AGHA WAFA ABBAS2025-12-172025-12-172022https://escholar.umt.edu.pk/handle/123456789/16667Lysine post-translational modifications (PTMs) are indispensable in manipulating protein activities as well as biological mechanisms. Notwithstanding, due to the brobdingnagian amounts of sequencing data elicited by genome-sequencing endeavors, rigorous unearthing of distinct kinds of lysine PTM substrates and PTM sites across the whole proteome poses a substantial obstacle. We utterly flabbergast to probe that a plethora of computational approaches in determining lysine PTMs have been contrived throughout current times. Ergo, here is an imperative necessity to scrutinize such approaches and amalgamate their methodologies in order to ameliorate and subsequently burgeon computational strategies for accurately recognizing lysine PTMs utilizing gargantuan volumes of sequence data. In this research, I utilize a maximum of 240 research articles.enComputational predictors for lysine post-translational modification sitesto prevent sars-cov-2 and iav infection.Thesis