The Full Form of SOPMA is Self-Optimized Prediction method With Alignment.
The Self-Optimized Prediction method With Alignment (SOPMA) is a tool to predict the secondary structure of a protein. Based on the query (primary sequence of a protein), SOPMA will predict its secondary structure. SOPMA is using homologue method of Levin et al.. According to this method, short homologous sequence of amino acids will tend to form similar secondary structure. So it has a whole database consist of 126 chains of non-homologous proteins. If the user enters an unknown protein, it will search against a collection of proteins in the database that have some similar properties and evolutionary history.
SOPMA
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Self-Optimized Prediction method With Alignment
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