Natural Product: NPC160882

Natural Product IDNPC160882
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Vandateroside Ii
IUPAC Name bis[[4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]methyl] (2R)-2-hydroxy-2-[(4-hydroxyphenyl)methyl]butanedioate
Synonyms Vandateroside II
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1801777
PubChem CID 53355890
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:0004165] Phenolic 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 DGKISHSPYWCSLM-VODBULHWSA-N
Standard InCHI InChI=1S/C37H44O18/c38-15-25-28(42)30(44)32(46)34(54-25)52-23-9-3-20(4-10-23)17-50-27(41)14-37(49,13-19-1-7-22(40)8-2-19)36(48)51-18-21-5-11-24(12-6-21)53-35-33(47)31(45)29(43)26(16-39)55-35/h1-12,25-26,28-35,38-40,42-47,49H,13-18H2/t25-,26-,28-,29-,30+,31+,32-,33-,34-,35-,37-/m1/s1
SMILES c1cc(ccc1C[C@@](CC(=O)OCc1ccc(cc1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)(C(=O)OCc1ccc(cc1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   776.25 Volume:   734.949
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Van der Waals volume.
Dense:   1.056 LogP:   0.57
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.202
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.914
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The logarithm of aqueous solubility value.
Rotatable Bonds:   17.0 Rigid Bonds:   32.0
TPSA:   291.82
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   10.0 Rings:   5.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.074 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.914 Fsp3:   0.459
MCE-18:   121.333
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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:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.655 Fluc inhibitor:   0.148
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.452
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.215 Promiscuous compounds:   0.297

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.652 MDCK Permeability:   -5.044
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.999
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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):   0.957
20% Bioavailability (F20%):   0.268 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.003
Plasma Protein Binding (PPB):   72.63% Volume Distribution (VD):   -0.288
Fu: 25.716%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.009

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:   0.032
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.963
HLM stability:   0.0
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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):  1.845 Half-life (T1/2):  5.534

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.013
Human Hepatotoxicity (H-HT):  0.935 Drug-induced Liver Injury (DILI):  0.972
AMES Toxicity:  0.986 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  0.999
Carcinogencity:  0.164 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.999
Hematotoxicity:  0.421 Drug-induced Nephrotoxicity:  0.992
Genotoxicity:  0.964 RPMI-8226 Immunitoxicity:  0.202
A549 Cytotoxicity:  0.456 Hek293 Cytotoxicity:  0.423
BCF:   0.568
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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:   3.463
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.208
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.381
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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
NPO30423 Vanda teres Species Orchidaceae Eukaryota n.a. root n.a. PMID[21510636]
NPO30423 Vanda teres Species Orchidaceae Eukaryota n.a. stem n.a. PMID[21510636]
NPO30423 Vanda teres Species Orchidaceae Eukaryota n.a. leaf n.a. PMID[21510636]

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
NPT2 Others Unspecified n.a. FC = 60.0 n.a. PMID[21510636]
NPT2 Others Unspecified n.a. Activity = 158.0 % PMID[21510636]

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 NPC160882 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
0.6667 Remote Similarity NPC264381
0.6506 Remote Similarity NPC605959
0.6506 Remote Similarity NPC606999
0.6429 Remote Similarity NPC600084
0.6133 Remote Similarity NPC471029
0.6133 Remote Similarity NPC601944
0.5867 Remote Similarity NPC248119
0.5783 Remote Similarity NPC600240
0.5783 Remote Similarity NPC609745
0.55 Remote Similarity NPC169761
0.5443 Remote Similarity NPC186406
0.5432 Remote Similarity NPC169968
0.5385 Remote Similarity NPC142319
0.5326 Remote Similarity NPC606350
0.5325 Remote Similarity NPC121001
0.5294 Remote Similarity NPC60589
0.5294 Remote Similarity NPC469708
0.5205 Remote Similarity NPC214910
0.5104 Remote Similarity NPC603951
0.5104 Remote Similarity NPC606158

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC160882 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