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Cai, Zhitao; Peng, Hao; Sun, Shuo; He, Jiahao; Luo, Fangfang; Huang, Yandong
Journal of chemical information and modeling, 2024-Apr-22, 2024-04-22, Volume: 64, Issue: 8Journal Article
DeepKa is a deep-learning-based protein p predictor proposed in our previous work. In this study, a web server was developed that enables online protein p 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 '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.
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