Practical lessons from protein structure prediction.

Krzysztof Ginalski; Nick V Grishin; Adam Godzik; Leszek Rychlewski

doi:10.1093/nar/gki327

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Practical lessons from protein structure prediction.

Krzysztof Ginalski·Nick V Grishin·Adam Godzik·Leszek Rychlewski

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Abstract

Despite recent efforts to develop automated protein structure determination protocols, structural genomics projects are slow in generating fold assignments for complete proteomes, and spatial structures remain unknown for many protein families. Alternative cheap and fast methods to assign folds using prediction algorithms continue to provide valuable structural information for many proteins. The development of high-quality prediction methods has been boosted in the last years by objective community-wide assessment experiments. This paper gives an overview of the currently available practical approaches to protein structure prediction capable of generating accurate fold assignment. Recent advances in assessment of the prediction quality are also discussed.

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Algorithms Computational Biology Models, Molecular Protein Conformation Protein Folding Sequence Analysis, Protein Journal Article Research Support, Non-U.S. Gov't Review

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Krzysztof Ginalski, Nick V Grishin, Adam Godzik, Leszek Rychlewski. 2005-04-01. Practical lessons from protein structure prediction.. https://doi.org/10.1093/nar%2Fgki327

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