Abdulrahman Mkia
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Abdulrahman Mkia has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Abdallah Yaghi
School of Information, Journalism and Communication, The University of Sheffield, Sheffield S10 2AH, UK
1 shared publication - Abdullah Isreb
School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, Lancashire, UK
1 shared publication - Ala’ Sirhan
Department of Pharmacy, College of Pharmacy, Amman Arab University, Amman, Jordan
1 shared publication - Enoche Florence Oga
Department of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK
1 shared publication - Khaled Al-Jammal
SGS Quay Pharmaceuticals Ltd., Quay House, 28 Parkway, Deeside Industrial Park, Deeside CH5 2NS, UK
1 shared publication - Michael Bonner
Department of Life Sciences, University of Bradford, Bradford BD7 1DP, UK
1 shared publication
Latest Publications
- Open Access
Exploring Quinazoline as a Scaffold for Developing Novel Therapeutics in Alzheimer’s Disease
Quinazoline, a privileged scaffold in medicinal chemistry, offers promising potential in the synthesis of anti-Alzheimer’s disease (AD) drugs. This heterocyclic compound, characterized by its fused benzene and pyrimidine rings, enables the design of multifunctional agents targeting AD pathology. The drug-like aspects and pharmaceutical features of quinazoline derivatives have the potential to give rise to various therapeutic drugs. AD is a progressive neurodegenerative condition marked by memory decline, cognitive deterioration, and language disorders. Given its complexity and multifaceted nature, there is a pressing need to discover multi-target drugs to effectively address this debilitating disorder. A comprehensive literature review has demonstrated that quinazoline derivatives exhibit a wide range of therapeutic potential for AD. These compounds function as inhibitors of cholinesterases, β-amyloid aggregation, oxidative stress, and tau protein, among other protective effects. Here, we highlight the most significant and recent research on quinazoline-based anti-AD agents, aiming to support the development and discovery of novel treatments for AD.
Open AccessExploring Quinazoline as a Scaffold for Developing Novel Therapeutics in Alzheimer’s Disease
Quinazoline, a privileged scaffold in medicinal chemistry, offers promising potential in the synthesis of anti-Alzheimer’s disease (AD) drugs. This heterocyclic compound, characterized by its fused benzene and pyrimidine rings, enables the design of multifunctional agents targeting AD pathology. The drug-like aspects and pharmaceutical features of quinazoline derivatives have the potential to give rise to various therapeutic drugs. AD is a progressive neurodegenerative condition marked by memory decline, cognitive deterioration, and language disorders. Given its complexity and multifaceted nature, there is a pressing need to discover multi-target drugs to effectively address this debilitating disorder. A comprehensive literature review has demonstrated that quinazoline derivatives exhibit a wide range of therapeutic potential for AD. These compounds function as inhibitors of cholinesterases, β-amyloid aggregation, oxidative stress, and tau protein, among other protective effects. Here, we highlight the most significant and recent research on quinazoline-based anti-AD agents, aiming to support the development and discovery of novel treatments for AD.
- Open Access
- 6 January 2025
- Published by MDPI AG in Methods and Protocols
- Vol. 8 (1) , 4
Evaluation of Drug–Polymer and Drug–Drug Interaction in Cellulosic Multi-Drug Delivery Matrices
Multi-drug delivery systems have gained increasing interest from the pharmaceutical industry. Alongside this is the interest in amorphous solid dispersions as an approach to achieve effective oral delivery of compounds with solubility-limited bioavailability. Despite this, there is limited information regarding predicting the behavior of two or more drugs (in amorphous forms) in a polymeric carrier and whether molecular interactions between the compounds, between each compound, and if the polymer have any effect on the physical properties of the system. This work studies the interaction between model drug combinations (two of ibuprofen, malonic acid, flurbiprofen, or naproxen) dispersed in a polymeric matrix of hypromellose acetate succinate (HPMCAS) using a solvent evaporation technique. Hildebrand and Hansen calculations were used to predict the miscibility of compounds as long as the difference in their solubility parameter values was not greater than 7 MPa1/2. It was observed that the selected APIs (malonic acid, ibuprofen, naproxen, and flurbiprofen) were miscible within the formed polymeric matrix. Adding the API caused depression in the Tg of the polymer to certain concentrations (17%, 23%, 13%) for polymeric matrices loaded with malonic acid, ibuprofen, and naproxen, respectively. Above this, large crystals started to form, and phase separation was seen. Adding two APIs to the same matrix resulted in reducing the saturation concentration of one of the APIs. A trend was observed and linked to Hildebrand and Hansen solubility parameters (HSP).
- 6 January 2025
- Published by MDPI AG in Methods and Protocols
- Vol. 8 (1) , 4
Open AccessEvaluation of Drug–Polymer and Drug–Drug Interaction in Cellulosic Multi-Drug Delivery Matrices
Multi-drug delivery systems have gained increasing interest from the pharmaceutical industry. Alongside this is the interest in amorphous solid dispersions as an approach to achieve effective oral delivery of compounds with solubility-limited bioavailability. Despite this, there is limited information regarding predicting the behavior of two or more drugs (in amorphous forms) in a polymeric carrier and whether molecular interactions between the compounds, between each compound, and if the polymer have any effect on the physical properties of the system. This work studies the interaction between model drug combinations (two of ibuprofen, malonic acid, flurbiprofen, or naproxen) dispersed in a polymeric matrix of hypromellose acetate succinate (HPMCAS) using a solvent evaporation technique. Hildebrand and Hansen calculations were used to predict the miscibility of compounds as long as the difference in their solubility parameter values was not greater than 7 MPa1/2. It was observed that the selected APIs (malonic acid, ibuprofen, naproxen, and flurbiprofen) were miscible within the formed polymeric matrix. Adding the API caused depression in the Tg of the polymer to certain concentrations (17%, 23%, 13%) for polymeric matrices loaded with malonic acid, ibuprofen, and naproxen, respectively. Above this, large crystals started to form, and phase separation was seen. Adding two APIs to the same matrix resulted in reducing the saturation concentration of one of the APIs. A trend was observed and linked to Hildebrand and Hansen solubility parameters (HSP).