4.7 Article

Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility

期刊

BIOINFORMATICS
卷 29, 期 16, 页码 2056-2058

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt344

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资金

  1. Science Foundation Ireland [10/RFP/GEN2749]
  2. Irish Research Council for Science, Engineering and Technology
  3. Science Foundation Ireland (SFI) [10/RFP/GEN2749] Funding Source: Science Foundation Ireland (SFI)

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Protein secondary structure and solvent accessibility predictions are a fundamental intermediate step towards protein structure and function prediction. We present new systems for the ab initio prediction of protein secondary structure and solvent accessibility, Porter 4.0 and PaleAle 4.0. Porter 4.0 predicts secondary structure correctly for 82.2% of residues. PaleAle 4.0's accuracy is 80.0% for prediction in two classes with a 25% accessibility threshold. We show that the increasing training set sizes that come with the continuing growth of the Protein Data Bank keep yielding prediction quality improvements and examine the impact of protein resolution on prediction performances.

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