Natural Product: NPC548009

Natural Product IDNPC548009
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-2-(4-hydroxyphenyl)-8,8-dimethyl-3-[(2~{S},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-pyrano[2,3-h]chromen-4-one
IUPAC Name 5-hydroxy-2-(4-hydroxyphenyl)-8,8-dimethyl-3-[(2~{S},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-pyrano[2,3-h]chromen-4-one
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:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003531] Flavonoid-3-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 FRKNVAWDQIICIE-QJAGZXCNSA-N
Standard InCHI InChI=1S/C26H26O10/c1-11-18(29)20(31)21(32)25(33-11)35-24-19(30)17-15(28)10-16-14(8-9-26(2,3)36-16)23(17)34-22(24)12-4-6-13(27)7-5-12/h4-11,18,20-21,25,27-29,31-32H,1-3H3/t11-,18-,20+,21-,25-/m0/s1
SMILES C[C@@H]1O[C@@H](OC2=C(C3=CC=C(O)C=C3)OC3=C4C=CC(C)(C)OC4=CC(O)=C3C2=O)[C@@H](O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   498.15 Volume:   479.644
?
Van der Waals volume.
Dense:   1.039 LogP:   2.97
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.71
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.222
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   29.0
TPSA:   159.05
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   5.0 Rings:   5.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.363 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.314 Fsp3:   0.346
MCE-18:   110.314
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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:   0.69 Fluc inhibitor:   0.31
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.897
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.872
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.113 Promiscuous compounds:   0.247

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.828 MDCK Permeability:   -5.001
Pgp-inhibitor:   0.012 Pgp-substrate:   0.209
PAMPA:   0.988
?
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%):   0.292 30% Bioavailability (F30%):   0.972
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.198
Plasma Protein Binding (PPB):   94.676% Volume Distribution (VD):   -0.043
Fu: 4.589%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.982 BCRP inhibitor:   0.682
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.364
CYP3A4-inhibitor:   0.009 CYP3A4-substrate:   0.75
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.944
?
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):  3.085 Half-life (T1/2):  3.827

ADMET: Toxicity

hERG Blockers:  0.058 hERG Blockers (10um):  0.487
Human Hepatotoxicity (H-HT):  0.412 Drug-induced Liver Injury (DILI):  0.803
AMES Toxicity:  0.588 Rat Oral Acute Toxicity:  0.215
Maximum Recommended Daily Dose:  0.341 Skin Sensitization:  0.863
Carcinogencity:  0.207 Eye Corrosion:  0.0
Eye Irritation:  0.503 Respiratory Toxicity:  0.172
Drug-induced Neurotoxicity:  0.03 Ototoxicity:  0.802
Hematotoxicity:  0.082 Drug-induced Nephrotoxicity:  0.328
Genotoxicity:  0.489 RPMI-8226 Immunitoxicity:  0.112
A549 Cytotoxicity:  0.109 Hek293 Cytotoxicity:  0.417
BCF:   1.204
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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:   3.802
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.214
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.621
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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
NPO19403 Epimedium grandiflorum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13384 Epimedium sempervirens Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19403 Epimedium grandiflorum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19403 Epimedium grandiflorum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19403 Epimedium grandiflorum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13384 Epimedium sempervirens Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13384 Epimedium sempervirens Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19403 Epimedium grandiflorum Species Berberidaceae 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

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 NPC548009 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
0.6548 Remote Similarity NPC249281
0.6404 Remote Similarity NPC66087
0.6395 Remote Similarity NPC46420
0.6292 Remote Similarity NPC116458
0.6292 Remote Similarity NPC246943
0.6235 Remote Similarity NPC111929
0.6235 Remote Similarity NPC320283
0.6235 Remote Similarity NPC41121
0.6082 Remote Similarity NPC5319
0.6044 Remote Similarity NPC276377
0.5816 Remote Similarity NPC72016
0.5783 Remote Similarity NPC293852
0.5778 Remote Similarity NPC59534
0.573 Remote Similarity NPC297987
0.5729 Remote Similarity NPC150164
0.5714 Remote Similarity NPC166757
0.567 Remote Similarity NPC186816
0.5667 Remote Similarity NPC271692
0.5618 Remote Similarity NPC127546
0.5618 Remote Similarity NPC57625
0.5618 Remote Similarity NPC173637
0.5618 Remote Similarity NPC317489
0.5618 Remote Similarity NPC223424
0.5618 Remote Similarity NPC600591
0.5591 Remote Similarity NPC605784
0.5444 Remote Similarity NPC77672
0.5444 Remote Similarity NPC133671
0.5444 Remote Similarity NPC135391
0.5444 Remote Similarity NPC78263
0.5444 Remote Similarity NPC250069
0.5417 Remote Similarity NPC278419
0.5417 Remote Similarity NPC179198
0.5385 Remote Similarity NPC8573
0.5361 Remote Similarity NPC480466
0.5347 Remote Similarity NPC32641
0.5347 Remote Similarity NPC256188
0.5347 Remote Similarity NPC35119
0.5333 Remote Similarity NPC331652
0.5326 Remote Similarity NPC349108
0.5319 Remote Similarity NPC478514
0.5312 Remote Similarity NPC265115
0.5306 Remote Similarity NPC173582
0.5306 Remote Similarity NPC265885
0.5306 Remote Similarity NPC181465
0.5306 Remote Similarity NPC215710
0.5306 Remote Similarity NPC473438
0.5306 Remote Similarity NPC253788
0.5275 Remote Similarity NPC476405
0.5275 Remote Similarity NPC108831
0.5275 Remote Similarity NPC182634
0.5263 Remote Similarity NPC223747
0.5217 Remote Similarity NPC158674
0.5213 Remote Similarity NPC611303
0.5172 Remote Similarity NPC170492
0.5165 Remote Similarity NPC135599
0.5165 Remote Similarity NPC73855
0.5165 Remote Similarity NPC113968
0.5165 Remote Similarity NPC328940
0.5165 Remote Similarity NPC277174
0.5165 Remote Similarity NPC606877
0.5161 Remote Similarity NPC305811
0.5161 Remote Similarity NPC24043
0.5161 Remote Similarity NPC27640
0.5161 Remote Similarity NPC488080
0.5161 Remote Similarity NPC169977
0.5146 Remote Similarity NPC64755
0.5111 Remote Similarity NPC288084
0.5102 Remote Similarity NPC251417
0.51 Remote Similarity NPC65563
0.51 Remote Similarity NPC470949
0.5054 Remote Similarity NPC265530
0.5054 Remote Similarity NPC136042
0.5053 Remote Similarity NPC168584
0.5053 Remote Similarity NPC219904
0.505 Remote Similarity NPC473571
0.505 Remote Similarity NPC110941

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC548009 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
0.6082 Remote Similarity NPD7804 Clinical (unspecified phase)

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