Natural Product: NPC473867

Natural Product IDNPC473867
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
1-O-P-Hydroxybenzoyl-Beta-D-Apiofuranosyl-(1->6)-Beta-D-Glucopyranoside
IUPAC Name [(2R,3S,4R,5R,6S)-6-[[(2S,3S,4S)-3,4-dihydroxy-4-(hydroxymethyl)oxolan-2-yl]oxymethyl]-3,4,5-trihydroxyoxan-2-yl] 3,4-dihydroxybenzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL453796
PubChem CID 44558991
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0002207] O-glycosyl 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 JQKKLIRCVDZHKC-NMPWBNDMSA-N
Standard InCHI InChI=1S/C18H24O13/c19-5-18(27)6-29-17(14(18)25)28-4-10-11(22)12(23)13(24)16(30-10)31-15(26)7-1-2-8(20)9(21)3-7/h1-3,10-14,16-17,19-25,27H,4-6H2/t10-,11-,12+,13-,14+,16+,17-,18-/m0/s1
SMILES OC[C@]1(O)CO[C@@H]([C@H]1O)OC[C@@H]1O[C@H](OC(=O)c2ccc(c(c2)O)O)[C@H]([C@@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   448.12 Volume:   397.942
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Van der Waals volume.
Dense:   1.126 LogP:   -0.557
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.256
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.339
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   18.0
TPSA:   215.83
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   8.0 Rings:   3.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.157 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.43 Fsp3:   0.611
MCE-18:   83.276
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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:   1
Colloidal aggregators:   0.357 Fluc inhibitor:   0.328
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.128
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.024
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.228 Promiscuous compounds:   0.522

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.532 MDCK Permeability:   -5.21
Pgp-inhibitor:   0.0 Pgp-substrate:   0.422
PAMPA:   1.0
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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):   0.612
20% Bioavailability (F20%):   0.988 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.088 MRP1:   0.688
Plasma Protein Binding (PPB):   41.119% Volume Distribution (VD):   -0.518
Fu: 65.119%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.968
OATP1B3 inhibitor:   0.844 BCRP inhibitor:   0.103
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:   0.502
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.839
HLM stability:   0.048
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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):  1.432 Half-life (T1/2):  2.543

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.303
Human Hepatotoxicity (H-HT):  0.386 Drug-induced Liver Injury (DILI):  0.675
AMES Toxicity:  0.827 Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.017 Skin Sensitization:  0.998
Carcinogencity:  0.112 Eye Corrosion:  0.0
Eye Irritation:  0.895 Respiratory Toxicity:  0.003
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.881
Hematotoxicity:  0.054 Drug-induced Nephrotoxicity:  0.687
Genotoxicity:  0.407 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.349 Hek293 Cytotoxicity:  0.067
BCF:   0.324
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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:   2.777
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.417
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.705
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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
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[10096857]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[23507152]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[33321838]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36432812]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36840093]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[36987013]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37176852]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37751472]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37836118]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[37836125]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Leaf Essent. Oil n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6098 Salvia officinalis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6098 Salvia officinalis 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

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 = 0.78 n.a. PMID[10096857]

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 NPC473867 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
0.7273 Intermediate Similarity NPC473924
0.6818 Remote Similarity NPC90318
0.5968 Remote Similarity NPC92117
0.5775 Remote Similarity NPC476448
0.5775 Remote Similarity NPC469548
0.5775 Remote Similarity NPC476445
0.5763 Remote Similarity NPC219040
0.5758 Remote Similarity NPC264784
0.5753 Remote Similarity NPC195196
0.5676 Remote Similarity NPC164172
0.5658 Remote Similarity NPC252833
0.5625 Remote Similarity NPC114096
0.5556 Remote Similarity NPC289438
0.5541 Remote Similarity NPC6836
0.5493 Remote Similarity NPC287429
0.5467 Remote Similarity NPC34965
0.5405 Remote Similarity NPC242756
0.5395 Remote Similarity NPC470881
0.5395 Remote Similarity NPC602810
0.5325 Remote Similarity NPC232454
0.5325 Remote Similarity NPC470907
0.5325 Remote Similarity NPC178449
0.527 Remote Similarity NPC229784
0.5152 Remote Similarity NPC472026
0.5065 Remote Similarity NPC470510

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473867 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