Natural Product: NPC57501

Natural Product IDNPC57501
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(E)-3-(1,3-Benzodioxol-5-Yl)Prop-2-Enoic Acid
IUPAC Name (E)-3-(1,3-benzodioxol-5-yl)prop-2-enoic acid
Synonyms 3,4-(Methylenedioxy)Cinnamic Acid; 3,4-Methylenedioxy Cinnamic Acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1173153
PubChem CID 643181
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0000059] Coumaric acids and derivatives

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 QFQYZMGOKIROEC-DUXPYHPUSA-N
Standard InCHI InChI=1S/C10H8O4/c11-10(12)4-2-7-1-3-8-9(5-7)14-6-13-8/h1-5H,6H2,(H,11,12)/b4-2+
SMILES OC(=O)/C=C/c1ccc2c(c1)OCO2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   192.04 Volume:   186.382
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Van der Waals volume.
Dense:   1.03 LogP:   2.009
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.894
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.864
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   12.0
TPSA:   55.76
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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:   0.721 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.0 Fsp3:   0.1
MCE-18:   21.818
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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:   Rejected
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.561 Fluc inhibitor:   0.999
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.505
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.414
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.817 Promiscuous compounds:   0.751

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.837 MDCK Permeability:   -4.695
Pgp-inhibitor:   0.018 Pgp-substrate:   0.006
PAMPA:   0.893
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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):   0.013
20% Bioavailability (F20%):   0.835 30% Bioavailability (F30%):   0.104
50% Bioavailability (F50%):   0.934

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.05 MRP1:   0.038
Plasma Protein Binding (PPB):   77.733% Volume Distribution (VD):   -0.714
Fu: 17.986%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.9
OATP1B3 inhibitor:   0.96 BCRP inhibitor:   0.023
BSEP inhibitor:   0.991

ADMET: Metabolism

CYP1A2-inhibitor:   0.005 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.114 CYP2C19-substrate:   0.063
CYP2C9-inhibitor:   0.606 CYP2C9-substrate:   0.607
CYP2D6-inhibitor:   0.193 CYP2D6-substrate:   0.019
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.843
CYP2B6-substrate:   0.004 CYP2C8-inhibitor:   0.241
HLM stability:   0.067
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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):  4.585 Half-life (T1/2):  1.665

ADMET: Toxicity

hERG Blockers:  0.048 hERG Blockers (10um):  0.061
Human Hepatotoxicity (H-HT):  0.738 Drug-induced Liver Injury (DILI):  0.848
AMES Toxicity:  0.296 Rat Oral Acute Toxicity:  0.107
Maximum Recommended Daily Dose:  0.26 Skin Sensitization:  0.431
Carcinogencity:  0.49 Eye Corrosion:  0.59
Eye Irritation:  0.991 Respiratory Toxicity:  0.512
Drug-induced Neurotoxicity:  0.275 Ototoxicity:  0.324
Hematotoxicity:  0.309 Drug-induced Nephrotoxicity:  0.484
Genotoxicity:  0.248 RPMI-8226 Immunitoxicity:  0.031
A549 Cytotoxicity:  0.01 Hek293 Cytotoxicity:  0.04
BCF:   0.243
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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:   2.874
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.25
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.501
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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
NPO28392 Macrosiphum liriodendri Species Aphididae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28510 Aspergillus pseudodeflectus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28218 Asplenium adiantum-nigrum Species Aspleniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28036 Distemonanthus benthamianus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28036 Distemonanthus benthamianus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28036 Distemonanthus benthamianus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28036 Distemonanthus benthamianus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28218 Asplenium adiantum-nigrum Species Aspleniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28392 Macrosiphum liriodendri Species Aphididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28510 Aspergillus pseudodeflectus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28036 Distemonanthus benthamianus Species Fabaceae 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
NPT3485 Individual protein Neuraminidase Influenza A virus (strain A/Wilson-Smith/1933 H1N1) (Influenza A virus(strain A/WS/1933 H1N1)) IC50 > 100000.0 nM PMID[22963087]
NPT803 Individual protein Flap endonuclease 1 Homo sapiens Potency n.a. 31622.8 nM PubChem BioAssay data set
NPT4582 Individual protein Transitional endoplasmic reticulum ATPase Homo sapiens IC50 > 30000.0 nM PMID[33476933]
NPT525 Individual protein Hydroxycarboxylic acid receptor 2 Homo sapiens Activity = 7.0 % PMID[21167710]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT113 Cell line RAW264.7 Mus musculus GI50 = 2774000.0 nM DOI[10.1039/C3MD00251A]
NPT65 Cell line HepG2 Homo sapiens CC50 = 503460.0 nM PMID[25847765]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. deltaA = 0.19 n.a. PMID[20565070]
NPT1108 Organism Mycobacterium bovis BCG Mycobacterium bovis BCG MIC = 416000.0 nM DOI[10.1039/C3MD00251A]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 90000.0 nM PMID[27676157]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. CC50 > 90000.0 nM PMID[27676157]
NPT963 Organism Hepatitis B virus Hepatitis B virus IC50 = 526250.0 nM PMID[25847765]
NPT963 Organism Hepatitis B virus Hepatitis B virus IC50 = 433150.0 nM PMID[25847765]
NPT742 Organism Influenza A virus Influenza A virus EC50 > 100000.0 nM PMID[22963087]
NPT2 Others Unspecified n.a. Inhibition = 79.7 % PMID[23682762]
NPT2 Others Unspecified n.a. IC50 = 28800.0 nM PMID[23682762]
NPT1107 Organism Mycobacterium smegmatis str. MC2 155 Mycobacterium smegmatis str. MC2 155 MIC > 600000.0 nM DOI[10.1039/C3MD00251A]
NPT790 Organism Mycobacterium tuberculosis H37Rv Mycobacterium tuberculosis H37Rv MIC = 312000.0 nM DOI[10.1039/C3MD00251A]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 = 1.16 n.a. PMID[25847765]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 = 0.96 n.a. PMID[25847765]

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 NPC57501 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
0.7179 Intermediate Similarity NPC294941
0.6364 Remote Similarity NPC124916
0.6098 Remote Similarity NPC111225
0.6 Remote Similarity NPC127326
0.5833 Remote Similarity NPC37858
0.575 Remote Similarity NPC2518
0.561 Remote Similarity NPC310373
0.5581 Remote Similarity NPC288760
0.5556 Remote Similarity NPC212643

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC57501 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