2015
DOI: 10.1007/s00706-015-1606-5
|View full text |Cite
|
Sign up to set email alerts
|

The study of salting-out thin-layer chromatography and their application on QSRR/QSAR of some macrolide antibiotics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 29 publications
0
6
0
Order By: Relevance
“…The most significant ones are a relatively low bioavailability and high costs of production [ 1 , 2 ]. A lot of attention has been paid to designing new analogues: shorter compounds containing the sequence crucial for antimicrobial action or designing novel compounds basing on native AMPs as well as new high throughput methods for their assessment [ 3 , 4 , 5 ]. To obtain compounds with improved stability, several approaches have been applied: advanced drug formulation or modification of chemical structure of compounds, such as introduction of D-amino acid or fatty acid residues into the molecule [ 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…The most significant ones are a relatively low bioavailability and high costs of production [ 1 , 2 ]. A lot of attention has been paid to designing new analogues: shorter compounds containing the sequence crucial for antimicrobial action or designing novel compounds basing on native AMPs as well as new high throughput methods for their assessment [ 3 , 4 , 5 ]. To obtain compounds with improved stability, several approaches have been applied: advanced drug formulation or modification of chemical structure of compounds, such as introduction of D-amino acid or fatty acid residues into the molecule [ 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…A particular example of QSPR is a quantitative structure–retention relationship (QSRR) where the properties are defined as chromatographic parameters. The QSRR/QSAR approach was successfully applied to predict antimicrobial activities of others class of antibiotics (Ciura et al 2016 ).…”
Section: Introductionmentioning
confidence: 99%
“…191 Ledbetter et al 192 have correlated structural fragments obtained from 64 aliphatic and aromatic compounds with log k for these compounds found by IAM-HPLC and have used this to predict log k. They obtained an R 2 value of 0.97 between experimental and predicted log k values. TLC studies using QSRR to predict retention behavior have included RP-TLC with a C8 SP applied to guanidine and imidazoline derivatives, 193 the use of QSRR to predict lipophilicity (and hence antimicrobial properties) for some macrolide antibiotics, 194 the correlation of C18 or CN highperformance TLC retention data with antimalarial activity of 1,2,4,5-mixed tetraoxanes by QSRR 196 (ref 189), and the application of QSRR to prediction of molecular lipophilicity of 12 2,4-dioxotetrahydro-1,3-thiazole derivatives. 195 Filipic et al 197 have applied QSRR using MLR and PLS to investigate the correlations between isocratic retention times (obtained at 5 different percentages of 2-propanol in the MP) and extrapolated retention parameters (log k w values) and they have attempted to interpret the relevance of the chosen descriptors to the separation mechanism.…”
Section: ■ Prediction Of Retention In Icmentioning
confidence: 99%