Publications by authors named "A Tsantili-Kakoulidou"
Introduction: Immobilized artificial membrane (IAM) chromatography is widely used in many aspects of drug discovery. It employs stationary phases, which contain phospholipids combining simulation of biological membranes with rapid measurements.
Areas Covered: Advances in IAM stationary phases, chromatographic conditions and the underlying retention mechanism are discussed.
An analytical approach has been developed to verify the authenticity of premium lentils originating from Eglouvi, Lefkada, Greece. The method relies on the digestion of samples followed by the analysis of their rare earth elements (REEs) content. Lentils originating from Eglouvi exhibit higher content in most REEs compared to lentils from other regions as well as distinct Sc/Y and Sc/Yb concentration ratios.
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- High-throughput methods for estimating how drugs interact with the brain are crucial for early drug screening due to the challenges posed by the blood-brain barrier (BBB) and the complex nature of brain tissue.
- This study combined experimental data from specialized chromatography techniques with molecular descriptors to create models that estimate drug disposition in the brain, emphasizing the importance of factors like plasma and tissue binding.
- The resulting models showed strong statistical reliability, indicating that understanding protein and tissue binding in relation to BBB permeability can improve the evaluation of central nervous system drug candidates.
Fraction Lipophicity Index (FLI) has been developed as a composite drug-like metric combining log and log in a weighted manner. In the present study, an extended data set confirmed the previously established drug-like FLI range 0-8 using two calculation systems for log /log assessment, the freeware MedChem Designer and ClogP. The dataset was split into two classes according to the percentage of fraction absorbed (%FA) - class 1 including drugs with high to medium absorption levels and class 2 including poorly absorbed drugs.
View Article and Find Full Text PDF: In multi-objective drug design, optimization gains importance, being upgraded to a discipline that attracts its own research. Current strategies are broadly classified into single - objective optimization (SOO) and multi-objective optimization (MOO).: Starting with SOO and the ways used to incorporate multiple criteria into it, the present review focuses on MOO techniques, their comparison, advantages, and restrictions.
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