Natural Product: NPC560917

Natural Product IDNPC560917
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-(2,4-dihydroxyphenyl)-5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 3-(2,4-dihydroxyphenyl)-5-hydroxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 VYYHGKQKCBDQKO-FZHKGVQDSA-N
Standard InCHI InChI=1S/C21H20O11/c22-6-15-18(27)19(28)20(29)21(32-15)31-9-4-13(25)16-14(5-9)30-7-11(17(16)26)10-2-1-8(23)3-12(10)24/h1-5,7,15,18-25,27-29H,6H2/t15-,18+,19-,20+,21+/m0/s1
SMILES O=C1C(C2=CC=C(O)C=C2O)=COC2=CC(O[C@@H]3O[C@@H](CO)[C@@H](O)[C@H](O)[C@H]3O)=CC(O)=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   448.1 Volume:   413.147
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Van der Waals volume.
Dense:   1.085 LogP:   0.584
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.184
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.31
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   190.28
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.279 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.005 Fsp3:   0.286
MCE-18:   87.63
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.598 Fluc inhibitor:   0.296
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.854
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.73
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.283 Promiscuous compounds:   0.533

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.434 MDCK Permeability:   -5.024
Pgp-inhibitor:   0.0 Pgp-substrate:   0.434
PAMPA:   0.999
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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):   0.224
20% Bioavailability (F20%):   0.476 30% Bioavailability (F30%):   0.958
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.41
Plasma Protein Binding (PPB):   85.83% Volume Distribution (VD):   -0.117
Fu: 15.568%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.898
OATP1B3 inhibitor:   0.99 BCRP inhibitor:   0.524
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.04 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.092
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.006
HLM stability:   0.001
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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):  1.756 Half-life (T1/2):  3.698

ADMET: Toxicity

hERG Blockers:  0.019 hERG Blockers (10um):  0.229
Human Hepatotoxicity (H-HT):  0.556 Drug-induced Liver Injury (DILI):  0.878
AMES Toxicity:  0.808 Rat Oral Acute Toxicity:  0.084
Maximum Recommended Daily Dose:  0.085 Skin Sensitization:  0.948
Carcinogencity:  0.16 Eye Corrosion:  0.0
Eye Irritation:  0.66 Respiratory Toxicity:  0.041
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.84
Hematotoxicity:  0.062 Drug-induced Nephrotoxicity:  0.528
Genotoxicity:  0.972 RPMI-8226 Immunitoxicity:  0.108
A549 Cytotoxicity:  0.271 Hek293 Cytotoxicity:  0.38
BCF:   0.455
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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:   2.995
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.356
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.604
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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
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.jarmap.2018.11.004]
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24342 Lupinus albus Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24342 Lupinus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24342 Lupinus albus 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

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 NPC560917 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
1.0 High Similarity NPC80140
0.8472 Intermediate Similarity NPC234739
0.8375 Intermediate Similarity NPC479403
0.8219 Intermediate Similarity NPC197896
0.8219 Intermediate Similarity NPC313163
0.7468 Intermediate Similarity NPC479406
0.7308 Intermediate Similarity NPC138540
0.7179 Intermediate Similarity NPC73511
0.6941 Remote Similarity NPC479405
0.6923 Remote Similarity NPC348541
0.686 Remote Similarity NPC479404
0.662 Remote Similarity NPC90665
0.6585 Remote Similarity NPC307938
0.642 Remote Similarity NPC156457
0.6386 Remote Similarity NPC479402
0.6375 Remote Similarity NPC160515
0.6265 Remote Similarity NPC205076
0.622 Remote Similarity NPC161749
0.619 Remote Similarity NPC479401
0.6098 Remote Similarity NPC39360
0.6098 Remote Similarity NPC29763
0.6098 Remote Similarity NPC210003
0.6071 Remote Similarity NPC100720
0.6024 Remote Similarity NPC297987
0.6024 Remote Similarity NPC323593
0.6024 Remote Similarity NPC203500
0.6 Remote Similarity NPC303913
0.5833 Remote Similarity NPC105511
0.5823 Remote Similarity NPC191154
0.5814 Remote Similarity NPC481043
0.5714 Remote Similarity NPC289667
0.5714 Remote Similarity NPC261866
0.5682 Remote Similarity NPC116458
0.5682 Remote Similarity NPC246943
0.5667 Remote Similarity NPC487212
0.5647 Remote Similarity NPC95090
0.5647 Remote Similarity NPC258035
0.5647 Remote Similarity NPC277205
0.5647 Remote Similarity NPC27408
0.5647 Remote Similarity NPC37919
0.5647 Remote Similarity NPC136042
0.5647 Remote Similarity NPC189142
0.5647 Remote Similarity NPC77660
0.5632 Remote Similarity NPC224462
0.5618 Remote Similarity NPC48773
0.5581 Remote Similarity NPC84362
0.5568 Remote Similarity NPC610187
0.5556 Remote Similarity NPC134819
0.5506 Remote Similarity NPC307518
0.5455 Remote Similarity NPC285197
0.5444 Remote Similarity NPC479407
0.5412 Remote Similarity NPC45165
0.5393 Remote Similarity NPC22832
0.5393 Remote Similarity NPC243930
0.5393 Remote Similarity NPC229729
0.5393 Remote Similarity NPC601144
0.5368 Remote Similarity NPC64425
0.5333 Remote Similarity NPC311830
0.5333 Remote Similarity NPC605784
0.5244 Remote Similarity NPC78697
0.5233 Remote Similarity NPC135345
0.5222 Remote Similarity NPC486578
0.5172 Remote Similarity NPC211014
0.5165 Remote Similarity NPC607707
0.5161 Remote Similarity NPC251417
0.5132 Remote Similarity NPC303644
0.5114 Remote Similarity NPC487213
0.5109 Remote Similarity NPC601586
0.5102 Remote Similarity NPC35119
0.5057 Remote Similarity NPC331652
0.5056 Remote Similarity NPC22195
0.5056 Remote Similarity NPC21190
0.5055 Remote Similarity NPC601607

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC560917 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
0.622 Remote Similarity NPD4381 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