idMotif: An Interactive Motif Identification in Protein Sequences

This article introduces idMotif, a visual analytics framework designed to aid domain experts in the identification of motifs within protein sequences. Motifs, short sequences of amino acids, are critical for understanding the distinct functions of proteins. Identifying these motifs is pivotal for predicting diseases or infections. idMotif employs a deep learning-based method for the categorization of protein sequences, enabling the discovery of potential motif candidates within protein groups through local explanations of deep learning model decisions. It offers multiple interactive …

analytics article cs.gr cs.hc cs.lg deep learning diseases domain domain experts experts framework functions identification interactive pivotal protein proteins q-bio.qm understanding visual visual analytics