Natural Product: NPC470446

Natural Product IDNPC470446
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
6-Methoxyquercetin-3-O-(4-O-Acetyl)-Alpha-L-Rhamnopyranosyl-(1->6)-Beta-D-Glucopyranoside
IUPAC Name [(2S,3R,4S,5R,6R)-6-[[(2R,3S,4S,5R,6S)-6-[2-(3,4-dihydroxyphenyl)-5,7-dihydroxy-6-methoxy-4-oxochromen-3-yl]oxy-3,4,5-trihydroxyoxan-2-yl]methoxy]-4,5-dihydroxy-2-methyloxan-3-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2037048
PubChem CID 57409957
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003531] Flavonoid-3-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 NMYATQQEONGBHA-ASCKONKUSA-N
Standard InCHI InChI=1S/C30H34O18/c1-9-25(45-10(2)31)22(39)24(41)29(44-9)43-8-16-18(35)21(38)23(40)30(47-16)48-28-20(37)17-15(7-14(34)27(42-3)19(17)36)46-26(28)11-4-5-12(32)13(33)6-11/h4-7,9,16,18,21-25,29-30,32-36,38-41H,8H2,1-3H3/t9-,16+,18+,21-,22-,23+,24+,25-,29+,30-/m0/s1
SMILES CC1C(C(C(C(O1)OCC2C(C(C(C(O2)OC3=C(OC4=C(C3=O)C(=C(C(=C4)O)OC)O)C5=CC(=C(C=C5)O)O)O)O)O)O)O)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   682.17 Volume:   619.15
?
Van der Waals volume.
Dense:   1.102 LogP:   0.263
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.898
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.047
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   31.0
TPSA:   284.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.101 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.974 Fsp3:   0.467
MCE-18:   127.818
?
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:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.282 Fluc inhibitor:   0.031
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.91
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.904
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.091 Promiscuous compounds:   0.24

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.149 MDCK Permeability:   -5.289
Pgp-inhibitor:   0.0 Pgp-substrate:   0.864
PAMPA:   0.999
?
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):   0.944
20% Bioavailability (F20%):   0.786 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.935
Plasma Protein Binding (PPB):   77.42% Volume Distribution (VD):   -0.166
Fu: 23.189%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.005
OATP1B3 inhibitor:   0.944 BCRP inhibitor:   0.351
BSEP inhibitor:   0.013

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.018 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.426
?
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):  2.129 Half-life (T1/2):  3.338

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.501
Human Hepatotoxicity (H-HT):  0.335 Drug-induced Liver Injury (DILI):  0.849
AMES Toxicity:  0.715 Rat Oral Acute Toxicity:  0.38
Maximum Recommended Daily Dose:  0.476 Skin Sensitization:  0.642
Carcinogencity:  0.077 Eye Corrosion:  0.0
Eye Irritation:  0.028 Respiratory Toxicity:  0.024
Drug-induced Neurotoxicity:  0.037 Ototoxicity:  0.974
Hematotoxicity:  0.013 Drug-induced Nephrotoxicity:  0.011
Genotoxicity:  0.795 RPMI-8226 Immunitoxicity:  0.038
A549 Cytotoxicity:  0.428 Hek293 Cytotoxicity:  0.676
BCF:   0.443
?
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:   3.053
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.938
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.939
?
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
NPO33486 paepalanthus geniculatus Species Eriocaulaceae Eukaryota Flowers Santana do Riacho, State Minas Gerais, Brazil n.a. PMID[22506638]
NPO33486 paepalanthus geniculatus Species Eriocaulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 2.16 mM PMID[22506638]

