Hidden Markov Models for Protein Domain Homology Identification and Analysis.

Methods Mol Biol

Division of Emergency Medicine, Department of Medicine, University of Washington, 325 9th Ave., Seattle, WA, USA.

Published: February 2018

Protein domain identification and analysis are cornerstones of modern proteomics. The tools available to protein domain researchers avail a variety of approaches to understanding large protein domain families. Hidden Markov Models (HMM) form the basis for identifying and categorizing evolutionarily linked protein domains. Here I describe the use of HMM models for predicting and identifying Src Homology 2 (SH2) domains within the proteome.

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http://dx.doi.org/10.1007/978-1-4939-6762-9_3DOI Listing

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