Literature DB >> 8090708

Accuracy of protein flexibility predictions.

M Vihinen1, E Torkkila, P Riikonen.   

Abstract

Protein structural flexibility is important for catalysis, binding, and allostery. Flexibility has been predicted from amino acid sequence with a sliding window averaging technique and applied primarily to epitope search. New prediction parameters were derived from 92 refined protein structures in an unbiased selection of the Protein Data Bank by developing further the method of Karplus and Schulz (Naturwissenschaften 72:212-213, 1985). The accuracy of four flexibility prediction techniques was studied by comparing atomic temperature factors of known three-dimensional protein structures to predictions by using correlation coefficients. The size of the prediction window was optimized for each method. Predictions made with our new parameters, using an optimized window size of 9 residues in the prediction window, were giving the best results. The difference from another previously used technique was small, whereas two other methods were much poorer. Applicability of the predictions was also tested by searching for known epitopes from amino acid sequences. The best techniques predicted correctly 20 of 31 continuous epitopes in seven proteins. Flexibility parameters have previously been used for calculating protein average flexibility indices which are inversely correlated to protein stability. Indices with the new parameters showed better correlation to protein stability than those used previously; furthermore they had relationship even when the old parameters failed.

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Year:  1994        PMID: 8090708     DOI: 10.1002/prot.340190207

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  91 in total

1.  Improved amino acid flexibility parameters.

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2.  Label-free protein quantitation using weighted spectral counting.

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Review 5.  Understanding protein non-folding.

Authors:  Vladimir N Uversky; A Keith Dunker
Journal:  Biochim Biophys Acta       Date:  2010-02-01

6.  Sequence composition and environment effects on residue fluctuations in protein structures.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

7.  Resolving the ambiguity: Making sense of intrinsic disorder when PDB structures disagree.

Authors:  Shelly DeForte; Vladimir N Uversky
Journal:  Protein Sci       Date:  2016-01-09       Impact factor: 6.725

8.  Unraveling the nature of the segmentation clock: Intrinsic disorder of clock proteins and their interaction map.

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Journal:  Comput Biol Chem       Date:  2006-06-22       Impact factor: 2.877

9.  Characterization of molecular recognition features, MoRFs, and their binding partners.

Authors:  Vladimir Vacic; Christopher J Oldfield; Amrita Mohan; Predrag Radivojac; Marc S Cortese; Vladimir N Uversky; A Keith Dunker
Journal:  J Proteome Res       Date:  2007-05-09       Impact factor: 4.466

10.  Composition Profiler: a tool for discovery and visualization of amino acid composition differences.

Authors:  Vladimir Vacic; Vladimir N Uversky; A Keith Dunker; Stefano Lonardi
Journal:  BMC Bioinformatics       Date:  2007-06-19       Impact factor: 3.169

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