Natural Product: NPC12296

Natural Product IDNPC12296
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2S)-2',5,6',7-Tetrahydroxyflavanone
IUPAC Name (2S)-2-(2,6-dihydroxyphenyl)-5,7-dihydroxy-2,3-dihydrochromen-4-one
Synonyms (2S)-2',5,6',7-Tetrahydroxyflavanone
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465691
PubChem CID 157671
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0001632] Flavanones

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 TWELZOKMSAJRKP-ZDUSSCGKSA-N
Standard InCHI InChI=1S/C15H12O6/c16-7-4-10(19)15-11(20)6-13(21-12(15)5-7)14-8(17)2-1-3-9(14)18/h1-5,13,16-19H,6H2/t13-/m0/s1
SMILES Oc1cc2O[C@@H](CC(=O)c2c(c1)O)c1c(O)cccc1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   288.06 Volume:   276.613
?
Van der Waals volume.
Dense:   1.041 LogP:   2.238
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.416
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.665
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   18.0
TPSA:   107.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.641 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.116 Fsp3:   0.133
MCE-18:   58.235
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.642 Fluc inhibitor:   0.756
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.369
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.178
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.472 Promiscuous compounds:   0.094

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.213 MDCK Permeability:   -4.803
Pgp-inhibitor:   0.095 Pgp-substrate:   0.21
PAMPA:   0.566
?
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):   0.026
20% Bioavailability (F20%):   0.38 30% Bioavailability (F30%):   0.957
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.029 MRP1:   0.82
Plasma Protein Binding (PPB):   92.218% Volume Distribution (VD):   0.118
Fu: 9.003%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.908
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.869
BSEP inhibitor:   0.316

ADMET: Metabolism

CYP1A2-inhibitor:   0.998 CYP1A2-substrate:   0.165
CYP2C19-inhibitor:   0.005 CYP2C19-substrate:   0.986
CYP2C9-inhibitor:   0.977 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.999 CYP2D6-substrate:   0.985
CYP3A4-inhibitor:   0.849 CYP3A4-substrate:   0.198
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.335
HLM stability:   0.922
?
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):  3.331 Half-life (T1/2):  1.593

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.468
Human Hepatotoxicity (H-HT):  0.826 Drug-induced Liver Injury (DILI):  0.247
AMES Toxicity:  0.789 Rat Oral Acute Toxicity:  0.62
Maximum Recommended Daily Dose:  0.845 Skin Sensitization:  0.939
Carcinogencity:  0.457 Eye Corrosion:  0.002
Eye Irritation:  0.996 Respiratory Toxicity:  0.449
Drug-induced Neurotoxicity:  0.208 Ototoxicity:  0.23
Hematotoxicity:  0.05 Drug-induced Nephrotoxicity:  0.544
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.184
A549 Cytotoxicity:  0.783 Hek293 Cytotoxicity:  0.878
BCF:   1.202
?
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:   3.645
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.677
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.973
?
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
NPO29667 Scutellariae radix n.a. n.a. n.a. n.a. n.a. n.a. PMID[9214730]

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
NPT1644 Protein family Trypsin Homo sapiens IC50 > 1000000.0 nM PMID[12713403]

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 NPC12296 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
0.75 Intermediate Similarity NPC107586
0.7083 Intermediate Similarity NPC295261
0.7083 Intermediate Similarity NPC32441
0.7083 Intermediate Similarity NPC243083
0.7083 Intermediate Similarity NPC13768
0.7083 Intermediate Similarity NPC296490
0.7083 Intermediate Similarity NPC287246
0.7083 Intermediate Similarity NPC79943
0.6875 Remote Similarity NPC182421
0.6667 Remote Similarity NPC321011
0.6667 Remote Similarity NPC294852
0.6667 Remote Similarity NPC188679
0.6471 Remote Similarity NPC274784
0.6471 Remote Similarity NPC338131
0.6471 Remote Similarity NPC20709
0.6182 Remote Similarity NPC236637
0.6111 Remote Similarity NPC302950
0.5962 Remote Similarity NPC208176
0.5862 Remote Similarity NPC477841
0.5789 Remote Similarity NPC258630
0.5763 Remote Similarity NPC109223
0.5763 Remote Similarity NPC10937
0.55 Remote Similarity NPC17170
0.541 Remote Similarity NPC106976
0.5357 Remote Similarity NPC310135
0.5323 Remote Similarity NPC108456
0.5323 Remote Similarity NPC174953
0.5323 Remote Similarity NPC85121
0.5312 Remote Similarity NPC88964
0.5312 Remote Similarity NPC611447
0.5306 Remote Similarity NPC482958
0.5238 Remote Similarity NPC134783
0.5185 Remote Similarity NPC472460
0.5156 Remote Similarity NPC470890
0.5156 Remote Similarity NPC312973
0.5156 Remote Similarity NPC200761
0.5156 Remote Similarity NPC475790
0.5077 Remote Similarity NPC473990

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC12296 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
0.7083 Intermediate Similarity NPD1550 Phase 2
0.7083 Intermediate Similarity NPD1552 Clinical (unspecified phase)
0.6111 Remote Similarity NPD1934 Phase 0

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