Natural Product: NPC539482

Natural Product IDNPC539482
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5,7-dihydroxy-2-[3-hydroxy-4-[(2~{S},3~{S},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-phenyl]-6-methoxy-chromen-4-one
IUPAC Name 5,7-dihydroxy-2-[3-hydroxy-4-[(2~{S},3~{S},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-phenyl]-6-methoxy-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 FKEFURJFBYTFMP-NFXVSDQMSA-N
Standard InCHI InChI=1S/C22H22O12/c1-31-21-11(26)6-14-16(18(21)28)10(25)5-13(32-14)8-2-3-12(9(24)4-8)33-22-20(30)19(29)17(27)15(7-23)34-22/h2-6,15,17,19-20,22-24,26-30H,7H2,1H3/t15-,17+,19-,20-,22+/m0/s1
SMILES COC1=C(O)C=C2OC(C3=CC=C(O[C@@H]4O[C@@H](CO)[C@@H](O)[C@H](O)[C@@H]4O)C(O)=C3)=CC(=O)C2=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   478.11 Volume:   439.233
?
Van der Waals volume.
Dense:   1.089 LogP:   0.785
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.195
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.881
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   24.0
TPSA:   199.51
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.254 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.041 Fsp3:   0.318
MCE-18:   90.31
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.68 Fluc inhibitor:   0.303
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.971
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.888
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.117 Promiscuous compounds:   0.796

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.326 MDCK Permeability:   -5.279
Pgp-inhibitor:   0.0 Pgp-substrate:   0.832
PAMPA:   1.0
?
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):   0.68
20% Bioavailability (F20%):   0.978 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.919
Plasma Protein Binding (PPB):   83.391% Volume Distribution (VD):   -0.089
Fu: 14.781%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.326
OATP1B3 inhibitor:   0.72 BCRP inhibitor:   0.235
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.113 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.738 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.268
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.966
HLM stability:   0.041
?
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):  2.439 Half-life (T1/2):  2.613

