC24216
0.5172 Remote Similarity NPC306420
0.5085 Remote Similarity NPC261158

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC253344 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