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From Opengenome.net
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<p><strong>Protein engineering</strong> is the application of science, mathematics, and economics bioinformatics to the process of developing useful or valuable proteins. It is a young has been an old discipline, with much research currently taking place into the understanding of protein folding and protein recognition for protein design principles.</p>
<p>There are two general strategies for protein engineering. The first is known as <em>rational design</em>, in which the scientist uses detailed knowledge of the structure and function of the protein to make desired changes. This has the advantage of being generally inexpensive and easy, since site-directed mutagenesis techniques are well-developed. However, there is a major drawback in that detailed structural knowledge of a protein is often unavailable, and even when it is available, it can be extremely difficult to predict the effects of various mutations.</p>
<p>Computational protein design algorithms seek to identify amino acid sequences that have low energies for target structures. While the sequence-conformation space that needs to be searched is large, the most challenging requirement for computational protein design is a fast, yet accurate, energy function that can distinguish optimal sequences from similar suboptimal ones. Using computational methods, a protein with a novel fold has been designed[1], as well as sensors for un-natural molecules[2].</p>
<li>Protein folding </li>
<li>Protein design </li>
<li>Proteinengineering.org</li>
<li>Proteinomics </li>
<li>Proteome </li>
<li>Structural biology </li>
<li>Structome</li>
</ul>
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