Question

Protein secondary structure prediction using statistical analysis is proposed by

Answer 1

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Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its folding and its secondary and tertiary structure from its primary structure.

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Answer 2

Answer:

Protein secondary structure prediction using statistical analysis is proposed by Schmidler et al.

Explanation:

The accuracy of protein secondary shape prediction has been enhancing step by step in the direction of the 88% anticipated theoretical limit. There are  kinds of prediction algorithms: Single-collection prediction algorithms suggest that records approximately other (homologous) proteins isn't always available, at the same time as algorithms of the second one kind suggest that records approximately homologous proteins is available, and use it intensively. The single-collection algorithms may want to make an vital contribution to research of proteins without a detected homologs, but the accuracy of protein secondary shape prediction from a single-collection isn't always as excessive as while the extra evolutionary records is present.

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