FlexSLiM: a Novel Approach for Short Linear Motif Discovery in Protein Sequences
Short linear motifs are 3 to 11 amino acid long peptide patterns that play important regulatory roles in modulating protein activities.Although they are abundant in proteins, it is often difficult to discover them by experiments, because of the low affinity binding and transient interaction of short linear motifs with their partners.Moreover, available computational methods cannot effectively predict short linear motifs, due to their short and degenerate nature.Here we developed a novel approach,FlexSLiM, for reliable discovery of short linear motifs in protein sequences.By testing on simulated data and benchmark experimental data, we demonstrated that FlexSLiM more effectively identifies short linear motifs than existing methods.We provide a general tool that will advance the understanding of short linear motifs, which will facilitate the research on protein targeting signals, protein post-translational modifications, and many others.
Short linear motif protein sequences frequent pattern mining deterministic finite automaton
Xiaoman Li Ping Ge Haiyan Hu
Burnett School of Biomedical Science University of Central Florida Orlando, FL, 32816, USA Department of Computer Science University of Central Florida Orlando, FL, 32816, USA
国际会议
成都
英文
32-39
2018-03-12（万方平台首次上网日期，不代表论文的发表时间）