• Corpus ID: 246294777

Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture

  title={Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture},
  author={Olusola Tolulope Odeyomi and Gergely V. Z{\'a}ruba},
Post-translational modifications (PTMs) in proteins occur after the process of translation. PTMs account for many cellular processes such as deoxyribonucleic acid (DNA) repair, cell signaling and cell death. One of the recent PTMs is succinylation. Succinylation modifies lysine residue from −1 to +1. Locating succinylation sites using experimental methods, such as mass spectrometry is very laborious. Hence, computational methods are favored using machine learning techniques. This paper proposes… 

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