PERCEPTRON-PTMKB: A Web Server for Residue-Based Post-Translational Modification Analysis and Propensity Scoring

The identification of post-translational modifications (PTMs) of protein residues is vital for understanding protein functions and their subsequent role in cellular processes. Researchers have collected substantial experimental data on PTMs along with their validation and assortment into online databases. However, these databases do not offer integration with protein search and identification tools which then prevent researchers from seamlessly employing them in deciphering PTMs in biological samples. Additionally, there is a lack of tools that evaluate protein residues in light of their neighborhoods for the variety of PTMs found in PTM databases. Here, we propose PERCEPTRON-PTMKB, a web server designed for the analysis and evaluation of PTM sites using empirical datasets. PERCEPTRON-PTMKB provides a quantitative evaluation of per-residue PTM site through its propensity scoring algorithm. The search and propensity calculation pipelines are also served via a secure RESTful API, which enables their seamless integration into protein sequence search engines. PERCEPTRON-PTMKB is available freely at https://perceptronptmkb.lums.edu.pk.