DeepKa Web Server: High-Throughput Protein p<i>K</i>_a Prediction

Abstract

DeepKa is a deep-learning-based protein p<i>K</i>_a predictor proposed in our previous work. In this study, a web server was developed that enables online protein p<i>K</i>_a prediction driven by DeepKa. The web server provides a user-friendly interface where a single step of entering a valid PDB code or uploading a PDB format file is required to submit a job. Two case studies have been attached in order to explain how p<i>K</i>_a's calculated by the web server could be utilized by users. Finally, combining the web server with post processing as described in case studies, this work suggests a quick workflow of investigating the relationship between protein structure and function that are pH dependent. The web server of DeepKa is freely available at http://www.computbiophys.com/DeepKa/main.