Natural Product: NPC475715

Natural Product IDNPC475715
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Alpha-5-C-(3-Hydroxybutyl)-7-Epi-Australine
IUPAC Name (1R,2R,3R,5R,7R,8R)-5-(3-hydroxybutyl)-3-(hydroxymethyl)-2,3,5,6,7,8-hexahydro-1H-pyrrolizine-1,2,7-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL512479
PubChem CID 11254004
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000220] Pyrrolizidines

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 AITZGXDKERIISX-OTEIUPQTSA-N
Standard InCHI InChI=1S/C12H23NO5/c1-6(15)2-3-7-4-9(16)10-12(18)11(17)8(5-14)13(7)10/h6-12,14-18H,2-5H2,1H3/t6?,7-,8-,9-,10-,11-,12-/m1/s1
SMILES OC[C@@H]1[C@@H](O)[C@@H]([C@@H]2N1[C@H](CCC(O)C)C[C@H]2O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   261.16 Volume:   253.943
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Van der Waals volume.
Dense:   1.028 LogP:   -0.705
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.181
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -0.228
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   9.0
TPSA:   104.39
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   5.0 Rings:   2.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.403 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.752 Fsp3:   1.0
MCE-18:   36.167
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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:   0.06 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:   0.072
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.021 Promiscuous compounds:   0.011

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.721 MDCK Permeability:   -5.151
Pgp-inhibitor:   0.001 Pgp-substrate:   0.947
PAMPA:   0.948
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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):   0.186
20% Bioavailability (F20%):   0.164 30% Bioavailability (F30%):   0.641
50% Bioavailability (F50%):   0.666

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.349 MRP1:   0.478
Plasma Protein Binding (PPB):   19.258% Volume Distribution (VD):   -0.491
Fu: 84.155%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.312
OATP1B3 inhibitor:   0.486 BCRP inhibitor:   0.073
BSEP inhibitor:   0.015

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.005 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.012 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.006 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.302 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.022
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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):  5.238 Half-life (T1/2):  1.97

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.202
Human Hepatotoxicity (H-HT):  0.442 Drug-induced Liver Injury (DILI):  0.056
AMES Toxicity:  0.318 Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.036 Skin Sensitization:  0.795
Carcinogencity:  0.149 Eye Corrosion:  0.014
Eye Irritation:  0.717 Respiratory Toxicity:  0.07
Drug-induced Neurotoxicity:  0.017 Ototoxicity:  0.903
Hematotoxicity:  0.152 Drug-induced Nephrotoxicity:  0.751
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.048
A549 Cytotoxicity:  0.017 Hek293 Cytotoxicity:  0.035
BCF:   0.102
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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:   1.481
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   2.748
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   1.874
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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
NPO22662 Scilla peruviana Species Hyacinthaceae Eukaryota n.a. n.a. n.a. PMID[15165148]
NPO22662 Scilla peruviana Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22662 Scilla peruviana Species Hyacinthaceae 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
NPT1131 Individual protein Alpha-galactosidase Coffea arabica Inhibition < 50.0 % PMID[15568762]
NPT509 Individual protein Beta-galactosidase Bos taurus IC50 = 320000.0 nM PMID[20553004]
NPT61 Individual protein Beta-glucocerebrosidase Homo sapiens Inhibition < 50.0 % PMID[22264149]
NPT506 Individual protein Beta-mannosidase Rattus norvegicus Inhibition < 50.0 % PMID[10096858]
NPT496 Individual protein Alpha-L-fucosidase 1 Bos taurus Inhibition < 50.0 % PMID[23398362]
NPT671 Individual protein Acidic alpha-glucosidase Rattus norvegicus Inhibition < 50.0 % PMID[8277312]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2 Others Unspecified n.a. IC50 = 6600.0 nM PMID[15620241]
NPT2 Others Unspecified n.a. IC50 = 200000.0 nM PubChem BioAssay data set
NPT2 Others Unspecified n.a. Inhibition < 50.0 % PMID[8691203]

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 NPC475715 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
0.6286 Remote Similarity NPC266242
0.6286 Remote Similarity NPC306763
0.6286 Remote Similarity NPC254617
0.6286 Remote Similarity NPC74555
0.6 Remote Similarity NPC184150
0.6 Remote Similarity NPC141156
0.5789 Remote Similarity NPC473419

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475715 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