Natural Product: NPC566632

Natural Product IDNPC566632
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
alpha-D-allopyranose
IUPAC Name (2~{S},3~{R},4~{R},5~{S},6~{R})-6-(hydroxymethyl)tetrahydropyran-2,3,4,5-tetrol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic 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 WQZGKKKJIJFFOK-UKFBFLRUSA-N
Standard InCHI InChI=1S/C6H12O6/c7-1-2-3(8)4(9)5(10)6(11)12-2/h2-11H,1H2/t2-,3-,4-,5-,6+/m1/s1
SMILES OC[C@H]1O[C@H](O)[C@H](O)[C@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   180.06 Volume:   156.517
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Van der Waals volume.
Dense:   1.15 LogP:   -2.242
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -2.107
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   0.246
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   6.0
TPSA:   110.38
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   5.0 Rings:   1.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.29 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.595 Fsp3:   1.0
MCE-18:   22.667
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.043 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:   0.06
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.541 Promiscuous compounds:   0.174

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.406 MDCK Permeability:   -4.949
Pgp-inhibitor:   0.0 Pgp-substrate:   0.732
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):   0.992
20% Bioavailability (F20%):   0.953 30% Bioavailability (F30%):   0.977
50% Bioavailability (F50%):   0.978

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.143 MRP1:   0.337
Plasma Protein Binding (PPB):   17.7% Volume Distribution (VD):   -0.45
Fu: 82.635%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.668
OATP1B3 inhibitor:   0.779 BCRP inhibitor:   0.066
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.52 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.914
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):  2.196 Half-life (T1/2):  1.897

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.16
Human Hepatotoxicity (H-HT):  0.618 Drug-induced Liver Injury (DILI):  0.683
AMES Toxicity:  0.953 Rat Oral Acute Toxicity:  0.186
Maximum Recommended Daily Dose:  0.024 Skin Sensitization:  0.999
Carcinogencity:  0.458 Eye Corrosion:  0.096
Eye Irritation:  0.973 Respiratory Toxicity:  0.255
Drug-induced Neurotoxicity:  0.263 Ototoxicity:  0.551
Hematotoxicity:  0.759 Drug-induced Nephrotoxicity:  0.659
Genotoxicity:  0.406 RPMI-8226 Immunitoxicity:  0.124
A549 Cytotoxicity:  0.675 Hek293 Cytotoxicity:  0.151
BCF:   0.144
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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:   1.587
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   2.882
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.173
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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
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. DOI[10.1016/j.biotechadv.2015.06.003]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[11551769]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[1593278]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[18232659]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[21693706]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[21939253]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[22101040]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[25730866]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[5447649]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[809439]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[TCMID]
NPO6232 Streptomyces griseus Species Streptomycetaceae Bacteria 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 NPC566632 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
1.0 High Similarity NPC73906
1.0 High Similarity NPC285364
1.0 High Similarity NPC255377
1.0 High Similarity NPC92246
1.0 High Similarity NPC165846
1.0 High Similarity NPC176017
1.0 High Similarity NPC21209
1.0 High Similarity NPC69445
1.0 High Similarity NPC289758
1.0 High Similarity NPC605355
0.6957 Remote Similarity NPC320189
0.5926 Remote Similarity NPC114208
0.5926 Remote Similarity NPC4884
0.5926 Remote Similarity NPC321087
0.5926 Remote Similarity NPC277475
0.5926 Remote Similarity NPC602568
0.5161 Remote Similarity NPC322801
0.5161 Remote Similarity NPC14144
0.5161 Remote Similarity NPC600826
0.5161 Remote Similarity NPC606475
0.5128 Remote Similarity NPC89145
0.5128 Remote Similarity NPC157514
0.5128 Remote Similarity NPC322314
0.5128 Remote Similarity NPC269166

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC566632 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
1.0 High Similarity NPD8997 Approved
1.0 High Similarity NPD8998 Phase 2
1.0 High Similarity NPD8999 Phase 4
1.0 High Similarity NPD9000 Phase 3
0.5161 Remote Similarity NPD9031 Approved
0.5161 Remote Similarity NPD9032 Phase 4
0.5161 Remote Similarity NPD9033 Approved

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