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

نویسندگان

  • Claudio Mirabello
  • Gianluca Pollastri
چکیده

SUMMARY 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. AVAILABILITY Porter 4.0 and PaleAle 4.0 are freely available for academic users at http://distillf.ucd.ie/porterpaleale/. Up to 64 kb of input in FASTA format can be processed in a single submission, with predictions now being returned to the user within a single web page and, optionally, a single email.

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عنوان ژورنال:
  • Bioinformatics

دوره 29 16  شماره 

صفحات  -

تاریخ انتشار 2013