02 April, 2024
Her research interests lie in utilizing computational approaches to investigate the intricacies of biological systems, with a specific focus on understanding the dynamic organization of chromatin and its implications for gene regulation. Menna is particularly intrigued by the role of chromatin compartments in shaping the three-dimensional structure of the genome and modulating gene expression patterns.
Her journey into computational biology began during my bachelor's graduation project, where she explored Protein subcellular and secreted localization prediction using deep learning. It was the graduation project and here started the passion. Moreover, Menna immersed herself in two additional projects that further expanded her expertise. She has worked in two projects in protein contextual representation using masked language modeling in drug target interaction prediction and in Structural embedding of protein in drug target affinity prediction using biformer.
These projects not only provided invaluable hands-on experience but also fueled her enthusiasm for computational biology. They underscored the transformative potential of computational approaches in advancing our understanding of biological systems and driving innovation in drug discovery and development. As she continues to explore this dynamic field, Menna is excited to contribute to further advancements at the intersection of computational techniques and biological research.