Natural Product: NPC327032

Natural Product IDNPC327032
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Saccharumoside B
IUPAC Name [(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-[4-(hydroxymethyl)-2-methoxyphenoxy]oxan-2-yl]methyl 4-hydroxy-3-methoxybenzoate
Synonyms Saccharumoside B
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1923079
PubChem CID 56834590
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins
        • [CHEMONTID:0001710] Hydrolyzable tannins

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 XDCJBRVCYFCQAN-OUUKCGNVSA-N
Standard InCHI InChI=1S/C22H26O11/c1-29-15-8-12(4-5-13(15)24)21(28)31-10-17-18(25)19(26)20(27)22(33-17)32-14-6-3-11(9-23)7-16(14)30-2/h3-8,17-20,22-27H,9-10H2,1-2H3/t17-,18-,19+,20-,22-/m1/s1
SMILES OCc1ccc(c(c1)OC)O[C@@H]1O[C@H](COC(=O)c2ccc(c(c2)OC)O)[C@H]([C@@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   466.15 Volume:   441.636
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Van der Waals volume.
Dense:   1.056 LogP:   0.563
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.868
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.161
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   19.0
TPSA:   164.37
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   5.0 Rings:   3.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.331 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.592 Fsp3:   0.409
MCE-18:   69.774
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.476 Fluc inhibitor:   0.13
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.122
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.468
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.118 Promiscuous compounds:   0.232

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.229 MDCK Permeability:   -5.337
Pgp-inhibitor:   0.006 Pgp-substrate:   0.076
PAMPA:   0.351
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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):   0.098
20% Bioavailability (F20%):   0.723 30% Bioavailability (F30%):   0.95
50% Bioavailability (F50%):   0.974

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.047 MRP1:   0.49
Plasma Protein Binding (PPB):   70.68% Volume Distribution (VD):   -0.106
Fu: 30.082%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.071
BSEP inhibitor:   0.401

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.057 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.011 CYP2C9-substrate:   0.012
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.025
CYP3A4-inhibitor:   0.009 CYP3A4-substrate:   0.756
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.235
?
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):  3.047 Half-life (T1/2):  2.48

ADMET: Toxicity

hERG Blockers:  0.041 hERG Blockers (10um):  0.401
Human Hepatotoxicity (H-HT):  0.194 Drug-induced Liver Injury (DILI):  0.64
AMES Toxicity:  0.464 Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.038 Skin Sensitization:  0.841
Carcinogencity:  0.32 Eye Corrosion:  0.0
Eye Irritation:  0.734 Respiratory Toxicity:  0.049
Drug-induced Neurotoxicity:  0.082 Ototoxicity:  0.61
Hematotoxicity:  0.045 Drug-induced Nephrotoxicity:  0.497
Genotoxicity:  0.105 RPMI-8226 Immunitoxicity:  0.159
A549 Cytotoxicity:  0.148 Hek293 Cytotoxicity:  0.194
BCF:   0.354
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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:   3.062
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.445
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.743
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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
NPO14559 Acer saccharum Species Sapindaceae Eukaryota n.a. bark n.a. PMID[22032697]
NPO14559 Acer saccharum Species Sapindaceae Eukaryota bark n.a. n.a. PMID[22032697]
NPO14559 Acer saccharum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14559 Acer saccharum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14559 Acer saccharum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14559 Acer saccharum Species Sapindaceae 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
NPT393 Cell line HCT-116 Homo sapiens IC50 < 5.0 ug.mL-1 PMID[22032697]
NPT492 Cell line Caco-2 Homo sapiens IC50 < 5.0 ug.mL-1 PMID[22032697]

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 NPC327032 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
0.7727 Intermediate Similarity NPC111785
0.7429 Intermediate Similarity NPC311803
0.7361 Intermediate Similarity NPC5786
0.7286 Intermediate Similarity NPC160780
0.6986 Remote Similarity NPC102851
0.6944 Remote Similarity NPC197708
0.6301 Remote Similarity NPC119125
0.625 Remote Similarity NPC658
0.6111 Remote Similarity NPC316539
0.6081 Remote Similarity NPC25821
0.5946 Remote Similarity NPC25389
0.575 Remote Similarity NPC485234
0.5679 Remote Similarity NPC194095
0.5672 Remote Similarity NPC166040
0.561 Remote Similarity NPC471405
0.5604 Remote Similarity NPC163165
0.5556 Remote Similarity NPC65833
0.5526 Remote Similarity NPC1913
0.5467 Remote Similarity NPC166277
0.5455 Remote Similarity NPC4958
0.5395 Remote Similarity NPC472859
0.5287 Remote Similarity NPC476011
0.5256 Remote Similarity NPC215811
0.525 Remote Similarity NPC36130
0.52 Remote Similarity NPC484156
0.5185 Remote Similarity NPC18979
0.5181 Remote Similarity NPC472860
0.5181 Remote Similarity NPC484816
0.5165 Remote Similarity NPC469438
0.5119 Remote Similarity NPC10205
0.5116 Remote Similarity NPC478797
0.5116 Remote Similarity NPC33298
0.5111 Remote Similarity NPC11411
0.5111 Remote Similarity NPC485745
0.5055 Remote Similarity NPC133984

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC327032 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