Natural Product: NPC594550

Natural Product IDNPC594550
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S})-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-6-[[(2~{S},3~{R},4~{S},5~{S})-3,4-dihydroxy-5-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-methoxyphenyl)chroman-4-one
IUPAC Name (2~{S})-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-6-[[(2~{S},3~{R},4~{S},5~{S})-3,4-dihydroxy-5-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-2-(4-methoxyphenyl)chroman-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 DVGAUVZPQOOYFU-GKPDQTJPSA-N
Standard InCHI InChI=1S/C27H32O14/c1-36-12-4-2-11(3-5-12)16-8-15(30)20-14(29)6-13(7-17(20)39-16)38-27-25(35)23(33)22(32)19(41-27)10-37-26-24(34)21(31)18(9-28)40-26/h2-7,16,18-19,21-29,31-35H,8-10H2,1H3/t16-,18-,19+,21+,22+,23-,24+,25+,26-,27+/m0/s1
SMILES COC1=CC=C([C@@H]2CC(=O)C3=C(O)C=C(O[C@@H]4O[C@H](CO[C@H]5O[C@@H](CO)[C@@H](O)[C@H]5O)[C@@H](O)[C@H](O)[C@H]4O)C=C3O2)C=C1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   580.18 Volume:   537.374
?
Van der Waals volume.
Dense:   1.08 LogP:   0.874
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.499
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.399
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   29.0
TPSA:   214.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   7.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.194 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.582 Fsp3:   0.519
MCE-18:   113.171
?
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:   0.593 Fluc inhibitor:   0.536
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.098
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.395
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.075 Promiscuous compounds:   0.329

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.625 MDCK Permeability:   -5.203
Pgp-inhibitor:   0.015 Pgp-substrate:   0.253
PAMPA:   0.996
?
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):   0.043
20% Bioavailability (F20%):   0.002 30% Bioavailability (F30%):   0.815
50% Bioavailability (F50%):   0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.022
Plasma Protein Binding (PPB):   83.896% Volume Distribution (VD):   -0.283
Fu: 14.705%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.448
BSEP inhibitor:   0.864

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.103
HLM stability:   0.05
?
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):  2.12 Half-life (T1/2):  3.738

ADMET: Toxicity

hERG Blockers:  0.042 hERG Blockers (10um):  0.194
Human Hepatotoxicity (H-HT):  0.753 Drug-induced Liver Injury (DILI):  0.936
AMES Toxicity:  0.924 Rat Oral Acute Toxicity:  0.054
Maximum Recommended Daily Dose:  0.047 Skin Sensitization:  0.973
Carcinogencity:  0.042 Eye Corrosion:  0.0
Eye Irritation:  0.08 Respiratory Toxicity:  0.044
Drug-induced Neurotoxicity:  0.021 Ototoxicity:  0.991
Hematotoxicity:  0.395 Drug-induced Nephrotoxicity:  0.98
Genotoxicity:  0.7 RPMI-8226 Immunitoxicity:  0.289
A549 Cytotoxicity:  0.334 Hek293 Cytotoxicity:  0.219
BCF:   0.428
?
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:   3.206
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.083
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.08
?
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
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. fruit n.a. DOI[10.1007/s00217-007-0799-1]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. flower n.a. DOI[10.1016/j.foodchem.2011.01.077]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. PMID[11520216]
NPO21349 Punica granatum Species Lythraceae Eukaryota Seeds n.a. n.a. PMID[15620261]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. PMID[36560643]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. PMID[39138188]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. PMID[39527985]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21349 Punica granatum Species Lythraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Twig n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Stem Bark n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Root Bark n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Pericarp n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota Bark n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. Database[FooDB]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO21349 Punica granatum Species Lythraceae Eukaryota Fruits n.a. Database[Phenol-Explorer]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO21349 Punica granatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO21349 Punica granatum Species Lythraceae 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 NPC594550 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
0.7838 Intermediate Similarity NPC219163
0.7711 Intermediate Similarity NPC293629
0.759 Intermediate Similarity NPC44328
0.759 Intermediate Similarity NPC79056
0.7439 Intermediate Similarity NPC271270
0.7059 Intermediate Similarity NPC43587
0.6795 Remote Similarity NPC97052
0.6709 Remote Similarity NPC39351
0.6506 Remote Similarity NPC236934
0.6364 Remote Similarity NPC97285
0.6341 Remote Similarity NPC29830
0.6098 Remote Similarity NPC26195
0.6044 Remote Similarity NPC190450
0.5957 Remote Similarity NPC67134
0.5638 Remote Similarity NPC105095
0.5638 Remote Similarity NPC177731
0.5638 Remote Similarity NPC725
0.5556 Remote Similarity NPC6407
0.5556 Remote Similarity NPC545184
0.5484 Remote Similarity NPC142860
0.5484 Remote Similarity NPC152538
0.5484 Remote Similarity NPC246469
0.5484 Remote Similarity NPC89088
0.5465 Remote Similarity NPC206378
0.5435 Remote Similarity NPC105283
0.5412 Remote Similarity NPC170475
0.5208 Remote Similarity NPC291124
0.5208 Remote Similarity NPC131157
0.5152 Remote Similarity NPC261254
0.5128 Remote Similarity NPC23084
0.5125 Remote Similarity NPC189589
0.5104 Remote Similarity NPC241016
0.5062 Remote Similarity NPC208769
0.506 Remote Similarity NPC37074
0.5057 Remote Similarity NPC163191
0.5055 Remote Similarity NPC229687

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC594550 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
0.759 Intermediate Similarity NPD7074 Phase 3

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