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Graph Theory-Based Sequence Descriptors as Remote Homology Predictors.

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Summary

Alignment-free methods offer alternatives to alignment-based tools for sequence analysis, excelling at detecting remote homologs. This review covers popular methods, highlights graph theory approaches, and introduces new tools for homology detection and twilight zone delimitation.

Keywords:
QSARalignment-freebig databioinformaticstopological indices

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Alignment-free (AF) methodologies are increasingly popular for comparative sequence analysis.
  • They are particularly effective for detecting remote homologs in the twilight zone of diverse gene/protein families.
  • Graph theory-derived descriptors are emerging as powerful tools for remote homology detection.

Purpose of the Study:

  • To review popular AF approaches for detecting homology signals in the twilight zone.
  • To present state-of-the-art graph theory-based tools for remote homology detection.
  • To introduce new tools and strategies for enhancing remote homology detection and twilight zone delimitation.

Main Methods:

  • Review of popular alignment-free methodologies.
  • Analysis of graph theory-derived sequence/structure descriptors.
  • Integration of AF and alignment-based (AB) features.
  • Application of graphical-numerical methodologies (MARCH-INSIDE, TI2BioP, ProtDCal).
  • Development of a new Python tool (SeqDivA) with a GUI.

Main Results:

  • Popular AF approaches are reviewed, with emphasis on their application in twilight zone homology detection.
  • Graph theory-derived descriptors show significant success in identifying remote homologs.
  • Integrating AF and AB methods improves remote homology signal detection.
  • New tools like SeqDivA are introduced for twilight zone delimitation.

Conclusions:

  • AF methods, especially those employing graph theory, are valuable for remote homology detection.
  • Combining AF and AB approaches enhances prediction accuracy.
  • New computational tools facilitate twilight zone analysis and genome/proteome comparisons.