CORDIS Project
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This project develops a new method for analyzing protein sequences using hierarchical motif vectors. By converting amino acid sequences into numerical representations, it aims to improve protein classification and alignment, particularly for functional protein groups like transcription factors and antigen-binding prote…
This proposal introduces hierarchical motif vectors for numerical analysis of sequence motifs, and develops a novel framework for alignment and functional classification of proteins.
Hierarchical motif vectors will be computed using multi-scale decompositions of property sequences obtained by converting amino acid sequences into numeric sequences of various amino acid properties.
These hierarchical motif vectors will capture the variations of amino acid properties in the vicinity of each amino a…
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