Natural Product: NPC37592

Natural Product IDNPC37592
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BSCUNSVAACYEAI-ZUSAUGBTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

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 BSCUNSVAACYEAI-ZUSAUGBTSA-N
Standard InCHI InChI=1S/C17H30O15/c18-1-5-14(10(23)11(24)15(27)30-5)32-17-13(26)9(22)8(21)6(31-17)3-29-16-12(25)7(20)4(19)2-28-16/h4-27H,1-3H2/t4-,5+,6+,7+,8-,9+,10-,11+,12-,13+,14-,15-,16-,17+/m0/s1
SMILES C([C@@H]1[C@@H]([C@H]([C@H]([C@@H](O)O1)O)O)O[C@@H]1[C@@H]([C@@H]([C@H]([C@@H](CO[C@H]2[C@H]([C@@H]([C@H](CO2)O)O)O)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.16 Volume:   408.772
?
Van der Waals volume.
Dense:   1.16 LogP:   -3.291
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -2.561
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   0.019
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   18.0
TPSA:   248.45
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   10.0 Rings:   3.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.172 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.859 Fsp3:   1.0
MCE-18:   66.294
?
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:   0.344 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.044
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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
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.503 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.04 MDCK Permeability:   -4.944
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
PAMPA:   1.0
?
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):   0.991
20% Bioavailability (F20%):   0.939 30% Bioavailability (F30%):   0.954
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.466
Plasma Protein Binding (PPB):   22.841% Volume Distribution (VD):   -0.541
Fu: 83.215%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.094
OATP1B3 inhibitor:   0.05 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.978
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):  0.937 Half-life (T1/2):  2.572

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.048
Human Hepatotoxicity (H-HT):  0.562 Drug-induced Liver Injury (DILI):  0.832
AMES Toxicity:  0.991 Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.051 Eye Corrosion:  0.0
Eye Irritation:  0.357 Respiratory Toxicity:  0.025
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  0.989
Hematotoxicity:  0.814 Drug-induced Nephrotoxicity:  0.905
Genotoxicity:  0.228 RPMI-8226 Immunitoxicity:  0.259
A549 Cytotoxicity:  0.781 Hek293 Cytotoxicity:  0.141
BCF:   0.043
?
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:   1.417
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.057
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.214
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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
NPO3762 Amentotaxus argotaenia Species Taxaceae Eukaryota Leaves; Twigs n.a. n.a. PMID[32633512]
NPO822 Cressa cretica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11832 Pinus banksiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3102 Arachniodes exilis Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9311 Parkia clappertoniana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9051 Delesseria sanguinea Species Delesseriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3102 Arachniodes exilis Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO11832 Pinus banksiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12895 Polypodiodes niponica Species Polypodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10177 Eria linearifolia Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9051 Delesseria sanguinea Species Delesseriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10588 Diploschistes violarius Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9311 Parkia clappertoniana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5205 Gymnoascus reesii Species Gymnoascaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3762 Amentotaxus argotaenia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO822 Cressa cretica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3102 Arachniodes exilis Species Dryopteridaceae 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 NPC37592 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 NPC303727
0.6327 Remote Similarity NPC246558
0.6327 Remote Similarity NPC67660
0.6327 Remote Similarity NPC165198
0.6327 Remote Similarity NPC209753
0.6327 Remote Similarity NPC58629
0.5849 Remote Similarity NPC317023
0.5849 Remote Similarity NPC489878
0.5536 Remote Similarity NPC472025
0.537 Remote Similarity NPC89145
0.537 Remote Similarity NPC157514
0.537 Remote Similarity NPC322314
0.537 Remote Similarity NPC269166
0.5254 Remote Similarity NPC474078
0.5106 Remote Similarity NPC323574
0.5094 Remote Similarity NPC145112

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC37592 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
0.6327 Remote Similarity NPD888 Phase 3
0.6327 Remote Similarity NPD890 Clinical (unspecified phase)
0.6327 Remote Similarity NPD891 Phase 3
0.6327 Remote Similarity NPD892 Phase 3
0.6327 Remote Similarity NPD893 Approved
0.5263 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