Natural Product: NPC120952

Natural Product IDNPC120952
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Diosmetin-7-O-Beta-D-Glucopyranosyl-(1->2)-6-O-Acetyl-Beta-D-Glucopyranosyl-(1->2)-[Alpha-Lrhamnopyranosyl-(1->6)]-Beta-D-Glucopyranoside
IUPAC Name [(2R,3S,4S,5R,6S)-6-[(2S,3R,4S,5S,6R)-4,5-dihydroxy-2-[5-hydroxy-2-(3-hydroxy-4-methoxyphenyl)-4-oxochromen-7-yl]oxy-6-[[(2R,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxymethyl]oxan-3-yl]oxy-3,4-dihydroxy-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]methyl acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2336743
PubChem CID 71717056
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-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 BHUVDLGITGTMAI-KOZHEFPZSA-N
Standard InCHI InChI=1S/C42H54O26/c1-13-27(48)31(52)35(56)39(61-13)60-12-25-30(51)33(54)37(41(65-25)62-16-7-18(46)26-19(47)9-21(63-22(26)8-16)15-4-5-20(58-3)17(45)6-15)68-42-38(34(55)29(50)24(66-42)11-59-14(2)44)67-40-36(57)32(53)28(49)23(10-43)64-40/h4-9,13,23-25,27-43,45-46,48-57H,10-12H2,1-3H3/t13-,23+,24+,25+,27-,28+,29+,30+,31+,32-,33-,34-,35+,36+,37+,38+,39+,40-,41+,42-/m0/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2[C@H](O[C@H]3[C@H](Oc4cc(O)c5c(c4)oc(cc5=O)c4ccc(c(c4)O)OC)O[C@@H]([C@H]([C@@H]3O)O)CO[C@@H]3O[C@@H](C)[C@@H]([C@H]([C@H]3O)O)O)O[C@@H]([C@H]([C@@H]2O)O)COC(=O)C)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   974.29 Volume:   879.91
?
Van der Waals volume.
Dense:   1.107 LogP:   -1.801
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.397
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.921
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   43.0
TPSA:   402.57
?
Topological Polar Surface Area.
H-Bond Acceptor:   26.0
H-Bond Donor:   13.0 Rings:   7.0
Heavy Atoms:   26.0

MedChem Properties

QED Drug-Likeness Score:   0.067 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.014 Fsp3:   0.619
MCE-18:   183.0
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.616 Fluc inhibitor:   0.442
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.827
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.5
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.246 Promiscuous compounds:   0.419

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.611 MDCK Permeability:   -5.059
Pgp-inhibitor:   0.0 Pgp-substrate:   0.89
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):   1.0
20% Bioavailability (F20%):   0.783 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.015
Plasma Protein Binding (PPB):   71.695% Volume Distribution (VD):   -0.241
Fu: 26.66%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
BSEP inhibitor:   0.0

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:   0.047
HLM stability:   0.001
?
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):  0.179 Half-life (T1/2):  5.916

ADMET: Toxicity

hERG Blockers:  0.002 hERG Blockers (10um):  0.01
Human Hepatotoxicity (H-HT):  0.445 Drug-induced Liver Injury (DILI):  0.995
AMES Toxicity:  0.992 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.025 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.239 Drug-induced Nephrotoxicity:  0.874
Genotoxicity:  0.65 RPMI-8226 Immunitoxicity:  0.348
A549 Cytotoxicity:  0.686 Hek293 Cytotoxicity:  0.361
BCF:   0.308
?
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:   2.79
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.603
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.736
?
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
NPO32535 dracocephalum ruyschiana Species Lamiaceae Eukaryota aerial parts Mongolian n.a. PMID[23356964]

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
NPT1 Others Radical scavenging activity n.a. IC50 > 200.0 ug.mL-1 PMID[2853205]

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 NPC120952 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
0.9293 High Similarity NPC198199
0.9 High Similarity NPC68592
0.8544 High Similarity NPC298666
0.8333 Intermediate Similarity NPC311850
0.7941 Intermediate Similarity NPC11468
0.75 Intermediate Similarity NPC262222
0.7353 Intermediate Similarity NPC209296
0.7248 Intermediate Similarity NPC488083
0.7064 Intermediate Similarity NPC473644
0.6964 Remote Similarity NPC488086
0.6937 Remote Similarity NPC488087
0.6731 Remote Similarity NPC115674
0.6729 Remote Similarity NPC195257
0.6476 Remote Similarity NPC22062
0.6476 Remote Similarity NPC65003
0.6476 Remote Similarity NPC473634
0.6476 Remote Similarity NPC138811
0.6436 Remote Similarity NPC22832
0.6346 Remote Similarity NPC8856
0.6316 Remote Similarity NPC480441
0.6316 Remote Similarity NPC25523
0.6293 Remote Similarity NPC488088
0.6273 Remote Similarity NPC475382
0.6182 Remote Similarity NPC142142
0.6168 Remote Similarity NPC210073
0.5926 Remote Similarity NPC44931
0.581 Remote Similarity NPC80188
0.5752 Remote Similarity NPC479766
0.5739 Remote Similarity NPC135358
0.5625 Remote Similarity NPC240306
0.5614 Remote Similarity NPC488089
0.5603 Remote Similarity NPC602448
0.5577 Remote Similarity NPC95090
0.5577 Remote Similarity NPC27408
0.5526 Remote Similarity NPC473623
0.552 Remote Similarity NPC209550
0.547 Remote Similarity NPC253685
0.5398 Remote Similarity NPC204693
0.5378 Remote Similarity NPC89052
0.537 Remote Similarity NPC243930
0.537 Remote Similarity NPC486578
0.5321 Remote Similarity NPC311830
0.5321 Remote Similarity NPC607707
0.5315 Remote Similarity NPC251417
0.5283 Remote Similarity NPC189142
0.5283 Remote Similarity NPC77660
0.5278 Remote Similarity NPC285197
0.5263 Remote Similarity NPC122809
0.5259 Remote Similarity NPC32641
0.5259 Remote Similarity NPC256188
0.5259 Remote Similarity NPC35119
0.5254 Remote Similarity NPC101636
0.5229 Remote Similarity NPC605067
0.5221 Remote Similarity NPC67105
0.5217 Remote Similarity NPC46202
0.5189 Remote Similarity NPC19709
0.5179 Remote Similarity NPC239549
0.5172 Remote Similarity NPC12013
0.5172 Remote Similarity NPC65711
0.5172 Remote Similarity NPC11432
0.5172 Remote Similarity NPC477613
0.5167 Remote Similarity NPC14187
0.5164 Remote Similarity NPC173837
0.5138 Remote Similarity NPC191306
0.5138 Remote Similarity NPC611303
0.5128 Remote Similarity NPC122467
0.5128 Remote Similarity NPC473327
0.5116 Remote Similarity NPC192539
0.5091 Remote Similarity NPC601144
0.5088 Remote Similarity NPC275454
0.5088 Remote Similarity NPC227508
0.5052 Remote Similarity NPC223579
0.5047 Remote Similarity NPC261866
0.5047 Remote Similarity NPC39360
0.5047 Remote Similarity NPC29763
0.5047 Remote Similarity NPC210003
0.5041 Remote Similarity NPC244875
0.5038 Remote Similarity NPC199172
0.5038 Remote Similarity NPC473554

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC120952 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
0.7353 Intermediate Similarity NPD7054 Phase 4
0.5913 Remote Similarity NPD7472 Pre-clinical

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