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Abstract Recent breakthroughs in DNA and protein sequencing have unlockedmany secrets of molecular biology. A complete understanding ofgene function, however, requires a protein structure in addition to itssequence. Accordingly, the better we understand how proteins arebuilt, the better we can deal with many common diseases. Iarticular, information on structural properties of proteins can giveinsight into the way they work and therefore help modern medicineand drug development.The protein structure prediction problem (PSP) iscomputationally predicting the three dimensional structure of proteinfrom the sequence of amino acids. This has been an open problem formore than 30 years and developing a practical solution is widelconsidered the holy grail of computational biology. Computationalmethods applied to PSP fall into three broad categories: Ab initio,homology modeling and protein threading. The latter two methods. |