Natural Product: NPC473644

Natural Product IDNPC473644
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Acacetin7-O-Alpha-L-Rhamnopyranosyl-(1->6)-Beta-D-Glucopyranoside
IUPAC Name 7-[(2S,3R,4S,5S,6R)-6-[[(2R,3R,4R,5R,6S)-3,4-dihydroxy-5,6-dimethyloxan-2-yl]oxymethyl]-4,5-dihydroxy-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-2-yl]oxy-5-hydroxy-2-(4-methoxyphenyl)chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL448038
PubChem CID 44575351
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 DAVSWEXXVXXTSA-VLTOYACXSA-N
Standard InCHI InChI=1S/C35H44O17/c1-13-14(2)47-33(30(43)25(13)38)46-12-23-27(40)29(42)32(52-34-31(44)28(41)26(39)15(3)48-34)35(51-23)49-18-9-19(36)24-20(37)11-21(50-22(24)10-18)16-5-7-17(45-4)8-6-16/h5-11,13-15,23,25-36,38-44H,12H2,1-4H3/t13-,14-,15-,23+,25+,26-,27+,28+,29-,30+,31+,32+,33+,34-,35+/m0/s1
SMILES COc1ccc(cc1)c1oc2cc(O[C@@H]3O[C@H](CO[C@@H]4O[C@@H](C)[C@@H]([C@H]([C@H]4O)O)C)[C@H]([C@@H]([C@H]3O[C@@H]3O[C@@H](C)[C@@H]([C@H]([C@H]3O)O)O)O)O)cc(c2c(=O)c1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   736.26 Volume:   690.919
?
Van der Waals volume.
Dense:   1.066 LogP:   1.196
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.731
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.634
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   36.0
TPSA:   256.66
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.136 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.246 Fsp3:   0.571
MCE-18:   145.364
?
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:   0.659 Fluc inhibitor:   0.522
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.873
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.339
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.136 Promiscuous compounds:   0.306

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.297 MDCK Permeability:   -5.212
Pgp-inhibitor:   0.0 Pgp-substrate:   0.916
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):   0.981
20% Bioavailability (F20%):   0.361 30% Bioavailability (F30%):   0.989
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.273
Plasma Protein Binding (PPB):   85.178% Volume Distribution (VD):   -0.162
Fu: 12.948%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.1
BSEP inhibitor:   0.005

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.981
HLM stability:   0.018
?
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):  1.177 Half-life (T1/2):  4.221

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.156
Human Hepatotoxicity (H-HT):  0.26 Drug-induced Liver Injury (DILI):  0.972
AMES Toxicity:  0.882 Rat Oral Acute Toxicity:  0.004
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  0.954
Carcinogencity:  0.033 Eye Corrosion:  0.0
Eye Irritation:  0.058 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.979
Hematotoxicity:  0.124 Drug-induced Nephrotoxicity:  0.6
Genotoxicity:  0.217 RPMI-8226 Immunitoxicity:  0.284
A549 Cytotoxicity:  0.238 Hek293 Cytotoxicity:  0.301
BCF:   0.421
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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:   3.177
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.738
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.878
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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
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota flowers bought from a drugstore in Beijing n.a. PMID[10514305]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota flower buds n.a. n.a. PMID[14738377]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota flowers n.a. n.a. PMID[21524582]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11577 Buddleja officinalis Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO11577 Buddleja officinalis Species Scrophulariaceae 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
NPT183 Individual protein Arachidonate 5-lipoxygenase Rattus norvegicus Inhibition = 0.0 % PubChem BioAssay data set

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2 Others Unspecified n.a. Inhibition = 16.8 % PMID[15711537]

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 NPC473644 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
0.8421 Intermediate Similarity NPC11468
0.8081 Intermediate Similarity NPC311850
0.7979 Intermediate Similarity NPC473623
0.7843 Intermediate Similarity NPC68592
0.7553 Intermediate Similarity NPC22062
0.7553 Intermediate Similarity NPC473634
0.7553 Intermediate Similarity NPC138811
0.7333 Intermediate Similarity NPC488086
0.7308 Intermediate Similarity NPC488087
0.7308 Intermediate Similarity NPC488083
0.7264 Intermediate Similarity NPC198199
0.7248 Intermediate Similarity NPC262222
0.7103 Intermediate Similarity NPC298666
0.7064 Intermediate Similarity NPC120952
0.6733 Remote Similarity NPC209296
0.6606 Remote Similarity NPC488088
0.6566 Remote Similarity NPC44931
0.6505 Remote Similarity NPC142142
0.65 Remote Similarity NPC65003
0.6442 Remote Similarity NPC475382
0.6346 Remote Similarity NPC488089
0.6337 Remote Similarity NPC210073
0.6286 Remote Similarity NPC195257
0.6275 Remote Similarity NPC204693
0.6275 Remote Similarity NPC115674
0.619 Remote Similarity NPC479766
0.596 Remote Similarity NPC80188
0.5893 Remote Similarity NPC480441
0.5893 Remote Similarity NPC25523
0.5816 Remote Similarity NPC181712
0.5755 Remote Similarity NPC46202
0.5728 Remote Similarity NPC8856
0.5714 Remote Similarity NPC95090
0.5714 Remote Similarity NPC27408
0.5636 Remote Similarity NPC101636
0.551 Remote Similarity NPC331652
0.5472 Remote Similarity NPC67105
0.5446 Remote Similarity NPC135358
0.5413 Remote Similarity NPC12013
0.5413 Remote Similarity NPC11432
0.5413 Remote Similarity NPC477613
0.5372 Remote Similarity NPC209550
0.5364 Remote Similarity NPC122467
0.5364 Remote Similarity NPC483707
0.5351 Remote Similarity NPC89052
0.5327 Remote Similarity NPC227508
0.5321 Remote Similarity NPC240306
0.53 Remote Similarity NPC19709
0.5229 Remote Similarity NPC122809
0.5229 Remote Similarity NPC186816
0.5221 Remote Similarity NPC298171
0.52 Remote Similarity NPC473043
0.5189 Remote Similarity NPC211594
0.5182 Remote Similarity NPC475366
0.5175 Remote Similarity NPC602448
0.5146 Remote Similarity NPC27942
0.5143 Remote Similarity NPC220169
0.5135 Remote Similarity NPC65711
0.5091 Remote Similarity NPC257566
0.5088 Remote Similarity NPC221342
0.5088 Remote Similarity NPC476470
0.5056 Remote Similarity NPC29353
0.5048 Remote Similarity NPC22832
0.5048 Remote Similarity NPC243930
0.5045 Remote Similarity NPC64051

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473644 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
0.6733 Remote Similarity NPD7054 Phase 4
0.5086 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