Natural Product: NPC261234

Natural Product IDNPC261234
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(R)-7-Hydroxy-3-(4-Hydroxybenzyl)Chroman-4-One
IUPAC Name (3R)-7-hydroxy-3-[(4-hydroxyphenyl)methyl]-2,3-dihydrochromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1080977
PubChem CID 26088034
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002507] Homoisoflavonoids
        • [CHEMONTID:0002508] Homoisoflavans
          • [CHEMONTID:0002898] Homoisoflavanones

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 KKCLNMWDNUQXPP-LLVKDONJSA-N
Standard InCHI InChI=1S/C16H14O4/c17-12-3-1-10(2-4-12)7-11-9-20-15-8-13(18)5-6-14(15)16(11)19/h1-6,8,11,17-18H,7,9H2/t11-/m1/s1
SMILES Oc1ccc(cc1)C[C@@H]1COc2c(C1=O)ccc(c2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   270.09 Volume:   276.329
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Van der Waals volume.
Dense:   0.977 LogP:   2.229
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.364
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.972
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   18.0
TPSA:   66.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   3.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.88 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.727 Fsp3:   0.188
MCE-18:   51.368
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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:   0.315 Fluc inhibitor:   0.929
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.19
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.196
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.559 Promiscuous compounds:   0.169

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.942 MDCK Permeability:   -4.735
Pgp-inhibitor:   0.011 Pgp-substrate:   0.232
PAMPA:   0.536
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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):   0.0
20% Bioavailability (F20%):   0.702 30% Bioavailability (F30%):   0.109
50% Bioavailability (F50%):   0.692

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.013 MRP1:   0.899
Plasma Protein Binding (PPB):   91.29% Volume Distribution (VD):   -0.252
Fu: 12.208%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.994
OATP1B3 inhibitor:   0.98 BCRP inhibitor:   0.194
BSEP inhibitor:   0.979

ADMET: Metabolism

CYP1A2-inhibitor:   0.905 CYP1A2-substrate:   0.847
CYP2C19-inhibitor:   0.339 CYP2C19-substrate:   0.595
CYP2C9-inhibitor:   0.378 CYP2C9-substrate:   0.064
CYP2D6-inhibitor:   0.997 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.18 CYP3A4-substrate:   0.109
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.994
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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):  6.474 Half-life (T1/2):  1.482

ADMET: Toxicity

hERG Blockers:  0.172 hERG Blockers (10um):  0.666
Human Hepatotoxicity (H-HT):  0.774 Drug-induced Liver Injury (DILI):  0.344
AMES Toxicity:  0.73 Rat Oral Acute Toxicity:  0.349
Maximum Recommended Daily Dose:  0.623 Skin Sensitization:  0.896
Carcinogencity:  0.738 Eye Corrosion:  0.212
Eye Irritation:  0.998 Respiratory Toxicity:  0.249
Drug-induced Neurotoxicity:  0.603 Ototoxicity:  0.204
Hematotoxicity:  0.132 Drug-induced Nephrotoxicity:  0.268
Genotoxicity:  0.987 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.132 Hek293 Cytotoxicity:  0.707
BCF:   1.192
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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:   3.87
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.543
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.218
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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
NPO20812 Soymida febrifuga Species Meliaceae Eukaryota n.a. Myanmar n.a. PMID[19689125]
NPO20812 Soymida febrifuga Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20812 Soymida febrifuga Species Meliaceae 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
NPT81 Cell line A549 Homo sapiens IC50 > 100000.0 nM PMID[24164206]
NPT453 Cell line HT-1080 Homo sapiens IC50 > 100000.0 nM DOI[10.6019/CHEMBL1201861]
NPT461 Cell line PANC-1 Homo sapiens PC50 > 100.0 uM PMID[19689125]
NPT165 Cell line HeLa Homo sapiens IC50 > 100000.0 nM PMID[17420206]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 69300.0 nM PMID[19689125]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 99600.0 nM PMID[19689125]

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 NPC261234 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
0.8298 Intermediate Similarity NPC105512
0.7143 Intermediate Similarity NPC170468
0.7 Intermediate Similarity NPC118813
0.6415 Remote Similarity NPC284550
0.6296 Remote Similarity NPC96167
0.6111 Remote Similarity NPC472909
0.6 Remote Similarity NPC472910
0.6 Remote Similarity NPC472913
0.6 Remote Similarity NPC245758
0.5818 Remote Similarity NPC235640
0.58 Remote Similarity NPC54972
0.5741 Remote Similarity NPC482967
0.5714 Remote Similarity NPC3036
0.5536 Remote Similarity NPC129853
0.5536 Remote Similarity NPC76445
0.5472 Remote Similarity NPC229190
0.5439 Remote Similarity NPC269176
0.5079 Remote Similarity NPC482961

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC261234 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