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Computational Methods for Predicting Post-Translational Modification Sites

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Cover of 'Computational Methods for Predicting Post-Translational Modification Sites'

Table of Contents

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    Book Overview
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    Chapter 1 Maximizing Depth of PTM Coverage: Generating Robust MS Datasets for Computational Prediction Modeling
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    Chapter 2 PLDMS: Phosphopeptide Library Dephosphorylation Followed by Mass Spectrometry Analysis to Determine the Specificity of Phosphatases for Dephosphorylation Site Sequences.
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    Chapter 3 FEPS: A Tool for Feature Extraction from Protein Sequence
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    Chapter 4 A Pretrained ELECTRA Model for Kinase-Specific Phosphorylation Site Prediction
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    Chapter 5 iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
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    Chapter 6 Functions of Glycosylation and Related Web Resources for Its Prediction
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    Chapter 7 Analysis of Posttranslational Modifications in Arabidopsis Proteins and Metabolic Pathways Using the FAT-PTM Database
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    Chapter 8 Bioinformatic Analyses of Peroxiredoxins and RF-Prx: A Random Forest-Based Predictor and Classifier for Prxs
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    Chapter 9 Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins
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    Chapter 10 iPTMnet RESTful API for Post-translational Modification Network Analysis
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    Chapter 11 Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADEL
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    Chapter 12 Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models – Development, Validation, and Interpretation
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    Chapter 13 Exploration of Protein Posttranslational Modification Landscape and Cross Talk with CrossTalkMapper
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    Chapter 14 PTM-X: Prediction of Post-Translational Modification Crosstalk Within and Across Proteins
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    Chapter 15 Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
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Title
Computational Methods for Predicting Post-Translational Modification Sites
Published by
Springer US, May 2022
DOI 10.1007/978-1-0716-2317-6
ISBNs
978-1-07-162316-9, 978-1-07-162317-6
Editors

KC, Dukka B.

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