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MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and

Duolin Wang1,2, Dongpeng Liu2, Jiakang Yuchi2

  • 1Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.

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|April 24, 2020
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Summary

MusiteDeep offers a fast, deep-learning tool for predicting protein post-translational modification (PTM) sites using only protein sequences. This updated framework enhances prediction accuracy and visualizes multiple PTMs simultaneously, aiding in the analysis of PTM cross-talks.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • Protein post-translational modifications (PTMs) are crucial for cellular functions.
  • Accurate prediction of PTM sites is essential for understanding protein regulation.
  • Existing methods often require complex features or extensive computation.

Purpose of the Study:

  • To present an updated deep-learning framework, MusiteDeep, for efficient PTM site prediction and visualization.
  • To enable simultaneous prediction and analysis of multiple PTMs and potential cross-talks.
  • To provide an interactive platform for reviewing predicted PTM sites with known annotations and 3D structures.

Main Methods:

  • Utilized advanced ensemble techniques within a deep-learning framework.
  • Developed a webserver accepting only protein sequences for PTM site prediction.
  • Integrated homology-based search for PTM site visualization against known annotations and structures.
  • Maintained a downloadable database of pre-processed PTM annotations from UniProt/Swiss-Prot.

Main Results:

  • Achieved real-time prediction for large protein sets, processing 1000 sequences in under three minutes per PTM type.
  • Demonstrated competitive performance in PTM site prediction, validated by external benchmarking.
  • Enabled simultaneous prediction and visualization of multiple PTMs, facilitating PTM cross-talk analysis.
  • Provided interactive tools for exploring predicted PTM sites in context with structural and functional data.

Conclusions:

  • MusiteDeep provides a highly efficient and accurate platform for PTM site prediction and analysis.
  • The updated framework supports simultaneous multi-PTM analysis and PTM cross-talk investigation.
  • The integrated database and visualization tools enhance the utility for researchers studying protein modifications.