Book Chapter

Designing Effective Predictors of Protein Post-Translational Modifications Using iLearnPlus

Z Chen, F Li, X Wang, Y Wang, L Kurgan, J Song

Machine Learning in Bioinformatics of Protein Sequences Algorithms Databases and Resources for Modern Protein Bioinformatics | WORLD SCIENTIFIC | Published : 2022

Abstract

Posttranslational modifications (PTMs) have vital roles in a myriad of biological processes, such as metabolism, DNA damage response, transcriptional regulation, protein-protein interactions, cell death, immune response, signaling pathways and aging. Identification of PTM sites is a crucial first step for biochemical, pathological and pharmaceutical studies associated with the functional characterization of proteins. However, experimental approaches for identifying PTM sites are relatively expensive, labor-intensive and time-consuming, partly due to the dynamics and reversibility of PTMs. In this context, computational methods that accurately predict PTMs serve as a useful alternative, espec..

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University of Melbourne Researchers