Natural Product: NPC471030

Natural Product IDNPC471030
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(2R,3R,4S,5R,6S)-3,5-Dihydroxy-6-[5-Hydroxy-2-(4-Hydroxy-3-Methoxyphenyl)-4-Oxochromen-7-Yl]Oxy-4-[(E)-3-(4-Hydroxyphenyl)Prop-2-Enoyl]Oxyoxan-2-Yl]Methyl (E)-3-Phenylprop-2-Enoate
IUPAC Name [(2R,3R,4S,5R,6S)-3,5-dihydroxy-6-[5-hydroxy-2-(4-hydroxy-3-methoxyphenyl)-4-oxochromen-7-yl]oxy-4-[(E)-3-(4-hydroxyphenyl)prop-2-enoyl]oxyoxan-2-yl]methyl (E)-3-phenylprop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL233697
PubChem CID 44429744
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 RZLBGVNPBMPJNW-KXNNMBPQSA-N
Standard InCHI InChI=1S/C40H34O14/c1-49-31-17-24(11-14-27(31)42)30-20-29(44)36-28(43)18-26(19-32(36)52-30)51-40-38(48)39(54-35(46)16-10-23-7-12-25(41)13-8-23)37(47)33(53-40)21-50-34(45)15-9-22-5-3-2-4-6-22/h2-20,33,37-43,47-48H,21H2,1H3/b15-9+,16-10+/t33-,37-,38-,39+,40-/m1/s1
SMILES COC1=C(C=CC(=C1)C2=CC(=O)C3=C(C=C(C=C3O2)OC4C(C(C(C(O4)COC(=O)C=CC5=CC=CC=C5)O)OC(=O)C=CC6=CC=C(C=C6)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   738.19 Volume:   724.664
?
Van der Waals volume.
Dense:   1.019 LogP:   3.579
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.994
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.529
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   40.0
TPSA:   211.65
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   5.0 Rings:   6.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.095 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.451 Fsp3:   0.175
MCE-18:   118.872
?
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:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   1.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.986
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.987
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.199 Promiscuous compounds:   0.835

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.021 MDCK Permeability:   -5.232
Pgp-inhibitor:   0.064 Pgp-substrate:   0.051
PAMPA:   0.963
?
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):   0.247
20% Bioavailability (F20%):   0.959 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.76
Plasma Protein Binding (PPB):   95.673% Volume Distribution (VD):   -0.045
Fu: 3.892%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.516
BSEP inhibitor:   0.992

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.304
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.006
CYP2C9-inhibitor:   0.005 CYP2C9-substrate:   0.059
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.012
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.925
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.0
?
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):  1.951 Half-life (T1/2):  2.42

ADMET: Toxicity

hERG Blockers:  0.17 hERG Blockers (10um):  0.743
Human Hepatotoxicity (H-HT):  0.362 Drug-induced Liver Injury (DILI):  0.862
AMES Toxicity:  0.85 Rat Oral Acute Toxicity:  0.342
Maximum Recommended Daily Dose:  0.955 Skin Sensitization:  0.997
Carcinogencity:  0.173 Eye Corrosion:  0.0
Eye Irritation:  0.043 Respiratory Toxicity:  0.165
Drug-induced Neurotoxicity:  0.217 Ototoxicity:  0.628
Hematotoxicity:  0.004 Drug-induced Nephrotoxicity:  0.3
Genotoxicity:  0.736 RPMI-8226 Immunitoxicity:  0.174
A549 Cytotoxicity:  0.797 Hek293 Cytotoxicity:  0.991
BCF:   1.01
?
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:   4.339
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.239
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.04
?
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
NPO6536 Marrubium velutinum Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[17287127]
NPO6536 Marrubium velutinum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6536 Marrubium velutinum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6536 Marrubium velutinum Species Lamiaceae 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
NPT43 Individual protein Tyrosinase Agaricus bisporus Inhibition = 15.59 % DrugMatrix in vitro pharmacology data

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 NPC471030 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
0.8866 High Similarity NPC473278
0.7048 Intermediate Similarity NPC472994
0.699 Remote Similarity NPC210961
0.6789 Remote Similarity NPC472993
0.6762 Remote Similarity NPC270675
0.6762 Remote Similarity NPC195685
0.6207 Remote Similarity NPC474093
0.6207 Remote Similarity NPC104910
0.6071 Remote Similarity NPC96605
0.6071 Remote Similarity NPC280642
0.5946 Remote Similarity NPC479765
0.5806 Remote Similarity NPC35924
0.5804 Remote Similarity NPC80068
0.5776 Remote Similarity NPC480796
0.5526 Remote Similarity NPC477629
0.5478 Remote Similarity NPC260504
0.5478 Remote Similarity NPC89809
0.5476 Remote Similarity NPC199172
0.5462 Remote Similarity NPC217520
0.5421 Remote Similarity NPC311830
0.5373 Remote Similarity NPC475179
0.5372 Remote Similarity NPC470716
0.5345 Remote Similarity NPC101636
0.5299 Remote Similarity NPC484301
0.5278 Remote Similarity NPC220169
0.5263 Remote Similarity NPC137062
0.5175 Remote Similarity NPC64051
0.5128 Remote Similarity NPC188815
0.5086 Remote Similarity NPC139060
0.5046 Remote Similarity NPC601144

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471030 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
NPD

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