Natural Product: NPC520308

Natural Product IDNPC520308
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 (2~{R},3~{R},4~{S},5~{R},6~{R})-2-hexoxy-6-[[(2~{S},3~{R},4~{R},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxymethyl]tetrahydropyran-3,4,5-triol
IUPAC Name (2~{R},3~{R},4~{S},5~{R},6~{R})-2-hexoxy-6-[[(2~{S},3~{R},4~{R},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxymethyl]tetrahydropyran-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001766] Fatty acyl glycosides
          • [CHEMONTID:0003861] Fatty acyl glycosides of mono- and disaccharides

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 PSYNCYUUTFEJHA-GZPOAYHGSA-N
Standard InCHI InChI=1S/C17H32O10/c1-2-3-4-5-6-24-17-15(23)13(21)12(20)10(27-17)8-26-16-14(22)11(19)9(18)7-25-16/h9-23H,2-8H2,1H3/t9-,10-,11-,12+,13+,14-,15-,16+,17-/m1/s1
SMILES CCCCCCO[C@@H]1O[C@H](CO[C@@H]2OC[C@@H](O)[C@@H](O)[C@H]2O)[C@H](O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   396.2 Volume:   373.378
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Van der Waals volume.
Dense:   1.061 LogP:   0.524
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.78
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -1.723
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   12.0
TPSA:   158.3
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Topological Polar Surface Area.
 H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   2.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.237 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.232 Fsp3:   1.0
MCE-18:   38.824
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.531 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.038
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.347 Promiscuous compounds:   0.003

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.419 MDCK Permeability:   -4.864
Pgp-inhibitor:   0.0 Pgp-substrate:   0.984
PAMPA:   0.998
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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):   0.966
20% Bioavailability (F20%):   0.852 30% Bioavailability (F30%):   0.982
50% Bioavailability (F50%):   0.968

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.602
Plasma Protein Binding (PPB):   70.82% Volume Distribution (VD):   -0.282
Fu: 24.547%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.791
OATP1B3 inhibitor:   0.965 BCRP inhibitor:   0.023
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 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:   0.822
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.706
HLM stability:   0.002
?
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):  1.933 Half-life (T1/2):  1.759

ADMET: Toxicity

hERG Blockers:  0.051 hERG Blockers (10um):  0.258
Human Hepatotoxicity (H-HT):  0.261 Drug-induced Liver Injury (DILI):  0.114
AMES Toxicity:  0.69 Rat Oral Acute Toxicity:  0.019
Maximum Recommended Daily Dose:  0.014 Skin Sensitization:  0.993
Carcinogencity:  0.059 Eye Corrosion:  0.006
Eye Irritation:  0.671 Respiratory Toxicity:  0.033
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.93
Hematotoxicity:  0.351 Drug-induced Nephrotoxicity:  0.515
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.114
A549 Cytotoxicity:  0.472 Hek293 Cytotoxicity:  0.247
BCF:   0.787
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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:   3.138
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.57
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.672
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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
NPO53139 Rhodiola crenulata (HOOK.f.et Thoms.) H.OHBA Genus Crassulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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

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 NPC520308 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
0.8889 High Similarity NPC601155
0.7292 Intermediate Similarity NPC472025
0.7143 Intermediate Similarity NPC607275
0.6889 Remote Similarity NPC303727
0.6863 Remote Similarity NPC474078
0.6042 Remote Similarity NPC606861
0.6042 Remote Similarity NPC607126
0.5952 Remote Similarity NPC323574
0.5789 Remote Similarity NPC55652
0.5593 Remote Similarity NPC248312
0.5472 Remote Similarity NPC147292
0.5357 Remote Similarity NPC12040
0.5333 Remote Similarity NPC20072
0.5263 Remote Similarity NPC285003
0.5263 Remote Similarity NPC472026
0.5208 Remote Similarity NPC233726
0.52 Remote Similarity NPC145112
0.5167 Remote Similarity NPC469527
0.5156 Remote Similarity NPC609083

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC520308 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
0.537 Remote Similarity NPD3181 Phase 3

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