Natural Product: NPC482708

Natural Product IDNPC482708
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YILAAXGKDIEKEW-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0001612] Isoflavans
          • [CHEMONTID:0001827] Isoflavanones
            • [CHEMONTID:0003526] 6-prenylated isoflavanones

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 YILAAXGKDIEKEW-UHFFFAOYSA-N
Standard InCHI InChI=1S/C21H20O7/c1-10(2)4-5-12-16(27-3)8-17-19(20(12)25)21(26)13(9-28-17)18-14(23)6-11(22)7-15(18)24/h4,6-9,22-25H,5H2,1-3H3
SMILES CC(=CCc1c(cc2c(c1O)c(=O)c(co2)c1c(cc(cc1O)O)O)OC)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   384.12 Volume:   383.906
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Van der Waals volume.
Dense:   1.001 LogP:   3.441
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.004
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.371
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   19.0
TPSA:   120.36
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.505 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.982 Fsp3:   0.19
MCE-18:   21.0
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.751 Fluc inhibitor:   0.383
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.869
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.597
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.304 Promiscuous compounds:   0.128

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.233 MDCK Permeability:   -4.855
Pgp-inhibitor:   0.31 Pgp-substrate:   0.019
PAMPA:   0.199
?
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%):   0.504 30% Bioavailability (F30%):   0.953
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.934
Plasma Protein Binding (PPB):   94.164% Volume Distribution (VD):   0.239
Fu: 5.325%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.994
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.941
BSEP inhibitor:   0.181

ADMET: Metabolism

CYP1A2-inhibitor:   0.854 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.03 CYP2C19-substrate:   0.957
CYP2C9-inhibitor:   0.997 CYP2C9-substrate:   0.593
CYP2D6-inhibitor:   0.989 CYP2D6-substrate:   0.939
CYP3A4-inhibitor:   0.006 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.97
HLM stability:   0.969
?
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):  5.274 Half-life (T1/2):  1.309

ADMET: Toxicity

hERG Blockers:  0.047 hERG Blockers (10um):  0.525
Human Hepatotoxicity (H-HT):  0.558 Drug-induced Liver Injury (DILI):  0.512
AMES Toxicity:  0.613 Rat Oral Acute Toxicity:  0.74
Maximum Recommended Daily Dose:  0.816 Skin Sensitization:  0.829
Carcinogencity:  0.479 Eye Corrosion:  0.0
Eye Irritation:  0.908 Respiratory Toxicity:  0.907
Drug-induced Neurotoxicity:  0.234 Ototoxicity:  0.314
Hematotoxicity:  0.125 Drug-induced Nephrotoxicity:  0.33
Genotoxicity:  0.964 RPMI-8226 Immunitoxicity:  0.119
A549 Cytotoxicity:  0.598 Hek293 Cytotoxicity:  0.732
BCF:   1.63
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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:   4.169
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.876
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.074
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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
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[21123068]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[28522265]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[29641206]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1698 Glycyrrhiza inflata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1698 Glycyrrhiza inflata 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens Inhibition = 3.0 % PMID[28522265]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT83 Cell line MCF7 Homo sapiens GI = 19.0 % PMID[28522265]
NPT660 Cell line SW480 Homo sapiens GI = 35.0 % PMID[28522265]
NPT65 Cell line HepG2 Homo sapiens GI = 12.0 % PMID[28522265]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 12.0 % PMID[28522265]
NPT2 Others Unspecified n.a. Inhibition = 11.0 % PMID[28522265]
NPT2 Others Unspecified n.a. Inhibition = 0.0 % PMID[28522265]

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 NPC482708 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
0.8095 Intermediate Similarity NPC26051
0.7619 Intermediate Similarity NPC219917
0.5692 Remote Similarity NPC174999
0.5571 Remote Similarity NPC266499
0.5479 Remote Similarity NPC134287
0.5405 Remote Similarity NPC253822
0.5342 Remote Similarity NPC233918
0.5342 Remote Similarity NPC168085
0.5278 Remote Similarity NPC268204
0.5211 Remote Similarity NPC165977
0.5205 Remote Similarity NPC40942
0.5139 Remote Similarity NPC14353
0.5139 Remote Similarity NPC56085
0.5135 Remote Similarity NPC268059
0.5132 Remote Similarity NPC84124
0.5068 Remote Similarity NPC152951
0.5068 Remote Similarity NPC604618
0.5067 Remote Similarity NPC128774
0.5067 Remote Similarity NPC247677

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC482708 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