Natural Product: NPC539653

Natural Product IDNPC539653
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
7-hydroxy-8-[(2~{S},3~{S},4~{R},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]-3-[4-[(2~{R},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxyphenyl]chromen-4-one
IUPAC Name 7-hydroxy-8-[(2~{S},3~{S},4~{R},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]-3-[4-[(2~{R},3~{S},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxyphenyl]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 GZFMKWZQYRIRBD-YLHZMVMQSA-N
Standard InCHI InChI=1S/C27H30O14/c28-7-15-19(32)21(34)23(36)26(40-15)17-14(30)6-5-12-18(31)13(9-38-25(12)17)10-1-3-11(4-2-10)39-27-24(37)22(35)20(33)16(8-29)41-27/h1-6,9,15-16,19-24,26-30,32-37H,7-8H2/t15-,16-,19+,20-,21-,22+,23-,24-,26-,27-/m0/s1
SMILES O=C1C(C2=CC=C(O[C@H]3O[C@@H](CO)[C@H](O)[C@@H](O)[C@@H]3O)C=C2)=COC2=C([C@@H]3O[C@@H](CO)[C@@H](O)[C@H](O)[C@@H]3O)C(O)=CC=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   578.16 Volume:   534.737
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Van der Waals volume.
Dense:   1.081 LogP:   -1.269
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.005
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.829
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   30.0
TPSA:   239.97
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.152 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.609 Fsp3:   0.444
MCE-18:   115.923
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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:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.669 Fluc inhibitor:   0.213
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.934
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.44
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.319 Promiscuous compounds:   0.297

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.827 MDCK Permeability:   -4.953
Pgp-inhibitor:   0.0 Pgp-substrate:   0.627
PAMPA:   1.0
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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):   1.0
20% Bioavailability (F20%):   0.961 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.143
Plasma Protein Binding (PPB):   80.534% Volume Distribution (VD):   -0.079
Fu: 19.801%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.724
OATP1B3 inhibitor:   0.973 BCRP inhibitor:   0.007
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.441 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.993
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.002
?
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):  1.436 Half-life (T1/2):  3.63

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.096
Human Hepatotoxicity (H-HT):  0.723 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.953 Rat Oral Acute Toxicity:  0.028
Maximum Recommended Daily Dose:  0.006 Skin Sensitization:  0.991
Carcinogencity:  0.041 Eye Corrosion:  0.0
Eye Irritation:  0.033 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.985
Hematotoxicity:  0.3 Drug-induced Nephrotoxicity:  0.97
Genotoxicity:  0.61 RPMI-8226 Immunitoxicity:  0.383
A549 Cytotoxicity:  0.727 Hek293 Cytotoxicity:  0.136
BCF:   0.507
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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:   3.251
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.065
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.024
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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
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28089 Pueraria pseudohirsuta Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8707.1 Pueraria montana var. lobata Varieties Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28089 Pueraria pseudohirsuta Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8707.1 Pueraria montana var. lobata Varieties 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 NPC539653 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
0.7342 Intermediate Similarity NPC124478
0.6667 Remote Similarity NPC258035
0.6092 Remote Similarity NPC161749
0.6092 Remote Similarity NPC603782
0.6047 Remote Similarity NPC45165
0.5862 Remote Similarity NPC135345
0.5745 Remote Similarity NPC607879
0.573 Remote Similarity NPC156457
0.5682 Remote Similarity NPC177308
0.5667 Remote Similarity NPC73511
0.5652 Remote Similarity NPC229729
0.5556 Remote Similarity NPC105511
0.5521 Remote Similarity NPC603300
0.5341 Remote Similarity NPC25547
0.5319 Remote Similarity NPC601607
0.5269 Remote Similarity NPC205076
0.5217 Remote Similarity NPC197896
0.5217 Remote Similarity NPC313163
0.5109 Remote Similarity NPC211014
0.5106 Remote Similarity NPC100720
0.5104 Remote Similarity NPC307518

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC539653 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
0.7342 Intermediate Similarity NPD4380 Phase 2
0.6092 Remote Similarity NPD4381 Clinical (unspecified phase)
0.5165 Remote Similarity NPD3818 Discontinued

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