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.151
Human Hepatotoxicity (H-HT):  0.519 Drug-induced Liver Injury (DILI):  0.838
AMES Toxicity:  0.88 Rat Oral Acute Toxicity:  0.15
Maximum Recommended Daily Dose:  0.104 Skin Sensitization:  0.995
Carcinogencity:  0.313 Eye Corrosion:  0.0
Eye Irritation:  0.884 Respiratory Toxicity:  0.173
Drug-induced Neurotoxicity:  0.004 Ototoxicity:  0.68
Hematotoxicity:  0.339 Drug-induced Nephrotoxicity:  0.408
Genotoxicity:  0.849 RPMI-8226 Immunitoxicity:  0.165
A549 Cytotoxicity:  0.727 Hek293 Cytotoxicity:  0.448
BCF:   0.334
?
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:   2.839
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.27
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.428
?
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
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[35889256]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36677644]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[38474654]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[38617605]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[38695450]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[39063231]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[39135848]
NPO17698 Cirsium oligophyllum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota Tissue Culture n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO42012 Rosmarinus officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO17698 Cirsium oligophyllum Species Asteraceae 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 NPC539482 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
0.8267 Intermediate Similarity NPC605067
0.7895 Intermediate Similarity NPC191306
0.7342 Intermediate Similarity NPC22832
0.6923 Remote Similarity NPC58053
0.675 Remote Similarity NPC186807
0.675 Remote Similarity NPC45638
0.6707 Remote Similarity NPC609478
0.6667 Remote Similarity NPC256760
0.6667 Remote Similarity NPC256283
0.6667 Remote Similarity NPC201292
0.6585 Remote Similarity NPC609451
0.6506 Remote Similarity NPC486578
0.65 Remote Similarity NPC143851
0.6463 Remote Similarity NPC42773
0.6463 Remote Similarity NPC21100
0.6463 Remote Similarity NPC45522
0.6429 Remote Similarity NPC88023
0.6429 Remote Similarity NPC309025
0.6429 Remote Similarity NPC602805
0.642 Remote Similarity NPC93337
0.642 Remote Similarity NPC95090
0.642 Remote Similarity NPC27408
0.6386 Remote Similarity NPC60735
0.6386 Remote Similarity NPC26230
0.6341 Remote Similarity NPC58716
0.6341 Remote Similarity NPC105025
0.6341 Remote Similarity NPC488080
0.6341 Remote Similarity NPC169977
0.631 Remote Similarity NPC101026
0.631 Remote Similarity NPC120099
0.631 Remote Similarity NPC488077
0.631 Remote Similarity NPC601710
0.619 Remote Similarity NPC285197
0.6118 Remote Similarity NPC243930
0.6118 Remote Similarity NPC21666
0.6098 Remote Similarity NPC45618
0.6047 Remote Similarity NPC311830
0.6047 Remote Similarity NPC607707
0.6024 Remote Similarity NPC146792
0.6024 Remote Similarity NPC189142
0.6024 Remote Similarity NPC77660
0.593 Remote Similarity NPC601144
0.5833 Remote Similarity NPC168822
0.5778 Remote Similarity NPC603300
0.5747 Remote Similarity NPC284960
0.5714 Remote Similarity NPC261866
0.5714 Remote Similarity NPC39360
0.5714 Remote Similarity NPC254306
0.5714 Remote Similarity NPC29763
0.5714 Remote Similarity NPC210003
0.5698 Remote Similarity NPC222936
0.5698 Remote Similarity NPC472459
0.5694 Remote Similarity NPC156222
0.5679 Remote Similarity NPC183036
0.5667 Remote Similarity NPC251417
0.5647 Remote Similarity NPC259152
0.5616 Remote Similarity NPC100887
0.5581 Remote Similarity NPC610763
0.5532 Remote Similarity NPC488073
0.5529 Remote Similarity NPC83283
0.5517 Remote Similarity NPC182045
0.55 Remote Similarity NPC470402
0.5467 Remote Similarity NPC255350
0.5465 Remote Similarity NPC64305
0.5444 Remote Similarity NPC203050
0.5444 Remote Similarity NPC225434
0.5417 Remote Similarity NPC209296
0.5402 Remote Similarity NPC305811
0.5395 Remote Similarity NPC160951
0.5385 Remote Similarity NPC4390
0.5385 Remote Similarity NPC600989
0.5361 Remote Similarity NPC472991
0.5349 Remote Similarity NPC110349
0.5342 Remote Similarity NPC293183
0.5341 Remote Similarity NPC475942
0.5341 Remote Similarity NPC325555
0.5341 Remote Similarity NPC226304
0.5341 Remote Similarity NPC117260
0.5333 Remote Similarity NPC307518
0.5326 Remote Similarity NPC254540
0.5319 Remote Similarity NPC3583
0.5319 Remote Similarity NPC607513
0.5283 Remote Similarity NPC198199
0.5281 Remote Similarity NPC219904
0.5275 Remote Similarity NPC601586
0.527 Remote Similarity NPC241498
0.527 Remote Similarity NPC284552
0.5263 Remote Similarity NPC83508
0.5227 Remote Similarity NPC245014
0.5227 Remote Similarity NPC181712
0.5222 Remote Similarity NPC229729
0.5222 Remote Similarity NPC197285
0.5222 Remote Similarity NPC606560
0.5217 Remote Similarity NPC211594
0.5208 Remote Similarity NPC472992
0.5195 Remote Similarity NPC52005
0.5172 Remote Similarity NPC289667
0.5172 Remote Similarity NPC77672
0.5172 Remote Similarity NPC133671
0.5172 Remote Similarity NPC135391
0.5172 Remote Similarity NPC78263
0.5172 Remote Similarity NPC250069
0.5165 Remote Similarity NPC607201
0.5161 Remote Similarity NPC8856
0.5143 Remote Similarity NPC470718
0.5138 Remote Similarity NPC120952
0.5128 Remote Similarity NPC25292
0.5114 Remote Similarity NPC145038
0.5114 Remote Similarity NPC56077
0.5114 Remote Similarity NPC281131
0.5114 Remote Similarity NPC253662
0.5114 Remote Similarity NPC179950
0.5114 Remote Similarity NPC88789
0.5114 Remote Similarity NPC491374
0.5111 Remote Similarity NPC488071
0.5109 Remote Similarity NPC469931
0.5109 Remote Similarity NPC488072
0.5102 Remote Similarity NPC124155
0.5102 Remote Similarity NPC150767
0.5056 Remote Similarity NPC84265
0.5056 Remote Similarity NPC24043
0.5056 Remote Similarity NPC84362
0.5056 Remote Similarity NPC603655
0.5054 Remote Similarity NPC172807

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC539482 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
0.5467 Remote Similarity NPD2801 Pre-clinical
0.5417 Remote Similarity NPD7054 Phase 4

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