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 NPC470446 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
0.8977 High Similarity NPC470449
0.8202 Intermediate Similarity NPC126784
0.8202 Intermediate Similarity NPC241423
0.8191 Intermediate Similarity NPC470451
0.8 Intermediate Similarity NPC488073
0.7802 Intermediate Similarity NPC488074
0.7766 Intermediate Similarity NPC470445
0.7312 Intermediate Similarity NPC473571
0.7312 Intermediate Similarity NPC110941
0.7071 Intermediate Similarity NPC470455
0.7045 Intermediate Similarity NPC305811
0.6939 Remote Similarity NPC470447
0.6778 Remote Similarity NPC42773
0.6778 Remote Similarity NPC45522
0.6667 Remote Similarity NPC203259
0.6667 Remote Similarity NPC33054
0.6667 Remote Similarity NPC176740
0.6667 Remote Similarity NPC471725
0.6667 Remote Similarity NPC134532
0.6667 Remote Similarity NPC602582
0.6633 Remote Similarity NPC483415
0.6596 Remote Similarity NPC116864
0.6596 Remote Similarity NPC244776
0.6495 Remote Similarity NPC156869
0.6465 Remote Similarity NPC470443
0.6436 Remote Similarity NPC471669
0.6392 Remote Similarity NPC67326
0.6275 Remote Similarity NPC473073
0.6238 Remote Similarity NPC473327
0.6214 Remote Similarity NPC36138
0.6154 Remote Similarity NPC470450
0.6117 Remote Similarity NPC476472
0.6117 Remote Similarity NPC294815
0.6117 Remote Similarity NPC16194
0.6075 Remote Similarity NPC292019
0.6075 Remote Similarity NPC202908
0.6061 Remote Similarity NPC173582
0.6061 Remote Similarity NPC265885
0.6061 Remote Similarity NPC181465
0.6061 Remote Similarity NPC215710
0.6061 Remote Similarity NPC473438
0.6061 Remote Similarity NPC253788
0.604 Remote Similarity NPC153755
0.6 Remote Similarity NPC65563
0.6 Remote Similarity NPC470949
0.5981 Remote Similarity NPC470416
0.5962 Remote Similarity NPC483413
0.5962 Remote Similarity NPC483412
0.5957 Remote Similarity NPC488080
0.5957 Remote Similarity NPC169977
0.59 Remote Similarity NPC39834
0.5876 Remote Similarity NPC209023
0.5865 Remote Similarity NPC488089
0.5833 Remote Similarity NPC159579
0.581 Remote Similarity NPC89127
0.58 Remote Similarity NPC471079
0.5789 Remote Similarity NPC27640
0.5773 Remote Similarity NPC101026
0.5773 Remote Similarity NPC488077
0.5769 Remote Similarity NPC483416
0.5701 Remote Similarity NPC223426
0.5673 Remote Similarity NPC483414
0.567 Remote Similarity NPC182121
0.567 Remote Similarity NPC175107
0.5648 Remote Similarity NPC81042
0.5644 Remote Similarity NPC609888
0.5631 Remote Similarity NPC186816
0.5625 Remote Similarity NPC271692
0.5619 Remote Similarity NPC37668
0.5588 Remote Similarity NPC471748
0.5579 Remote Similarity NPC127546
0.5579 Remote Similarity NPC57625
0.5579 Remote Similarity NPC173637
0.5579 Remote Similarity NPC317489
0.5579 Remote Similarity NPC223424
0.5579 Remote Similarity NPC600591
0.5566 Remote Similarity NPC486577
0.5545 Remote Similarity NPC189564
0.551 Remote Similarity NPC488071
0.5492 Remote Similarity NPC72554
0.5472 Remote Similarity NPC122467
0.547 Remote Similarity NPC241781
0.5431 Remote Similarity NPC156785
0.5408 Remote Similarity NPC599850
0.5392 Remote Similarity NPC254540
0.5385 Remote Similarity NPC488078
0.5377 Remote Similarity NPC480471
0.5377 Remote Similarity NPC488076
0.5361 Remote Similarity NPC145038
0.5361 Remote Similarity NPC56077
0.5361 Remote Similarity NPC281131
0.5361 Remote Similarity NPC253662
0.5361 Remote Similarity NPC179950
0.5361 Remote Similarity NPC88789
0.5361 Remote Similarity NPC491374
0.5357 Remote Similarity NPC173837
0.5317 Remote Similarity NPC97817
0.5294 Remote Similarity NPC163524
0.5288 Remote Similarity NPC67105
0.5268 Remote Similarity NPC488075
0.5253 Remote Similarity NPC59534
0.5242 Remote Similarity NPC30011
0.5238 Remote Similarity NPC233994
0.5238 Remote Similarity NPC605592
0.5229 Remote Similarity NPC85751
0.5229 Remote Similarity NPC19240
0.5225 Remote Similarity NPC214621
0.5225 Remote Similarity NPC34267
0.5217 Remote Similarity NPC139571
0.52 Remote Similarity NPC219904
0.5192 Remote Similarity NPC29958
0.5189 Remote Similarity NPC129264
0.5185 Remote Similarity NPC270448
0.5179 Remote Similarity NPC121703
0.5179 Remote Similarity NPC203145
0.5175 Remote Similarity NPC480441
0.5175 Remote Similarity NPC217520
0.5169 Remote Similarity NPC162394
0.5146 Remote Similarity NPC265115
0.514 Remote Similarity NPC154741
0.5115 Remote Similarity NPC482521
0.5104 Remote Similarity NPC276222
0.5104 Remote Similarity NPC274618
0.5104 Remote Similarity NPC118284
0.5104 Remote Similarity NPC608147
0.5098 Remote Similarity NPC223747
0.5094 Remote Similarity NPC210073
0.5093 Remote Similarity NPC75574
0.5093 Remote Similarity NPC211532
0.5093 Remote Similarity NPC488364
0.5088 Remote Similarity NPC477895
0.5052 Remote Similarity NPC67037
0.5052 Remote Similarity NPC255615
0.5051 Remote Similarity NPC265530
0.5051 Remote Similarity NPC136042
0.5048 Remote Similarity NPC139320
0.5047 Remote Similarity NPC470444
0.5046 Remote Similarity NPC104883
0.5046 Remote Similarity NPC488679
0.5044 Remote Similarity NPC89052
0.5043 Remote Similarity NPC303694

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470446 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
0.6667 Remote Similarity NPD6797 Phase 2
0.5962 Remote Similarity NPD7251 Phase 2
0.5044 Remote Similarity NPD7808 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