Natural Product: NPC6985

Natural Product IDNPC6985
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 2',4,6'-Trihydroxy-4'-Methoxydihydrochalcone 2'-O-Beta-D-Ribohexo-3-Ulopyranoside
IUPAC Name (2S,3S,5R,6R)-3,5-dihydroxy-2-[3-hydroxy-2-[3-(4-hydroxyphenyl)propanoyl]-5-methoxyphenoxy]-6-(hydroxymethyl)oxan-4-one
Synonyms Asebogenin 2'-O-beta-D-ribohexo-3-ulopyranoside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL482049
PubChem CID 11247865
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides

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 NTMBWMBWUUMBLE-JHMKDJTOSA-N
Standard InCHI InChI=1S/C22H24O10/c1-30-13-8-15(26)18(14(25)7-4-11-2-5-12(24)6-3-11)16(9-13)31-22-21(29)20(28)19(27)17(10-23)32-22/h2-3,5-6,8-9,17,19,21-24,26-27,29H,4,7,10H2,1H3/t17-,19-,21-,22-/m1/s1
SMILES COc1cc(c(C(=O)CCc2ccc(cc2)O)c(c1)O[C@H]1[C@@H](C(=O)[C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   448.14 Volume:   430.209
?
Van der Waals volume.
Dense:   1.042 LogP:   0.869
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.462
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.805
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   20.0
TPSA:   162.98
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Topological Polar Surface Area.
 H-Bond Acceptor:   10.0
H-Bond Donor:   5.0 Rings:   3.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.355 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.86 Fsp3:   0.364
MCE-18:   68.6
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.553 Fluc inhibitor:   0.258
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.108
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.47
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.106 Promiscuous compounds:   0.283

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.767 MDCK Permeability:   -4.91
Pgp-inhibitor:   0.401 Pgp-substrate:   0.066
PAMPA:   0.775
?
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):   0.003
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.815
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.037
Plasma Protein Binding (PPB):   88.232% Volume Distribution (VD):   0.299
Fu: 13.591%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.372
BSEP inhibitor:   0.992

ADMET: Metabolism

CYP1A2-inhibitor:   0.058 CYP1A2-substrate:   0.031
CYP2C19-inhibitor:   0.093 CYP2C19-substrate:   0.112
CYP2C9-inhibitor:   0.047 CYP2C9-substrate:   0.175
CYP2D6-inhibitor:   0.083 CYP2D6-substrate:   0.955
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.966
?
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):  5.281 Half-life (T1/2):  2.872

ADMET: Toxicity

hERG Blockers:  0.041 hERG Blockers (10um):  0.107
Human Hepatotoxicity (H-HT):  0.694 Drug-induced Liver Injury (DILI):  0.623
AMES Toxicity:  0.831 Rat Oral Acute Toxicity:  0.043
Maximum Recommended Daily Dose:  0.071 Skin Sensitization:  0.994
Carcinogencity:  0.283 Eye Corrosion:  0.0
Eye Irritation:  0.233 Respiratory Toxicity:  0.135
Drug-induced Neurotoxicity:  0.209 Ototoxicity:  0.874
Hematotoxicity:  0.538 Drug-induced Nephrotoxicity:  0.779
Genotoxicity:  0.923 RPMI-8226 Immunitoxicity:  0.106
A549 Cytotoxicity:  0.371 Hek293 Cytotoxicity:  0.581
BCF:   0.731
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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:   3.396
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.919
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   4.107
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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
NPO13961 Pieris japonica Species Ericaceae Eukaryota leaves n.a. n.a. PMID[15787442]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. leaf n.a. PMID[15787442]
NPO13961 Pieris japonica Species Ericaceae Eukaryota Leaves n.a. n.a. PMID[31809052]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13961 Pieris japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13961 Pieris japonica Species Ericaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 16.41 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 35.0 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 34.21 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 32.04 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 26.73 10'-3cpm PMID[15787442]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 38.28 10'-3cpm PMID[15787442]

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 NPC6985 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
0.7714 Intermediate Similarity NPC106625
0.6623 Remote Similarity NPC127406
0.6579 Remote Similarity NPC300537
0.6349 Remote Similarity NPC18877
0.6053 Remote Similarity NPC259182
0.6027 Remote Similarity NPC121001
0.5385 Remote Similarity NPC148273
0.5309 Remote Similarity NPC257963
0.5303 Remote Similarity NPC144051
0.5303 Remote Similarity NPC286336
0.5231 Remote Similarity NPC82225
0.5224 Remote Similarity NPC28753
0.5065 Remote Similarity NPC479374
0.5063 Remote Similarity NPC99233

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC6985 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