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Pin-Align: a new dynamic programming approach to align protein-protein interaction networks.

Farid Amir-GhiasvandAbbas Nowzari-DaliniVida Momenzadeh
Published in: Computational and mathematical methods in medicine (2014)
To date, few tools for aligning protein-protein interaction networks have been suggested. These tools typically find conserved interaction patterns using various local or global alignment algorithms. However, the improvement of the speed, scalability, simplification, and accuracy of network alignment tools is still the target of new researches. In this paper, we introduce Pin-Align, a new tool for local alignment of protein-protein interaction networks. Pin-Align accuracy is tested on protein interaction networks from IntAct, DIP, and the Stanford Network Database and the results are compared with other well-known algorithms. It is shown that Pin-Align has higher sensitivity and specificity in terms of KEGG Ortholog groups.
Keyphrases
  • protein protein
  • small molecule
  • machine learning
  • deep learning
  • emergency department
  • transcription factor