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  1. Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites
  2. A Comprehensive Review of In silico Analysis for Protein S-sulfenylation Sites
  3. GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features
  4. iLMS, Computational Identification of Lysine-Malonylation Sites by Combining Multiple Sequence Features
  5. SIPMA: A Systematic Identification of Protein-Protein Interactions in Zea mays Using Autocorrelation Features in a Machine-Learning Framework
  6. Computational Modeling of Lysine Post-Translational Modification: An Overview
  7. Species-specific protein succinylation sites predictor.
  8. Computational identification of protein S-sulfenylation sites by incorporating the multiple sequence features information
  9. Opinion Prediction of protein Post-Translational Modification sites: An overview
  10. SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties
  11. Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs