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Enhanced Characterization Performance of Propionylation PTM utilizing multiple feature fusion by S.M. Shovan; Boshir Ahmed is a scholarly article available to read on EtoBox.

What is Enhanced Characterization Performance of Propionylation PTM utilizing multiple feature fusion about?

Propionylation post-transnational modification (PTM) is a relatively new and salient modification occurs in the side chain of lysine amino acids under different conditions in both eukaryotes and prokaryotes living cells. It has significant roles in the metabolic processes, regulation of bio-molecules, biological activities including various adverse health problems. Characterization of propionylation PTMs in laboratory using mass-spectrometer requires expertise involvement, moreover, the process is sluggish and cost ineffective. Development of computational models can replace the laboratory methods expanding its global reach to any level of users.We developed an efficient model combining assorted features like physicochemical, amino acid frequency and evolutionary based features by feeding into different classifiers. We managed to get accuracy, sensitivity, specificity and MCC of 95.12 ± 0.8%, 92.41 ± 1.7%, 97.82 ± 1.2% and 90.42 ± 1.6% respectively which outperformed the previously developed state-of-the-art models.

Author

S.M. Shovan; Boshir Ahmed

Publisher

ACM

Published

2022

Language

EN