Abdelkader A. Metwally
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Abdelkader A. Metwally has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Rania Mohammed Hathout
Ain Shams University
2 shared publications - Dalia S. Ali
Department of Biotechnology, Central Administration of Biological, Innovative Products and Clinical Studies, Egyptian Drug Authority, Giza 11566, Egypt
1 shared publication - Hend Mohamed Abdel-Bar
Department of Pharmaceutics, Faculty of Pharmacy, University of Sadat City, Menoufia 32897, Egypt
1 shared publication - Marina Mamdouh
Drug Design Program, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
1 shared publication - Orchid A. Mahmoud
Drug Design Program, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
1 shared publication - Shaymaa A. Abd-Algaleel
Department of Pharmaceutics, Egyptian Drug Authority, Cairo 12618, Egypt
1 shared publication
Latest Publications
- 10 July 2021
- Published by Springer Nature in Journal of Cluster Science
- Vol. 33 (5) , 2031-2036
Modeling Drugs-PLGA Nanoparticles Interactions Using Gaussian Processes: Pharmaceutics Informatics Approach
- 10 July 2021
- Published by Springer Nature in Journal of Cluster Science
- Vol. 33 (5) , 2031-2036
Modeling Drugs-PLGA Nanoparticles Interactions Using Gaussian Processes: Pharmaceutics Informatics Approach
- Open Access
- 5 July 2021
- Published by MDPI AG in Pharmaceuticals
- Vol. 14 (7) , 645
Evolution of the Computational Pharmaceutics Approaches in the Modeling and Prediction of Drug Payload in Lipid and Polymeric Nanocarriers
This review describes different trials to model and predict drug payload in lipid and polymeric nanocarriers. It traces the evolution of the field from the earliest attempts when numerous solubility and Flory-Huggins models were applied, to the emergence of molecular dynamic simulations and docking studies, until the exciting practically successful era of artificial intelligence and machine learning. Going through matching and poorly matching studies with the wet lab-dry lab results, many key aspects were reviewed and addressed in the form of sequential examples that highlighted both cases.
- 5 July 2021
- Published by MDPI AG in Pharmaceuticals
- Vol. 14 (7) , 645
Open AccessEvolution of the Computational Pharmaceutics Approaches in the Modeling and Prediction of Drug Payload in Lipid and Polymeric Nanocarriers
This review describes different trials to model and predict drug payload in lipid and polymeric nanocarriers. It traces the evolution of the field from the earliest attempts when numerous solubility and Flory-Huggins models were applied, to the emergence of molecular dynamic simulations and docking studies, until the exciting practically successful era of artificial intelligence and machine learning. Going through matching and poorly matching studies with the wet lab-dry lab results, many key aspects were reviewed and addressed in the form of sequential examples that highlighted both cases.