Natural Product: NPC279573

Natural Product IDNPC279573
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 4''-Hydroxydecursin
IUPAC Name [(3S)-2,2-dimethyl-8-oxo-3,4-dihydropyrano[3,2-g]chromen-3-yl] (E)-4-hydroxy-3-methylbut-2-enoate
Synonyms 4'-Hydroxydecursin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL479697
PubChem CID 11290871
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000145] Coumarins and derivatives
        • [CHEMONTID:0003484] Pyranocoumarins
          • [CHEMONTID:0003486] Linear pyranocoumarins

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 ZANSSGQMUOIRJB-RFKZRZAASA-N
Standard InCHI InChI=1S/C19H20O6/c1-11(10-20)6-18(22)24-16-8-13-7-12-4-5-17(21)23-14(12)9-15(13)25-19(16,2)3/h4-7,9,16,20H,8,10H2,1-3H3/b11-6+/t16-/m0/s1
SMILES OC/C(=C/C(=O)O[C@H]1Cc2cc3ccc(=O)oc3cc2OC1(C)C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   344.13 Volume:   345.797
?
Van der Waals volume.
Dense:   0.995 LogP:   2.088
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.197
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -3.957
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   19.0
TPSA:   85.97
?
Topological Polar Surface Area.
 H-Bond Acceptor:   6.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.523 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.526 Fsp3:   0.368
MCE-18:   64.615
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.383 Fluc inhibitor:   0.661
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.986
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.457
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.083 Promiscuous compounds:   0.191

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.938 MDCK Permeability:   -4.607
Pgp-inhibitor:   0.402 Pgp-substrate:   0.0
PAMPA:   0.277
?
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):   0.005
20% Bioavailability (F20%):   0.935 30% Bioavailability (F30%):   0.944
50% Bioavailability (F50%):   0.929

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   93.622% Volume Distribution (VD):   -0.023
Fu: 6.246%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.008 CYP1A2-substrate:   0.047
CYP2C19-inhibitor:   0.943 CYP2C19-substrate:   0.004
CYP2C9-inhibitor:   0.939 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.31
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.852
CYP2B6-substrate:   0.002 CYP2C8-inhibitor:   0.995
HLM stability:   0.079
?
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):  4.813 Half-life (T1/2):  0.969

ADMET: Toxicity

hERG Blockers:  0.067 hERG Blockers (10um):  0.212
Human Hepatotoxicity (H-HT):  0.68 Drug-induced Liver Injury (DILI):  0.886
AMES Toxicity:  0.584 Rat Oral Acute Toxicity:  0.479
Maximum Recommended Daily Dose:  0.838 Skin Sensitization:  0.837
Carcinogencity:  0.789 Eye Corrosion:  0.027
Eye Irritation:  0.941 Respiratory Toxicity:  0.716
Drug-induced Neurotoxicity:  0.433 Ototoxicity:  0.271
Hematotoxicity:  0.205 Drug-induced Nephrotoxicity:  0.595
Genotoxicity:  0.95 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.095 Hek293 Cytotoxicity:  0.391
BCF:   0.953
?
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:   3.64
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.87
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   5.069
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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
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. root n.a. PMID[11374978]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[15679317]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. root n.a. PMID[17997069]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO11438 Angelica gigas Species Apiaceae 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
NPT2 Others Unspecified n.a. Activity = 38.4 % PMID[16562847]
NPT2 Others Unspecified n.a. Activity = 34.1 % PubChem BioAssay data set
NPT2 Others Unspecified n.a. Activity = 35.1 % PMID[18329753]

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 NPC279573 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
0.8594 High Similarity NPC207002
0.8594 High Similarity NPC133956
0.8088 Intermediate Similarity NPC211110
0.75 Intermediate Similarity NPC47163
0.7206 Intermediate Similarity NPC119640
0.7206 Intermediate Similarity NPC183646
0.5867 Remote Similarity NPC14248
0.5507 Remote Similarity NPC253574
0.5507 Remote Similarity NPC98179
0.5455 Remote Similarity NPC7526
0.5455 Remote Similarity NPC222036
0.5429 Remote Similarity NPC78746
0.5286 Remote Similarity NPC234109
0.5286 Remote Similarity NPC188327
0.5143 Remote Similarity NPC111347
0.5065 Remote Similarity NPC260265

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC279573 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