Titlebook: Computational Methods for Predicting Post-Translational Modification Sites; Dukka B. KC Book 2022 The Editor(s) (if applicable) and The Au

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iPTMnet RESTful API for Post-translational Modification Network Analysis,h provides a way to streamline the integration of iPTMnet data into an automated data analysis workflow. In the first section, we give an overview of the architecture of the API. In the second section, we describe various function defined by the API and provide detailed examples of using these functions.

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1064-3745 edicting Post-Translational Modification Sites .aims?to be a?useful?guide for researchers who are interested in the field of PTM site prediction.?.978-1-0716-2319-0978-1-0716-2317-6Series ISSN 1064-3745 Series E-ISSN 1940-6029

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A Pretrained ELECTRA Model for Kinase-Specific Phosphorylation Site Prediction,

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PLDMS: Phosphopeptide Library Dephosphorylation Followed by Mass Spectrometry Analysis to Determinef protein phosphatases. The approach, termed “phosphopeptide library dephosphorylation followed by mass spectrometry” (PLDMS), allows for the exact control of phosphorylation site incorporation and the synthetic route is capable of covering several thousand peptides in a single tube reaction. Furthe

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iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features,ular benchmarks used for this task. Our results demonstrate that iProtGly-SS is able to achieve 81.61%, 93.62%, and 92.95% prediction accuracies on these benchmarks, which are significantly better than those results reported in the previous studies. iProtGly-SS is implemented as a web-based tool whi

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