Natural Product: NPC508937

Natural Product IDNPC508937
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~{S},4~{S},5~{R},6~{R})-2-(hydroxymethyl)-6-[(2~{S})-2-methylbutoxy]tetrahydropyran-3,4,5-triol
IUPAC Name (2~{R},3~{S},4~{S},5~{R},6~{R})-2-(hydroxymethyl)-6-[(2~{S})-2-methylbutoxy]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 DMALNKYCYUUBGC-OVHRRVLLSA-N
Standard InCHI InChI=1S/C11H22O6/c1-3-6(2)5-16-11-10(15)9(14)8(13)7(4-12)17-11/h6-15H,3-5H2,1-2H3/t6-,7+,8+,9-,10+,11+/m0/s1
SMILES CC[C@H](C)CO[C@@H]1O[C@H](CO)[C@@H](O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   250.14 Volume:   242.997
?
Van der Waals volume.
Dense:   1.029 LogP:   0.109
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.305
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -1.31
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   6.0
TPSA:   99.38
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Topological Polar Surface Area.
 H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   1.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.492 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.741 Fsp3:   1.0
MCE-18:   22.091
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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:   0.256 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:   0.028
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.467 Promiscuous compounds:   0.015

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.347 MDCK Permeability:   -4.721
Pgp-inhibitor:   0.011 Pgp-substrate:   0.823
PAMPA:   0.823
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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):   0.801
20% Bioavailability (F20%):   0.329 30% Bioavailability (F30%):   0.962
50% Bioavailability (F50%):   0.797

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.144 MRP1:   0.227
Plasma Protein Binding (PPB):   54.901% Volume Distribution (VD):   -0.391
Fu: 45.709%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.979
OATP1B3 inhibitor:   0.976 BCRP inhibitor:   0.139
BSEP inhibitor:   0.005

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.077 CYP2C19-substrate:   0.026
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.007 CYP3A4-substrate:   0.483
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.812
HLM stability:   0.622
?
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):  2.803 Half-life (T1/2):  2.13

ADMET: Toxicity

hERG Blockers:  0.028 hERG Blockers (10um):  0.108
Human Hepatotoxicity (H-HT):  0.484 Drug-induced Liver Injury (DILI):  0.466
AMES Toxicity:  0.88 Rat Oral Acute Toxicity:  0.04
Maximum Recommended Daily Dose:  0.018 Skin Sensitization:  0.996
Carcinogencity:  0.262 Eye Corrosion:  0.039
Eye Irritation:  0.847 Respiratory Toxicity:  0.058
Drug-induced Neurotoxicity:  0.095 Ototoxicity:  0.841
Hematotoxicity:  0.395 Drug-induced Nephrotoxicity:  0.585
Genotoxicity:  0.027 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.241 Hek293 Cytotoxicity:  0.141
BCF:   0.452
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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:   2.415
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.832
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.021
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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
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[ 16712885]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.foodchem.2013.08.121]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Flowers n.a. n.a. PMID[16180814]
NPO8258 Camellia sinensis Species Theaceae Eukaryota seeds Shizuoka prefecture, Japan n.a. PMID[16499314]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[18068204]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[21434603]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. flower n.a. PMID[21922925]
NPO8258 Camellia sinensis Species Theaceae Eukaryota flower buds n.a. n.a. PMID[21925888]
NPO8258 Camellia sinensis Species Theaceae Eukaryota leaves n.a. n.a. PMID[22377672]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. leaf n.a. PMID[23265489]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaves Bandung, West Java, Indonesia PMID[23621359]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[37255739]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Seed Oil n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaf Essent. Oil n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Cotyledon n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8258 Camellia sinensis Species Theaceae 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

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 NPC508937 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
0.7059 Intermediate Similarity NPC124963
0.6579 Remote Similarity NPC233726
0.6389 Remote Similarity NPC326533
0.625 Remote Similarity NPC155457
0.6176 Remote Similarity NPC107914
0.6176 Remote Similarity NPC242073
0.6 Remote Similarity NPC23134
0.5952 Remote Similarity NPC13143
0.5952 Remote Similarity NPC294813
0.5952 Remote Similarity NPC606861
0.5952 Remote Similarity NPC607126
0.5714 Remote Similarity NPC42503
0.5714 Remote Similarity NPC282143
0.5714 Remote Similarity NPC71381
0.5714 Remote Similarity NPC299781
0.5714 Remote Similarity NPC157193
0.5714 Remote Similarity NPC263407
0.5714 Remote Similarity NPC608193
0.5532 Remote Similarity NPC277570
0.5476 Remote Similarity NPC268243
0.5349 Remote Similarity NPC145112
0.5319 Remote Similarity NPC147292
0.525 Remote Similarity NPC143326
0.5217 Remote Similarity NPC100204
0.5208 Remote Similarity NPC63058
0.5185 Remote Similarity NPC37866
0.5122 Remote Similarity NPC31496
0.5106 Remote Similarity NPC166250
0.5102 Remote Similarity NPC206601
0.5091 Remote Similarity NPC235051

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC508937 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
0.575 Remote Similarity NPD904 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