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Updated: Mar 8, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Hidden Markov Models for Protein Domain Homology Identification and Analysis
1Division of Emergency Medicine, Department of Medicine, University of Washington, 325 9th Ave., Seattle, WA, USA. kdj6@uw.edu.
Abstract:
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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