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Amino acids alignment accuracy

This branch of bioinformatics is concerned with computational approaches to predict and analyse the spatial structure of proteins and nucleic acids. Whereas in many cases the primary sequence uniquely specifies the 3D structure, the specific rules are not well understood, and the protein folding problem remains largely unsolved. Some aspects of protein structure can already be predicted from amino acid content. Secondary structure can be deduced from the primary sequence with statistics or neural networks. When using a multiple sequence alignment, secondary structure can be predicted with an accuracy above 70%. [Pg.262]


See other pages where Amino acids alignment accuracy is mentioned: [Pg.537]    [Pg.563]    [Pg.294]    [Pg.140]    [Pg.179]    [Pg.112]    [Pg.17]    [Pg.122]    [Pg.17]    [Pg.1627]    [Pg.203]    [Pg.216]    [Pg.47]    [Pg.521]    [Pg.547]    [Pg.111]    [Pg.233]    [Pg.578]    [Pg.540]    [Pg.141]    [Pg.588]    [Pg.2247]   
See also in sourсe #XX -- [ Pg.89 ]




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Alignment accuracy

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