Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign (SpringerBriefs in Computer Science)

Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign (SpringerBriefs in Computer Science)


This paintings covers sequence-based protein homology detection, a basic and demanding bioinformatics challenge with a number of real-world purposes. The textual content first surveys a number of renowned homology detection tools, reminiscent of Position-Specific Scoring Matrix (PSSM) and Hidden Markov version (HMM) established tools, after which describes a singular Markov Random Fields (MRF) dependent technique constructed by means of the authors. MRF-based equipment are even more delicate than HMM- and PSSM-based equipment for distant homolog detection and fold acceptance, as MRFs can version long-range residue-residue interplay. The textual content additionally describes the deploy, utilization and outcome interpretation of courses imposing the MRF-based technique.

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