Methodological Advances in the Study of Drug-Drug Interactions | Chapter 1 | Pharmaceutical Science: New Insights and Developments Vol. 9

 

Drug-drug interactions (DDIs) represent a critical pharmacokinetic parameter that significantly influences the efficacy and safety of therapeutic agents. While the majority of DDI studies employ in vitro methodologies, in vivo and in silico approaches are also applied. This book chapter provides a comprehensive summary of the various methods utilised to study drug-drug interactions. We thoroughly explain and discuss nine prominent in vitro techniques: UV-VIS absorption spectral analysis, conductometric analysis, Ardon’s method, Job’s continuous variation method, Differential Scanning Calorimetry (DSC), FTIR spectroscopic investigation, and Thin Layer Chromatography (TLC)—all demonstrated through the detection of interactions between two model drugs (DRUG A and DRUG B). Additionally, we cover fluorescence spectroscopy, exemplified by its use in examining drug-protein interactions and high-performance liquid chromatography (HPLC), as applied to detect the interaction between drugs and their excipients. Furthermore, we outline fundamental in vivo methods, which typically involve the use of young, healthy animals of varying body weights. Finally, we explore three key in silico methods: Quantitative Structure–Activity Relationship (QSAR) Models, Molecular Docking and Molecular Dynamics (MD) Simulations, and Physiologically Based Pharmacokinetic (PBPK) Modelling and AI and ML methods. Overall, this chapter offers an in-depth exploration of DDI methodologies and serves as an accessible and foundational guide for researchers wanting to conduct DDI studies.

 

Author(s) Details

Fahima Aktar
Molecular Pharmacology and Herbal Drug Research Laboratory, Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka, Dhaka-1000, Bangladesh.

 

Farjana Akter
Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.

 

Tasnuva Sharmin
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka, Dhaka-1000, Bangladesh.

 

Niaz Morshed
Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.

 

Md. Shah Amran
Department of Pharmacy, School of Pharmacy and Public Health, Independent University, Bangladesh, Bashudhara Residential Area, Plot 16, Block B, Dhaka-1245, Bangladesh.

Please see the book here :- https://doi.org/10.9734/bpi/psnid/v9/6360

An Overview of the Adaptive Robust DFT and It’s Applications | Chapter 6 | Technological Innovation in Engineering Research Vol. 4

This paper discusses the resilient discrete Fourier transform (RDFT) approach, which is used for robust processing of wideband and frequency-modulated (FM) signals buried in non-Gaussian heavy-tailed noise. We concentrate on using robust estimators, both adaptive and non-adaptive, to conduct spectrum analysis and filtering on signals that have undergone impulsive distortions. It is shown that using adaptive location parameter estimators is better than using non-adaptive ones by exploring a variety of them. By contrasting the effectiveness of adaptive and non-adaptive RDFT approaches in various noise scenarios, this is demonstrated. Recent developments in the area are also covered.

Author(s) Details:

Oleksii Roienko,

National Aerospace University, Kharkov, Ukraine.

Vladimir Lukin,

National Aerospace University, Kharkov, Ukraine.

Viacheslav Oliinyk,

National Aerospace University, Kharkov, Ukraine.

Igor Djurovic,

University of Montenegro, Podgorica, Montenegro.

Marco Simeunovic,

University of Donja Gorica, Podgorica, Montenegro.

Please see the link here: https://stm.bookpi.org/TIER-V4/article/view/7311

Metrological Research of Methods and Means of EEG Analysis in Science and Medicine | Book Publisher International

 This small monograph contains in-depth critical examinations on four EEG analysis methods: 1) the disadvantages and errors of coherent analysis; 2) errors in spectral estimates of EEG amplitude compared to direct amplitude measurements; 3) a new method for analysing EEG synchronicity using envelopes correlation and demonstrating its effectiveness in differentiating norm and schizophrenia; 4) the final solution to the problem of selecting the best reference electrode for EEG recording.

Author(S) Detalis

A. P. Kulaichev
Department of Biology, Moscow State University, Moscow, 119234, Russia.

View Book:- https://stm.bookpi.org/MRMMEASM/article/view/3427