Functional inferences from blind ab initio protein structure predictions.

R Bonneau; J Tsai; I Ruczinski; D Baker

doi:10.1006/jsbi.2000.4370

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Functional inferences from blind ab initio protein structure predictions.

R Bonneau·J Tsai·I Ruczinski·D Baker

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Abstract

Ab initio protein structure prediction methods have improved dramatically in the past several years. Because these methods require only the sequence of the protein of interest, they are potentially applicable to the open reading frames in the many organisms whose sequences have been and will be determined. Ab initio methods cannot currently produce models of high enough resolution for use in rational drug design, but there is an exciting potential for using the methods for functional annotation of protein sequences on a genomic scale. Here we illustrate how functional insights can be obtained from low-resolution predicted structures using examples from blind ab initio structure predictions from the third and fourth critical assessment of structure prediction (CASP3, CASP4) experiments.

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Computational Biology Models, Chemical Molecular Structure Protein Conformation Protein Folding Protein Structure, Secondary Protein Structure, Tertiary Proteins Journal Article Review

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R Bonneau, J Tsai, I Ruczinski, D Baker. Functional inferences from blind ab initio protein structure predictions.. https://doi.org/10.1006/jsbi.2000.4370

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